More jobs:
Engineering/Technology Leader
Job in
Trenton, Mercer County, New Jersey, 08628, USA
Listed on 2026-06-07
Listing for:
Zensar Technologies
Full Time
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
Zensar is looking for a Technology Manager in the United States (Hybrid). This position is open for Full Time with excellent benefits and professional growth opportunities.
About the Role 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, Dev Sec Ops , and release cadence across multi‑team engagements.
- Manage programme risk proactively — escalate early, resolve decisively, and keep clients informed throughout.
- Embed AI tooling across the SDLC — from AI‑assisted requirements and design through to automated testing, code generation, and incident response.
- Architect and ope rationalise 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.
- 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.
- 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.
- 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.
- .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, Num Py) 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.
- Hands‑on experience with enterprise AI coding and productivity tools — Git Hub 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.
- Bachelor’s / Master’s Degree – Information Technology
Zensar believes that diversity of…
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