Engineering Leader/AI Lead/Architect

Engineering Leader

*Engineering & Delivery Leadership BFSI, Retail & Consumer Services People Leader*

Function

Engineering & AI Delivery

Seniority

Senior Leader (15 17 years)

Location

Pune Bangalore Hyderabad Chennai

Portfolio Scope

$10M+ P&L responsibility

Domain Focus

Banking, Financial Services, Insurance, Retail & Consumer services

Qualification

B.E./B.Tech/M.E./M.Tech Computer Science, Electronics & Telecom

 **The Role**     

We are looking for a battle-tested AI Engineering Leader who sits at the intersection of delivery excellence and intelligent automation. This is not a role for generalists it demands someone who has shipped large-scale technology programmes across industry verticals, built or modernised cloud-native platforms, and is now leaning into AI to drive measurably faster, smarter delivery. You will anchor a delivery-led growth motion, working hand-in-glove with practice, consulting, and client partner leaders to expand the portfolio while keeping quality non-negotiable.

 **What You Will Do**           **Delivery & Programme Leadership**     

• Own end-to-end delivery of a $10M+ engineering portfolio across clients on time, on budget, and to quality bar.
• Lead platform build, modernisation, and custom application programmes natively on cloud, spanning .NET Full-Stack, Java Distributed Systems, Python stack etc.
• Set and enforce engineering standards: architecture guardrails, code quality, DevSecOps, and release cadence across multi-team engagements.

• Manage programme risk proactively escalate early, resolve decisively, and keep clients informed throughout.

  AI-Driven Engineering Acceleration

• Embed AI tooling across the SDLC from AI-assisted requirements and design through to automated testing, code generation, and incident response.
• Architect and operationalise agentic systems and workflows that reduce manual toil, accelerate delivery cycles, and improve output quality.
• Quantify the impact of AI adoption: establish baselines, track velocity and quality metrics, and present measurable efficiency gains to clients and leadership.

• Stay ahead of the AI tooling curve; evaluate and pilot emerging platforms (LLM orchestration, RAG pipelines, AI code assistants).

  Portfolio & Revenue Growth

• Carry full P&L accountability for the portfolio margin, revenue, forecasting, and commercial hygiene.
• Partner with practice, consulting, and client partner leaders to identify expansion opportunities within existing accounts and shape new pursuit strategies.

• Translate delivery track record into growth narrative contribute to proposals, solution designs, and client presentations that differentiate on execution credibility.

  Client & Stakeholder Engagement

• Serve as the senior delivery point-of-contact for clients build trust-based relationships at CTO/CIO/VP level.
• Facilitate governance forums (steering committees, QBRs, escalation calls) with clarity and confidence.

• Align internal stakeholders practice heads, resource managers, people leaders to programme needs without bureaucratic drag.

  People & Capability Development

• Lead, mentor, and grow a high-performing engineering organisation; foster a culture of ownership and continuous improvement.
• Champion individual upskilling create structured learning pathways around AI, cloud, and modern engineering practices.

• Spot and develop next-generation delivery leaders from within the team.

  What You Bring Experience & Background

• 15 17 years in software engineering with a significant portion in leadership roles managing multi-team, multi-million-dollar programmes.

• Hands-on track record of delivering platform build, legacy modernisation, and greenfield application programmes on cloud not just oversight, but technical depth you can draw on in client conversations.

  Technical Stack & Architecture

• .NET Full-Stack (C#, ASP.NET Core, Azure-native services) and/or Java Distributed Systems (Spring Boot, microservices, Kafka, Kubernetes) you can assess architecture quality, not just read status reports.
• Python stack experience (FastAPI, Django/Flask, pandas, NumPy) particularly for data pipelines, AI/ML integrations, and automation scripts.
• Cloud-native delivery on Azure, AWS, or GCP; Infrastructure as Code, CI/CD pipelines, container orchestration, and observability are second nature. -…