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AI Technical Architect, Manager Consulting

Cognizant

Software and Technology Jobs

AI Technical Architect, Manager Consulting

full-timePosted: Dec 6, 2025

Job Description

AI Technical Architect, Consulting Manager

About the Role

We are seeking a AI Architect who will lead the design, deployment, and integration of advanced AI/ML solutions for real-time manufacturing supply chain systems. This role requires deep expertise in technical architecture, hands-on experience with LLMs and AI agent frameworks, and strong leadership to ensure secure, scalable, and high-impact AI platforms that drive operational excellence and innovation.”

In this role you will

Solution Architecture & Technical Leadership

· Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives.

· Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage.

· Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems.

AI/ML Solution Design & Deployment

· Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization.

· Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses.

· Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards).

Cloud & Infrastructure Management

· Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference.

· Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence.

· Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness.

Security, Compliance & Data Governance

· Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies.

· Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data.

· Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment.

Stakeholder Engagement & Communication

· Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners.

· Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences.

· Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption.

Performance, Risk & Quality Management

· Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement.

· Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks.

· Ensure robust testing, validation, and documentation of all AI/ML components and workflows.

Team Leadership & Knowledge Sharing

· Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers.

· Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team.

· Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices.

Work Model

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 3 days a week in a client or Cognizant office in Plano, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you need to have to be considered

· 12+ years in technical architecture, with 3+ years in AI/ML solution design and deployment.

· Proven experience in AI-driven platforms for manufacturing or supply chain.

· Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI).

· Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments.

· Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management.

· Familiarity with security, compliance (e.g., CCPA), and enterprise data governance.

· Excellent communication, stakeholder management, and technical leadership.

Work Authorization

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.)

Salary and Other Compensation:
Applications will be accepted until January 5, 2026.

The annual salary for this position is between $81,450 - $129,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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

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
  • 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
  • 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 is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives
  • Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage
  • Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems
  • Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization
  • Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses
  • Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards)
  • Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference
  • Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence
  • Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness
  • Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies
  • Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data
  • Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment
  • Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners
  • Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences
  • Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption
  • Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement
  • Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks
  • Ensure robust testing, validation, and documentation of all AI/ML components and workflows
  • Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers
  • Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team
  • Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices

Required Qualifications

  • 2+ years in technical architecture
  • + years in AI/ML solution design and deployment
  • Proven experience in AI-driven platforms for manufacturing or supply chain
  • Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)
  • Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments
  • Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management
  • Familiarity with security, compliance (e.g., CCPA), and enterprise data governance
  • Excellent communication, stakeholder management, and technical leadership

Skills Required

  • Technical architecture
  • AI/ML solution design and deployment
  • AI-driven platforms for manufacturing or supply chain
  • LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)
  • AWS cloud, compute, storage, networking, and GPU environments
  • CI/CD, model registry, monitoring/logging, and AI lifecycle management
  • Security, compliance (e.g., CCPA), and enterprise data governance
  • Communication, stakeholder management, and technical leadership

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

  • Legally authorized to work in the United States without company sponsorship
  • Hybrid work model requiring 3 days a week in a client or Cognizant office in Plano, Texas

Locations

  • India

Salary

81,450 - 129,500 USD / yearly

Skills Required

  • Technical architectureintermediate
  • AI/ML solution design and deploymentintermediate
  • AI-driven platforms for manufacturing or supply chainintermediate
  • LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)intermediate
  • AWS cloud, compute, storage, networking, and GPU environmentsintermediate
  • CI/CD, model registry, monitoring/logging, and AI lifecycle managementintermediate
  • Security, compliance (e.g., CCPA), and enterprise data governanceintermediate
  • Communication, stakeholder management, and technical leadershipintermediate

Required Qualifications

  • 2+ years in technical architecture (experience)
  • + years in AI/ML solution design and deployment (experience)
  • Proven experience in AI-driven platforms for manufacturing or supply chain (experience)
  • Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI) (experience)
  • Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments (experience)
  • Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management (experience)
  • Familiarity with security, compliance (e.g., CCPA), and enterprise data governance (experience)
  • Excellent communication, stakeholder management, and technical leadership (experience)

Responsibilities

  • Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives
  • Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage
  • Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems
  • Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization
  • Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses
  • Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards)
  • Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference
  • Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence
  • Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness
  • Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies
  • Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data
  • Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment
  • Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners
  • Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences
  • Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption
  • Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement
  • Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks
  • Ensure robust testing, validation, and documentation of all AI/ML components and workflows
  • Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers
  • Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team
  • Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices

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

AI Technical Architect, Manager Consulting

Cognizant

Software and Technology Jobs

AI Technical Architect, Manager Consulting

full-timePosted: Dec 6, 2025

Job Description

AI Technical Architect, Consulting Manager

About the Role

We are seeking a AI Architect who will lead the design, deployment, and integration of advanced AI/ML solutions for real-time manufacturing supply chain systems. This role requires deep expertise in technical architecture, hands-on experience with LLMs and AI agent frameworks, and strong leadership to ensure secure, scalable, and high-impact AI platforms that drive operational excellence and innovation.”

In this role you will

Solution Architecture & Technical Leadership

· Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives.

· Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage.

· Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems.

AI/ML Solution Design & Deployment

· Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization.

· Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses.

· Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards).

Cloud & Infrastructure Management

· Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference.

· Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence.

· Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness.

Security, Compliance & Data Governance

· Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies.

· Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data.

· Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment.

Stakeholder Engagement & Communication

· Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners.

· Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences.

· Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption.

Performance, Risk & Quality Management

· Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement.

· Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks.

· Ensure robust testing, validation, and documentation of all AI/ML components and workflows.

Team Leadership & Knowledge Sharing

· Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers.

· Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team.

· Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices.

Work Model

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 3 days a week in a client or Cognizant office in Plano, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you need to have to be considered

· 12+ years in technical architecture, with 3+ years in AI/ML solution design and deployment.

· Proven experience in AI-driven platforms for manufacturing or supply chain.

· Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI).

· Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments.

· Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management.

· Familiarity with security, compliance (e.g., CCPA), and enterprise data governance.

· Excellent communication, stakeholder management, and technical leadership.

Work Authorization

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.)

Salary and Other Compensation:
Applications will be accepted until January 5, 2026.

The annual salary for this position is between $81,450 - $129,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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

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
  • 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
  • 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 is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives
  • Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage
  • Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems
  • Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization
  • Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses
  • Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards)
  • Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference
  • Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence
  • Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness
  • Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies
  • Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data
  • Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment
  • Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners
  • Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences
  • Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption
  • Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement
  • Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks
  • Ensure robust testing, validation, and documentation of all AI/ML components and workflows
  • Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers
  • Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team
  • Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices

Required Qualifications

  • 2+ years in technical architecture
  • + years in AI/ML solution design and deployment
  • Proven experience in AI-driven platforms for manufacturing or supply chain
  • Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)
  • Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments
  • Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management
  • Familiarity with security, compliance (e.g., CCPA), and enterprise data governance
  • Excellent communication, stakeholder management, and technical leadership

Skills Required

  • Technical architecture
  • AI/ML solution design and deployment
  • AI-driven platforms for manufacturing or supply chain
  • LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)
  • AWS cloud, compute, storage, networking, and GPU environments
  • CI/CD, model registry, monitoring/logging, and AI lifecycle management
  • Security, compliance (e.g., CCPA), and enterprise data governance
  • Communication, stakeholder management, and technical leadership

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

  • Legally authorized to work in the United States without company sponsorship
  • Hybrid work model requiring 3 days a week in a client or Cognizant office in Plano, Texas

Locations

  • India

Salary

81,450 - 129,500 USD / yearly

Skills Required

  • Technical architectureintermediate
  • AI/ML solution design and deploymentintermediate
  • AI-driven platforms for manufacturing or supply chainintermediate
  • LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI)intermediate
  • AWS cloud, compute, storage, networking, and GPU environmentsintermediate
  • CI/CD, model registry, monitoring/logging, and AI lifecycle managementintermediate
  • Security, compliance (e.g., CCPA), and enterprise data governanceintermediate
  • Communication, stakeholder management, and technical leadershipintermediate

Required Qualifications

  • 2+ years in technical architecture (experience)
  • + years in AI/ML solution design and deployment (experience)
  • Proven experience in AI-driven platforms for manufacturing or supply chain (experience)
  • Hands-on with LLMs (e.g., GPT, Bedrock), prompt engineering, and AI agent frameworks (CrewAI) (experience)
  • Strong knowledge of AWS cloud, compute, storage, networking, and GPU environments (experience)
  • Experience with CI/CD, model registry, monitoring/logging, and AI lifecycle management (experience)
  • Familiarity with security, compliance (e.g., CCPA), and enterprise data governance (experience)
  • Excellent communication, stakeholder management, and technical leadership (experience)

Responsibilities

  • Lead the end-to-end design and architecture of AI/ML solutions, ensuring alignment with manufacturing and supply chain business objectives
  • Architect scalable, secure, and robust AI-driven platforms, leveraging AWS cloud infrastructure, GPU environments, and enterprise-grade networking and storage
  • Oversee the integration of LLMs (e.g., GPT, Bedrock) and AI agent frameworks (such as CrewAI) into existing and new supply chain systems
  • Design, develop, and deploy AI/ML models, focusing on real-time data processing, anomaly detection, and predictive analytics for supply chain optimization
  • Implement prompt engineering best practices and optimize LLM-based workflows for high-fidelity, context-aware responses
  • Ensure seamless integration of AI agents with APIs, data sources, and user interfaces (e.g., chatbots, dashboards)
  • Define and manage cloud architecture on AWS, including compute, storage, networking, and GPU provisioning for model training and inference
  • Oversee CI/CD pipelines, model registry, monitoring, logging, and AI lifecycle management to support continuous delivery and operational excellence
  • Collaborate with IT and DevOps teams to ensure infrastructure scalability, reliability, and cost-effectiveness
  • Ensure all AI solutions comply with enterprise security standards, data privacy regulations (e.g., CCPA), and internal governance policies
  • Implement end-to-end encryption, access controls, and audit mechanisms for sensitive manufacturing and supply chain data
  • Collaborate with governance, cyber, and compliance teams to address risks and maintain regulatory alignment
  • Serve as the primary technical point of contact for onsite and remote stakeholders, including business leaders, IT, and vendor partners
  • Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences
  • Lead technical workshops, architecture reviews, and solution demos to drive stakeholder alignment and adoption
  • Define and track KPIs for AI solution accuracy, efficiency, and user adoption; leverage dashboards and analytics for continuous improvement
  • Identify and mitigate technical risks, including model drift, data quality issues, and infrastructure bottlenecks
  • Ensure robust testing, validation, and documentation of all AI/ML components and workflows
  • Mentor and guide onsite and remote team members, including data scientists, engineers, and prompt engineers
  • Foster a culture of innovation, collaboration, and continuous learning within the AI delivery team
  • Stay current with advancements in AI/ML, cloud, and supply chain technologies, and drive adoption of best practices

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

Target Your Resume for "AI Technical Architect, Manager Consulting" , Cognizant

Get personalized recommendations to optimize your resume specifically for AI Technical Architect, Manager Consulting. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI Technical Architect, Manager Consulting" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for AI Technical Architect, Manager Consulting @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

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