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 recent 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, p
📌 AI Engineering Lead/Architect (Pune)
🏢 Zensar
📍 Pune