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 structured learning pathways around AI, cloud, and modern engineering practices.

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

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 modernization, 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.

▪      Practical experience designing and deploying agentic AI systems — LLM orchestration, tool-use patterns, retrieval-augmented generation, and multi-agent workflows in an enterprise context.

AI & Automation Fluency

▪      Hands-on experience with enterprise AI coding and productivity tools — GitHub Copilot / Claude (Anthropic), and / or Cursor — applied meaningfully across design, development, review, and documentation phases of the SDLC.

▪      Understands where AI drives automation, acceleration, and efficiency within IT application landscapes — and equally where it introduces risk that must be managed, especially in regulated domains.

▪      Ability to differentiate between AI hype and production-ready tooling; pragmatic evaluator of what to adopt, when, and how.

Leadership & Commercial Acumen

▪      Proven P&L ownership at $10M+ scale — comfortable with revenue forecasting, margin management, SOW negotiations, and change order governance.

▪      Excellent stakeholder management with both internal leaders and senior client executives; able to hold a room, manage difficult conversations, and build long-term advisory relationships.

▪      Growth mindset — actively invests in own learning and models the same for the team.

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice