Role Overview :

Were looking for an AI Tech Lead who is first a builder, and second a product translator someone who can design, develop, and deploy AI-powered solutions that directly impact PB Partners agent network, customer journeys, and internal operations.

Youll wear multiple hats :

- 40% Build AI applications and features for our partners & customers.

- 25% Develop internal AI platform & infrastructure.

- 15% Drive AI adoption & enablement across teams.

- 10% Ensure data quality, governance, and compliance.

- 10% Explore new AI capabilities and run PoCs.

Key Responsibilities :

AI Application Development (40%) :

- Design and implement AI features in PB Partners apps (e.g., LLM-powered support, recommendation engines, document parsing).

- Work with product teams to turn business problems into AI-powered workflows.

AI Platform & Infra (25%) :

- Build and maintain scalable AI pipelines, APIs, and tools.

- Manage MLOps, model hosting, and performance optimization (latency, cost, reliability).

AI Adoption & Enablement (15%) :

- Create internal playbooks, templates, and reusable components.

- Run training sessions and hackathons to increase AI literacy.

Data & Governance (10%) :

- Set up secure data pipelines and ensure compliance with IRDAI, PII rules, and ethical AI guidelines.

- Implement bias detection and monitoring tools.

Research & Innovation (10%) :

- Prototype next-gen capabilities (multi-modal models, agentic AI workflows).

- Evaluate emerging AI tools and frameworks for business fit.

What Were Looking For :

Must-Have :

- 5 to 8 years of experience in backend engineering, MLOps, or full-stack AI solution delivery.

- Proven track record of shipping AI features to production (LLM apps, RAG systems, model fine-tuning, etc.)

- Strong in Python/Node.js, API integrations, and cloud platforms (AWS/GCP/Azure).

- Experience with AI frameworks (LangChain, LlamaIndex, Hugging Face) and vector DBs (Pinecone, Weaviate, FAISS).

- Understanding of BFSI/insurance tech or willingness to learn fast.

Good-to-Have :

- Experience in BFSI regulatory compliance & data security.

- Exposure to Indian insurance ecosystem (POSP, GI products).

- Track record in running internal training/adoption programs.

- Comfort with low-code/no-code AI tools for rapid prototyping.

Mindset & Soft Skills :

- 60% Builder : Hands-on coding and deployment.

- 30% Product Translator : Ability to align AI tech with business goals.

- 10% Evangelist : Inspire teams, run demos, document best practices.

- High bias for action ship MVPs in weeks, not months.

- Comfortable juggling infra, application, and adoption work.