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Principal Architect - GenAI/Agentic

Cognizant

Software and Technology Jobs

Principal Architect - GenAI/Agentic

full-timePosted: Dec 7, 2025

Job Description

About the role

Architecting the Future: Agentic AI & Enterprise Transformation

Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI.

We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era. This strategic role is available across Cognizant’s key delivery locations in US.

You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients.

This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes.

In this role, you will:

  • Architect & Implement Enterprise AI Ecosystems

Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant.

  • Drive AI Strategy

Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies.

  • Industry-Specific AI Solutions

Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality.

  • Develop, Train & Optimize Models

Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization.

  • MLOps & LLMOps Leadership

Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems.

  • People Leadership & Practice Building

Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning.

  • Ecosystem & Partner Engagement

Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts.

  • Innovation & Thought Leadership

Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market.

Work model: Hybrid

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Raleigh, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • 15+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
  • 5+ years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration).
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines.
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP).
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance.
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients.
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices.
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices.
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs).

These will help you stand out

Good to have

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation.
  • Recognized thought leadership (conferences, panels, media interviews).
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling.

Functional Competencies

  • Business Acumen: Identify and execute high-value AI transformations across industries.
  • Consultative Mindset: Convert PoCs/PoVs into long-term transformation programs.
  • Practice Builder: Mentor, hire, and scale AI architecture talent pools.
  • Ecosystem Shaper: Drive co-innovation with hyperscalers, startups, and ISVs.
  • Pragmatic Execution: Balance build-vs-buy, deliver under pressure, and navigate enterprise politics.
  • Translation & Storytelling: Distill complex AI concepts into clear executive-ready narratives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

#LI-NC1

Cog2025

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.


The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Architect & Implement Enterprise AI Ecosystems: Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant
  • Drive AI Strategy: Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies
  • Industry-Specific AI Solutions: Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality
  • Develop, Train & Optimize Models: Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization
  • MLOps & LLMOps Leadership: Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems
  • People Leadership & Practice Building: Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning
  • Ecosystem & Partner Engagement: Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts
  • Innovation & Thought Leadership: Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market

Required Qualifications

  • 5+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership
  • + years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration)
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP)
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs)

Preferred Qualifications

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation
  • Recognized thought leadership (conferences, panels, media interviews)
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling

Skills Required

  • Java/.NET
  • AI/ML
  • Generative & Agentic AI
  • LLMs
  • SLMs
  • Multi-agent orchestration
  • Fine-tuning
  • RAG
  • Evaluation pipelines
  • CI/CD
  • Monitoring
  • Observability
  • Compliance
  • AI cost governance
  • Executive AI strategy
  • AI RMF (NIST)
  • EU AI Act
  • Responsible AI practices
  • Mentoring
  • Building cross-functional AI capability practices
  • Partner alliances

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • Hybrid work model requiring 2-3 days a week in a client or Cognizant office in Raleigh, NC
  • No visa transfer or sponsorship available

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

3,000,000 - 6,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Java/.NETintermediate
  • AI/MLintermediate
  • Generative & Agentic AIintermediate
  • LLMsintermediate
  • SLMsintermediate
  • Multi-agent orchestrationintermediate
  • Fine-tuningintermediate
  • RAGintermediate
  • Evaluation pipelinesintermediate
  • CI/CDintermediate
  • Monitoringintermediate
  • Observabilityintermediate
  • Complianceintermediate
  • AI cost governanceintermediate
  • Executive AI strategyintermediate
  • AI RMF (NIST)intermediate
  • EU AI Actintermediate
  • Responsible AI practicesintermediate
  • Mentoringintermediate
  • Building cross-functional AI capability practicesintermediate
  • Partner alliancesintermediate

Required Qualifications

  • 5+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership (experience)
  • + years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration) (experience)
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines (experience)
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP) (experience)
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance (experience)
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients (experience)
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices (experience)
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices (experience)
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs) (experience)

Preferred Qualifications

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation (experience)
  • Recognized thought leadership (conferences, panels, media interviews) (experience)
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality (experience)
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling (experience)

Responsibilities

  • Architect & Implement Enterprise AI Ecosystems: Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant
  • Drive AI Strategy: Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies
  • Industry-Specific AI Solutions: Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality
  • Develop, Train & Optimize Models: Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization
  • MLOps & LLMOps Leadership: Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems
  • People Leadership & Practice Building: Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning
  • Ecosystem & Partner Engagement: Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts
  • Innovation & Thought Leadership: Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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Cognizant logo

Principal Architect - GenAI/Agentic

Cognizant

Software and Technology Jobs

Principal Architect - GenAI/Agentic

full-timePosted: Dec 7, 2025

Job Description

About the role

Architecting the Future: Agentic AI & Enterprise Transformation

Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI.

We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era. This strategic role is available across Cognizant’s key delivery locations in US.

You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients.

This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes.

In this role, you will:

  • Architect & Implement Enterprise AI Ecosystems

Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant.

  • Drive AI Strategy

Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies.

  • Industry-Specific AI Solutions

Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality.

  • Develop, Train & Optimize Models

Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization.

