Generative AI Tech Lead
People Prime Worldwide
2 - 4 years
Bengaluru
Posted: 15/03/2026
Job Description
About Company :
Our client LTI Mindtree is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
Job Title: Gen AI Tech Lead
Location: PAN INDIA
Experience: 12+ yrs
Job Type : Contract to hire.
Notice Period:- Immediate joiners.
Mandatory Skills:
Role Summary:
Job Title : Gen AI Tech Lead
Role Overview
We are seeking a GenAI Tech Lead with strong expertise in Azure Cloud and Azure OpenAI Services to lead the technical delivery of Generative AI solutions This role combines handson development team leadership and technical problemsolving ensuring secure scalable and highquality delivery of GenAI projects The Tech Lead will mentor engineers enforce best practices and act as the primary escalation point for technical challenges
Experience Requirements
11 years of overall experience in core IT and software development
5 years of handson experience with Azure Cloud with AI technologies
2 years of experience in Generative AI RAG LLMs Azure OpenAI LangChain and related technologies in building AI Agents
Key Responsibilities
Collaborate with clients and stakeholders to align technical delivery with business goals
Break down complex features into actionable tasks and ensure Agile practices are followed
Lead development of GenAI solutions using Azure OpenAI LLMs RAG pipelines LangChainLangGraph and embeddings
Provide handson coding debugging and troubleshooting support
Mentor teams on prompt engineering multiagent orchestration and best practices
Own the application deployment process by defining and implementing CICD pipelines for GenAI applications ensuring secure and reliable delivery
Collaborate with DevOps and Infra teams to validate configurations and enforce security compliance
Establish observability and monitoring frameworks for GenAI workloads
Maintain clear documentation and governance using Confluence and Jira
Build ProofofConcepts POCs aligned with CXOlevel discussions in fast paced environment
Must Have Skills
Strong handson experience with Azure Cloud and Azure OpenAI Services
Proficiency in Python LangChain and RAG workflows
Handson experience with Azure API Management for secure and scalable API exposure
Experience with CICD Agile delivery and secure deployments
Nice to Have
Azure Machine Learning MLflow for model lifecycle
Prompt engineering and evaluation frameworks
Familiarity with containerization DockerKubernetes for AI workloads
Knowledge of Azure security best practices RBAC Key Vault
Preferred Certifications
Microsoft Certified Azure AI Engineer Associate AI102
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