Senior GenAi/ Agentic Lead

• The Senior GenAI/Agentic Lead will architect and deliver end-to-end generative AI solutions, including model serving, API integration, and user interaction layers.
• The role involves designing advanced AI systems such as retrieval-augmented generation architectures and multi-agent workflows to enable intelligent automation.
• The position includes building scalable AI platforms, integrating enterprise data, and ensuring performance, security, and compliance across AI applications.
• The lead will also establish best practices, governance, and documentation for enterprise-wide AI adoption.

Requirement/Must Have:

• 8 10 years of experience in cloud architecture or enterprise software engineering.
• 3+ years of hands-on experience designing or delivering generative AI or LLM applications.
• Experience with Azure AI Foundry, Azure OpenAI, and Copilot Studio including governance and integrations.
• Experience deploying AI solutions on AWS or Google Cloud Platform platforms.
• Hands-on experience with RAG architectures, vector databases, embeddings, and hybrid search.
• Strong understanding of cloud security including IAM, RBAC, encryption, and network security.
• Experience with Kubernetes and containerization technologies.
• Experience with API frameworks and programming languages such as Python, TypeScript, or C#.
• Knowledge of transformer architectures and model adaptation techniques.
• Familiarity with AI Ops or MLOps tools.

Experience:

• Experience building scalable AI and machine learning systems.
• Experience working with enterprise data ecosystems and distributed systems.
• Experience implementing AI governance, safety, and compliance practices.

Responsibilities:

• Architect end-to-end generative AI solutions and platforms.
• Design and implement retrieval-augmented generation architectures.
• Build agent-based systems for complex workflows and automation.
• Develop and manage copilots and AI integrations across enterprise systems.
• Optimize AI system performance including quality, latency, and cost.
• Implement responsible AI, security, and human-in-the-loop controls.
• Collaborate with cross-functional teams to integrate AI solutions.
• Document architecture, processes, and best practices.

Should Have:

• Experience with agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
• Experience with enterprise data platforms such as Databricks or Snowflake.
• Knowledge of responsible AI frameworks and compliance practices.
• Experience working in regulated industries.
• Experience with observability tools for AI systems.

Skills:

• Strong expertise in generative AI and machine learning systems.
• Strong cloud architecture and engineering skills.
• Excellent problem-solving and analytical abilities.
• Strong communication and leadership skills.
• Ability to manage complex projects and stakeholders.

Qualification And Education:

• Bachelor s or Master s degree in Computer Science, Engineering, Information Systems, Data Science, or related field required.