×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Engineering​/Technology Leader

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Zensar Technologies
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
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.
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 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.
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
  • 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.
Education
  • Bachelor’s / Master’s Degree – Information Technology

Zensar believes that diversity of…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary