Lead Gen AI Engineer - Careers at Nagarro
Nagarro
Lead Gen AI Engineer - Careers at Nagarro
Job Description
Lead Gen AI Engineer - Careers at Nagarro
Location: Dubai, United Arab Emirates | Job ID: REF52513C
Why Join Nagarro?
Nagarro's Caring Mindset sets us apart, prioritizing your growth, well-being, and professional fulfillment. Embrace a Fluidic Enterprise where agility meets innovation, allowing seamless transitions across projects and technologies. With global opportunities spanning over 30 countries, your career trajectory soars—from Dubai to worldwide impact. Enjoy a supportive culture with mentorship, flexible work options, and a commitment to work-life harmony that empowers you to thrive.
Digital Engineering Excellence
At Nagarro, excellence in digital engineering is our hallmark. As Lead Gen AI Engineer, harness Azure for MLOps, CI/CD pipelines, and scalable LLM integrations. Master RAG workflows, vector databases, and agentic systems to build production-ready Conversational AI and multi-agent frameworks. Our engineers drive PoCs, optimize performance, and deploy reliable AI solutions, translating research into real-world value. With strong Python proficiency and Machine Learning Solution Design, you'll architect APIs/SDKs that power enterprise innovation.
Your Impact at Nagarro
Step into a role where you lead, mentor, and scale AI operations, ensuring observability and reliability. Influence end-to-end delivery from UAT to production rollout, shaping the future of GenAI in the Middle East. Arabic proficiency adds an edge in our diverse, global team. Join Nagarro Careers for unparalleled growth in Software Engineering Jobs, fueled by a Caring Mindset and relentless pursuit of excellence. Be the architect of tomorrow's AI landscape—apply now and elevate your expertise in Dubai's vibrant tech hub. (452 words)
Role Description
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations. Key Responsibilities: Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks. Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations. Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning. Translate research into applied solutions and lead PoC evaluations. Manage end-to-end delivery, UAT, and production rollout readiness. Must-Have Skills: Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design Python (Strong) and advanced RAG Workflow experience Hands-on with agentic workflows and scalable LLM integrations Arabic proficiency is a plus.
Key Responsibilities
- Lead engineering, deployment, and scaling of enterprise-grade AI platforms
- Architect Conversational AI, LLM agents, and multi-agent workflows
- Develop APIs/SDKs for enterprise AI services
- Optimize RAG pipelines with vector DB integrations
- Drive MLOps on Azure including CI/CD and performance tuning
- Translate research into applied solutions and lead PoC evaluations
- Manage end-to-end delivery, UAT, and production rollout
What You Bring (Qualifications)
- Senior level experience
- Hands-on with production-ready GenAI and ML systems
- Expertise in Azure CI/CD and monitoring
Core Skills
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design, Python (Strong), Advanced RAG Workflow, Agentic workflows, Scalable LLM integrations, MLOps, Arabic proficiency
Why Nagarro? (Benefits)
- Caring culture with employee well-being focus
- Fluidic Enterprise enabling flexible work and innovation
- Global opportunities across 30+ countries
- Professional growth through mentorship and leadership roles
- Collaborative environment fostering work-life balance
Locations
- Dubai, United Arab Emirates
Salary
Salary details available upon request
250,000 - 432,000 AED / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Science on Azureintermediate
- Generative AI Fundamentalsintermediate
- Machine Learning Solution Designintermediate
- Python (Strong)intermediate
- Advanced RAG Workflowintermediate
- Agentic workflowsintermediate
- Scalable LLM integrationsintermediate
- MLOpsintermediate
- Arabic proficiencyintermediate
Required Qualifications
- Senior level experience (experience)
- Hands-on with production-ready GenAI and ML systems (experience)
- Expertise in Azure CI/CD and monitoring (experience)
Responsibilities
- Lead engineering, deployment, and scaling of enterprise-grade AI platforms
- Architect Conversational AI, LLM agents, and multi-agent workflows
- Develop APIs/SDKs for enterprise AI services
- Optimize RAG pipelines with vector DB integrations
- Drive MLOps on Azure including CI/CD and performance tuning
- Translate research into applied solutions and lead PoC evaluations
- Manage end-to-end delivery, UAT, and production rollout
Benefits
- general: Caring culture with employee well-being focus
- general: Fluidic Enterprise enabling flexible work and innovation
- general: Global opportunities across 30+ countries
- general: Professional growth through mentorship and leadership roles
- general: Collaborative environment fostering work-life balance
Tags & Categories
Answer 10 quick questions to check your fit for Lead Gen AI Engineer - Careers at Nagarro @ Nagarro.
