

Wipro
Lead GenAI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead GenAI Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include GenAI application development, machine learning deployment on AWS/Azure/GCP, and extensive data science experience. A graduate degree in a quantitative discipline is required, along with 5+ years in engineering and technical deployment.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
February 21, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Pandas #Kubernetes #GitHub #CircleCI #Docker #Consulting #Terraform #GitLab #Langchain #PyTorch #Python #Data Science #Jira #Datadog #AI (Artificial Intelligence) #Jenkins #GCP (Google Cloud Platform) #Azure #DevOps #JavaScript #ML (Machine Learning) #Deployment #"ETL (Extract #Transform #Load)" #Statistics #AWS (Amazon Web Services) #Debugging #Computer Science
Role description
About Us:
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clientsβ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world.
Job Requirements
β’ Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
β’ Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
β’ Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
β’ Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
β’ Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
β’ Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
β’ Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
β’ 5+ years of engineering and technical deployment experience in a customer-facing set up
β’ Should scoped and delivered complex systems in rapid and ambiguous environments
β’ Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
β’ Understand how AI model behaviour affects product experience
β’ Communicate clearly with engineers, product teams, and customer stakeholders
β’ Flag risks early and seek attention as per the severity
Key responsibilities:
β’ Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
β’ Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
β’ Own technical delivery across multiple deployments from prototype to stable release
β’ Build bespoke AI and transformative agentic AI solutions
β’ Technical debugging and root cause analysis
β’ Rapid prototyping
β’ Implement and administer best practices
Diversity and Inclusion at Wipro
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, marital status, age, ethnic and national origin, sexual and political orientation and disability status, or any other characteristic protected by law.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
About Us:
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clientsβ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world.
Job Requirements
β’ Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
β’ Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
β’ Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
β’ Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
β’ Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
β’ Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
β’ Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
β’ 5+ years of engineering and technical deployment experience in a customer-facing set up
β’ Should scoped and delivered complex systems in rapid and ambiguous environments
β’ Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
β’ Understand how AI model behaviour affects product experience
β’ Communicate clearly with engineers, product teams, and customer stakeholders
β’ Flag risks early and seek attention as per the severity
Key responsibilities:
β’ Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
β’ Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
β’ Own technical delivery across multiple deployments from prototype to stable release
β’ Build bespoke AI and transformative agentic AI solutions
β’ Technical debugging and root cause analysis
β’ Rapid prototyping
β’ Implement and administer best practices
Diversity and Inclusion at Wipro
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, marital status, age, ethnic and national origin, sexual and political orientation and disability status, or any other characteristic protected by law.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.






