Senior Lead GenAi Engineer

Job Title: Senior / Lead GenAI Engineer
Experience Level: 8 - 15 years
Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are seeking a high-calibre Senior / Lead GenAI Engineer to architect build and lead the delivery of production-grade Generative AI and Agentic AI solutions within our Banking & Financial Services platform. You will combine deep hands-on engineering with technical leadership guiding a team of GenAI engineers contributing production-quality code and partnering with Solution Architects and business stakeholders to bring cutting-edge AI capabilities into real financial products at scale.

Key Responsibilities:

• Lead a team of GenAI engineers providing technical leadership architecture guidance mentoring and code reviews to drive engineering excellence and delivery quality.
  
• Actively contribute production-quality code this is a hands-on role; you will design develop and deploy GenAI solutions alongside the team not just guide from the sidelines.
  
• Design and deploy production-grade GenAI and Agentic AI applications secure scalable compliant and aligned with BFSI regulatory requirements (RBI SEBI GDPR).
  
• Build AI agents and multi-agent workflows using Amazon Bedrock Bedrock Agents AgentCore and modern agent orchestration frameworks enabling autonomous multi-step financial AI processes.
  
• Design and implement RAG-based solutions including vector database integration chunking strategies retrieval optimisation prompt engineering AI guardrails and model evaluation frameworks.
  
• Develop reusable frameworks libraries and accelerators standardising GenAI engineering practices and improving delivery velocity across the team.
  
• Design and implement cloud-native solutions on AWS using services such as Bedrock SageMaker Lambda S3 and Infrastructure as Code (Terraform) for scalable production-ready deployments.
  
• Collaborate with Solution Architects Product Owners and business stakeholders translating complex BFSI requirements (fraud detection risk analytics compliance customer engagement) into scalable GenAI solutions.
  
• Troubleshoot complex technical issues from hallucination rates and retrieval quality to latency cost optimisation and production incidents guiding teams through design and implementation challenges.
  
• Produce high-quality technical documentation including architecture documents HLDs LLDs API documentation deployment guides and operational runbooks for audit and knowledge sharing.
  
• Stay current with emerging AI technologies evaluating new models frameworks and approaches; recommending improvements to architecture engineering practices and solution design.
  

Requirements

• Amazon Bedrock expertise: deep hands-on experience with Bedrock Bedrock Agents AgentCore Knowledge Bases and Bedrock Guardrails for production GenAI applications.
  
• Agentic AI development: proven experience building multi-agent systems and autonomous workflows using LangChain LangGraph LlamaIndex CrewAI AutoGen or AWS-native agent frameworks.
  
• RAG pipeline design: end-to-end RAG implementation vector databases (Pinecone OpenSearch Weaviate pgvector) embedding models retrieval strategies and evaluation using RAGAS or equivalent.
  
• Prompt engineering mastery: advanced prompting techniques few-shot chain-of-thought structured outputs system prompt design and prompt versioning for production systems.
  
• Python proficiency: production-grade Python for GenAI applications API development (FastAPI) and integration with AWS services using Boto3.
  
• AWS cloud architecture: practical experience with AWS services Bedrock SageMaker Lambda S3 DynamoDB API Gateway ECS/EKS and Terraform for IaC.
  
• LLM evaluation and observability: model evaluation frameworks A/B testing hallucination monitoring latency tracking cost optimisation and LLMOps practices in production.
  
• Technical leadership: proven track record leading engineering teams architecture reviews code reviews mentoring and driving delivery standards in an Agile environment.
  
• BFSI domain understanding: familiarity with banking and financial services use cases fraud detection AML credit risk regulatory reporting customer analytics and compliance constraints (RBI SEBI GDPR).
  

Benefits

• Comprehensive Medical Coverage:
  Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
  
• Robust Protection Plans:
  Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
  
• Retirement Benefits:
  PF and Gratuity provided as per standard government regulations.
  
• Flexible Work Options:
  Enjoy hybrid work arrangements & flexible working hours
  
• Generous Leave Policy:
  21 days of annual leave in addition to 10 company-declared holidays.
  
• Employee Well-being Spaces:
  Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.
  

Employment Type : Full Time
Experience: years
Vacancy: 1