Related Books and Jobs
Lead Gen AI Engineer - Careers at Nagarro
Nagarro
Lead Gen AI Engineer - Careers at Nagarro
Job Description
Lead Gen AI Engineer - Careers at Nagarro
Location: Dubai, United Arab Emirates | Job ID: REF52513C
Why Join Nagarro?
Nagarro's Caring Mindset sets us apart, prioritizing your growth, well-being, and professional fulfillment. Embrace a Fluidic Enterprise where agility meets innovation, allowing seamless transitions across projects and technologies. With global opportunities spanning over 30 countries, your career trajectory soars—from Dubai to worldwide impact. Enjoy a supportive culture with mentorship, flexible work options, and a commitment to work-life harmony that empowers you to thrive.
Digital Engineering Excellence
At Nagarro, excellence in digital engineering is our hallmark. As Lead Gen AI Engineer, harness Azure for MLOps, CI/CD pipelines, and scalable LLM integrations. Master RAG workflows, vector databases, and agentic systems to build production-ready Conversational AI and multi-agent frameworks. Our engineers drive PoCs, optimize performance, and deploy reliable AI solutions, translating research into real-world value. With strong Python proficiency and Machine Learning Solution Design, you'll architect APIs/SDKs that power enterprise innovation.
Your Impact at Nagarro
Step into a role where you lead, mentor, and scale AI operations, ensuring observability and reliability. Influence end-to-end delivery from UAT to production rollout, shaping the future of GenAI in the Middle East. Arabic proficiency adds an edge in our diverse, global team. Join Nagarro Careers for unparalleled growth in Software Engineering Jobs, fueled by a Caring Mindset and relentless pursuit of excellence. Be the architect of tomorrow's AI landscape—apply now and elevate your expertise in Dubai's vibrant tech hub. (452 words)
Role Description
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations. Key Responsibilities: Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks. Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations. Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning. Translate research into applied solutions and lead PoC evaluations. Manage end-to-end delivery, UAT, and production rollout readiness. Must-Have Skills: Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design Python (Strong) and advanced RAG Workflow experience Hands-on with agentic workflows and scalable LLM integrations Arabic proficiency is a plus.
Key Responsibilities
- Lead engineering, deployment, and scaling of enterprise-grade AI platforms
- Architect Conversational AI, LLM agents, and multi-agent workflows
- Develop APIs/SDKs for enterprise AI services
- Optimize RAG pipelines with vector DB integrations
- Drive MLOps on Azure including CI/CD and performance tuning
- Translate research into applied solutions and lead PoC evaluations
- Manage end-to-end delivery, UAT, and production rollout
What You Bring (Qualifications)
- Senior level experience
- Hands-on with production-ready GenAI and ML systems
- Expertise in Azure CI/CD and monitoring
Core Skills
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design, Python (Strong), Advanced RAG Workflow, Agentic workflows, Scalable LLM integrations, MLOps, Arabic proficiency
Why Nagarro? (Benefits)
- Caring culture with employee well-being focus
- Fluidic Enterprise enabling flexible work and innovation
- Global opportunities across 30+ countries
- Professional growth through mentorship and leadership roles
- Collaborative environment fostering work-life balance
Locations
- Dubai, United Arab Emirates
Salary
Salary details available upon request
250,000 - 432,000 AED / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Science on Azureintermediate
- Generative AI Fundamentalsintermediate
- Machine Learning Solution Designintermediate
- Python (Strong)intermediate
- Advanced RAG Workflowintermediate
- Agentic workflowsintermediate
- Scalable LLM integrationsintermediate
- MLOpsintermediate
- Arabic proficiencyintermediate
Required Qualifications
- Senior level experience (experience)
- Hands-on with production-ready GenAI and ML systems (experience)
- Expertise in Azure CI/CD and monitoring (experience)
Responsibilities
- Lead engineering, deployment, and scaling of enterprise-grade AI platforms
- Architect Conversational AI, LLM agents, and multi-agent workflows
- Develop APIs/SDKs for enterprise AI services
- Optimize RAG pipelines with vector DB integrations
- Drive MLOps on Azure including CI/CD and performance tuning
- Translate research into applied solutions and lead PoC evaluations
- Manage end-to-end delivery, UAT, and production rollout
Benefits
- general: Caring culture with employee well-being focus
- general: Fluidic Enterprise enabling flexible work and innovation
- general: Global opportunities across 30+ countries
- general: Professional growth through mentorship and leadership roles
- general: Collaborative environment fostering work-life balance
Tags & Categories
Answer 10 quick questions to check your fit for Lead Gen AI Engineer - Careers at Nagarro @ Nagarro.
Related Books and Jobs