  • MLOps & LLMOps Leadership

Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems.

  • People Leadership & Practice Building

Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning.

  • Ecosystem & Partner Engagement

Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts.

  • Innovation & Thought Leadership

Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market.

Work model: Hybrid

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Raleigh, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • 15+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
  • 5+ years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration).
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines.
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP).
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance.
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients.
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices.
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices.
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs).

These will help you stand out

Good to have

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation.
  • Recognized thought leadership (conferences, panels, media interviews).
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling.

Functional Competencies

  • Business Acumen: Identify and execute high-value AI transformations across industries.
  • Consultative Mindset: Convert PoCs/PoVs into long-term transformation programs.
  • Practice Builder: Mentor, hire, and scale AI architecture talent pools.
  • Ecosystem Shaper: Drive co-innovation with hyperscalers, startups, and ISVs.
  • Pragmatic Execution: Balance build-vs-buy, deliver under pressure, and navigate enterprise politics.
  • Translation & Storytelling: Distill complex AI concepts into clear executive-ready narratives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

#LI-NC1

Cog2025

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.


The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Architect & Implement Enterprise AI Ecosystems: Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant
  • Drive AI Strategy: Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies
  • Industry-Specific AI Solutions: Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality
  • Develop, Train & Optimize Models: Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization
  • MLOps & LLMOps Leadership: Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems
  • People Leadership & Practice Building: Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning
  • Ecosystem & Partner Engagement: Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts
  • Innovation & Thought Leadership: Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market

Required Qualifications

  • 5+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership
  • + years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration)
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP)
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs)

Preferred Qualifications

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation
  • Recognized thought leadership (conferences, panels, media interviews)
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling

Skills Required

  • Java/.NET
  • AI/ML
  • Generative & Agentic AI
  • LLMs
  • SLMs
  • Multi-agent orchestration
  • Fine-tuning
  • RAG
  • Evaluation pipelines
  • CI/CD
  • Monitoring
  • Observability
  • Compliance
  • AI cost governance
  • Executive AI strategy
  • AI RMF (NIST)
  • EU AI Act
  • Responsible AI practices
  • Mentoring
  • Building cross-functional AI capability practices
  • Partner alliances

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • Hybrid work model requiring 2-3 days a week in a client or Cognizant office in Raleigh, NC
  • No visa transfer or sponsorship available

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

3,000,000 - 6,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Java/.NETintermediate
  • AI/MLintermediate
  • Generative & Agentic AIintermediate
  • LLMsintermediate
  • SLMsintermediate
  • Multi-agent orchestrationintermediate
  • Fine-tuningintermediate
  • RAGintermediate
  • Evaluation pipelinesintermediate
  • CI/CDintermediate
  • Monitoringintermediate
  • Observabilityintermediate
  • Complianceintermediate
  • AI cost governanceintermediate
  • Executive AI strategyintermediate
  • AI RMF (NIST)intermediate
  • EU AI Actintermediate
  • Responsible AI practicesintermediate
  • Mentoringintermediate
  • Building cross-functional AI capability practicesintermediate
  • Partner alliancesintermediate

Required Qualifications

  • 5+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership (experience)
  • + years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration) (experience)
  • Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines (experience)
  • Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP) (experience)
  • MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance (experience)
  • CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients (experience)
  • Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices (experience)
  • People Leadership: Experience mentoring teams and building cross-functional AI capability practices (experience)
  • Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs) (experience)

Preferred Qualifications

  • Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation (experience)
  • Recognized thought leadership (conferences, panels, media interviews) (experience)
  • Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality (experience)
  • Experience with AgentOps, model evaluation frameworks, and AI observability tooling (experience)

Responsibilities

  • Architect & Implement Enterprise AI Ecosystems: Design and implement modular, scalable AI platforms that integrate Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration. Ensure architectures are cloud-native, secure, and industry-compliant
  • Drive AI Strategy: Serve as the anchor architect for major client accounts. Lead C-level discussions to define AI roadmaps that link technology to measurable business outcomes. Influence long-term investment strategies
  • Industry-Specific AI Solutions: Envision, Design and Deliver verticalized AI use cases across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality
  • Develop, Train & Optimize Models: Lead end-to-end model lifecycle: data preparation, training, fine-tuning, deployment, monitoring, and continuous improvement. Balance LLM vs. SLM adoption for cost, latency, and performance optimization
  • MLOps & LLMOps Leadership: Establish enterprise standards for MLOps/LLMOps pipelines (CI/CD, monitoring, observability, drift detection, compliance). Build agent lifecycle governance frameworks for scalable, auditable AI systems
  • People Leadership & Practice Building: Mentor and grow a community of architects and engineers. Build capability squads in GenAI/Agentic AI. Shape the company’s AI practice, including skills development, hiring strategy, and succession planning
  • Ecosystem & Partner Engagement: Build and leverage strategic partnerships with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and co-sell AI solutions into strategic accounts
  • Innovation & Thought Leadership: Publish white papers, frameworks, and patents. Lead executive roundtables and contribute to the Tech Radar, ensuring the firm shapes the AI conversation in the market

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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