Senior AI Lead

Incedo Platform & Solutions| brAInspark & Enterprise AI Products

LOCATION: Gurugram

EXPERIENCE: 8–12 years

REPORTS TO: Engineering Manager

ABOUT INCEDO

Incedo is a global AI and data transformation specialist, helping companies turn digital investment into sustainable business impact by delivering ROI from AI@Scale . We are 4,000+ people across the US, Canada, Latin America and India, working with Fortune 500 enterprises and rapid-growing clients in banking & payments, wealth management, telecom, hi-tech and life sciences.

Build what's next in AI, data and enterprise platforms

Our Platform & Solutions portfolio is where Incedo builds AI-native products for real enterprise problems: Incedo Lighthouse (AI-powered decision intelligence), DataXel (agentic data modernization), brAInspark (agentic AI enablement), IncedoPay (integrated payables), Kratos (regulatory compliance and data control for banking) and DQXpert (AI-powered data quality) — plus domain products across customer support, document processing, quality engineering, healthcare and financial services.

WHY THIS ROLE brAInspark is a live agentic AI platform that enterprises deploy multi-agent systems on. What you build runs inside their businesses, against their data, under their compliance regimes. You decide what the platform may do autonomously — and then prove it is safe to do it.

THE ROLE

You lead the AI engineering team behind Incedo’s agentic and GenAI products. You own the AI technology roadmap , the reference architecture for agentic systems across the portfolio, and the engineering standards the team builds to.

This is a hands-on role . You will be in the code, in the evals and in the architecture reviews — not only in the roadmap deck.

WHAT YOU'LL OWN

1. Agentic and GenAI system design

- Build production RAG, agentic and LLM-based systems — multi-agent orchestration, tool use, memory and MCP-based enterprise integration.
- Define the agent reference architecture across Incedo’s platforms,



so teams build on shared patterns rather than one per product.
- Evaluate and integrate foundation models — what to call, what to fine-tune, and what should never be a model at all.

2. Evaluation, quality and governance

- Own the evaluation strategy: offline evals, regression suites, human review loops and production LLM observability.
- Establish guardrails — hallucination mitigation, PII-safe prompting, cost and latency budgets, and graceful fallbacks when confidence drops.
- Set AI engineering standards for prompt versioning, reproducibility, testing and code quality.

3. Platform and delivery

- Take solutions from prototype to production on cloud-native infrastructure.
- Partner with Product, Solution Architecture and Engineering to turn roadmap intent into shippable increments.

4. Team leadership

- Lead, mentor and grow the AI engineering team; run technical reviews and raise the technical bar.
- Contribute to hiring and capability building as the team scales.

WHAT YOU'LL BRING

- 8+ years in software engineering, including 4+ years building AI/ML systems — and still hands-on.
- Strong programming depth (Python preferred) with production-grade, reviewable code.
- LLM and GenAI systems shipped to production , not only prototyped.
- Agent frameworks in practice: LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen or LlamaIndex.
- RAG done properly: retrieval strategy, embeddings, vector databases — and diagnosing a weak pipeline.
- Model platform fluency: Azure AI / OpenAI APIs, AWS Bedrock or Google Vertex AI.
- Cloud-native delivery: Docker, Kubernetes, CI/CD.
- Engineering judgement — knowing when a deterministic solution beats a model, and saying so.

GOOD TO HAVE

- AI features built inside a product company, not only in client delivery.
- MCP, multi-agent systems and agent interoperability patterns.
- Model evaluation tooling, observability and MLOps/LLMOps at scale; Azure AI Engineer, AWS ML Specialty or equivalent certification.

EDUCATION B.E. / B.Tech / M.Tech / M.S. in Computer Science, Engineering or a related technical discipline. Equivalent industry experience considered.

📌 Senior AI Lead (Gurugram)
🏢 Incedo
📍 Gurugram