AI Engineering Leader

Zensar Technologies Ltd

Atlanta (GA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Flexible work arrangements

Job summary

Zensar Technologies Ltd is seeking an AI Engineering Leader in Atlanta to drive end-to-end delivery of large-scale engineering portfolios on cloud platforms. You will lead platform modernization, set engineering standards, and manage risk while guiding multi-team programs to on-time, on-budget outcomes.

Ideal candidates bring 15–17 years in software engineering with leadership, hands-on cloud delivery, and a proven ability to grow client engagements.

Qualifications

15–17 years in software engineering with leadership experience.
Hands-on track record delivering platform build, modernization, and cloud-based programmes.
Experience managing multi-team, multi-million-dollar portfolios.
Proven ability to drive delivery, establish standards, and manage client relationships.

Responsibilities

Own end-to-end delivery of a $10M+ engineering portfolio across clients.
Lead platform build, modernization, and cloud-based programmes across stacks.
Set engineering standards: architecture guardrails, DevSecOps, release cadence.
Partner with practice, consulting, and client leaders to identify growth.
Translate delivery track record into proposals and client-ready designs.

Skills

Delivery leadership

AI tooling adoption

Cloud-native delivery

Stakeholder management

Education

BE/BTech/ME/MTech CS/EC/Telecom

Tools

Azure

AWS

GCP

Job description

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 — elevate 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).
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.

What Success Looks Like

Outcome How We Measure It

Delivery‑led growth Year-on-year portfolio revenue growth; new SOWs sourced from existing accounts

Execution excellence On-time, on-budget delivery rate; CSAT scores; reduction in critical defect leakage

AI‑driven efficiency Measurable reduction in manual effort and cycle times through AI tooling; documented ROI presented to clients

People & capability Team retention, upskilling completion rates, and promotion pipeline health

Qualifications

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

Domain focus : Banking, Financial Services, Insurance, Retail & Consumer services

About Us

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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.

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.

Job Info