AI Engineering Leader

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts.  We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do.  In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum.  These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! 

Zensar is looking for a AI Engineering Leader. This position is open for Full Time with excellent benefits and professional growth opportunities.

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, modernization, 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 operationalize 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 st