GenAI

Your tasks

We are looking for a Generative AI Technical lead /Engineer , the end-to-end design, and governance of enterprise-grade GenAI solutions. This role will act as the principal technical authority driving scalable, secure, and responsible AI implementations across the organization.

Define GenAI architecture blueprints, reference architectures, and technology standards

Design and implement RAG pipelines, agentic workflows, and model fine-tuning frameworks

Hands-on development of production-grade GenAI applications Evaluate and select LLMs, vector databases, and orchestration frameworks

Architect integrations with enterprise platforms (CRM, ERP, HRIS, data platforms)

Optimize performance, latency, and GPU/TPU cost efficiency Implement Responsible AI governance (bias mitigation, XAI, toxicity filtering, data provenance)

Lead LLMOps practices – deployment, monitoring, versioning, CI/CD

Drive GenAI innovation roadmap and emerging technology pilots

Act as GenAI SME for C-level stakeholders and business leaders

Requirements

Experience: 10+ years (3+ years in GenAI / LLM architecture)

Technical Expertise Required 10+ years in Technical Architecture / Data / ML Engineering

3+ years designing production-grade GenAI solutions Deep expertise in LLMs, Transformers, RAG, prompt engineering

Strong experience with AWS / Azure / GCP (Bedrock, Azure OpenAI, Vertex AI)

Proficiency in Python and ML libraries (PyTorch, TensorFlow) Hands-on with vector databases (OpenSearch, Pinecone, Weaviate, etc.)

Strong knowledge of containerization & orchestration (Docker, Kubernetes)

Experience with data pipelines, embedding, and modern data architectures

Strong understanding of security, privacy, and regulatory compliance (GDPR)

Other

We’re Hiring | Generative AI Technical Lead Domain: BFS / BFSI (Preferred)