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Senior AI Agent Engineer
Job in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-07-23
Listing for:
HCLTech
Full Time
position Listed on 2026-07-23
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
HCLTech is looking for a highly talented and self- motivated Senior AI Agent Engineer to join it in advancing the technological world through innovation and creativity.
Job Title: Senior AI Agent Engineer
Job : 129738
Position Type: Full-time
Location: New York/New Jersey (Hybrid)
Role / Responsibilities- Build Business Transformation Agent(s): design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI.
- Own efficiency as the scorecard: drive delivery efficiency and operational efficiency; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve.
- Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration.
- Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication.
- Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable.
- Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python.
- Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships.
- Own Agent Ops / Dev Sec Ops : CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one.
- Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design.
- Stay ahead of the curve: adopt evolving agent frameworks and patterns quickly and bring field learnings back to the practice.
- Lead and mentor: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability.
- Strong Python engineering: idiomatic, typed, tested and packaged code; on a foundation of solid software engineering principles (design, version control, architecture).
- Hands‑on agent building with at least one agent development kit (Google ADK, Lang Graph, CrewAI, OpenAI Agents SDK, AWS Bedrock Agent Core or Microsoft Agent Framework / Semantic Kernel)
- Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG / context graphs, tool / function calling, MCP, and multi-agent orchestration.
- Eval‑driven development: designing evaluation harnesses and measuring agent quality, safety and reliability.
- Standards- based integration and Dev Sec Ops : APIs, secure auth, CI/CD, observability and Agent Ops.
- Ability to conceptualize a business problem as an agent quickly, and operate effectively in ambiguous, customer-embedded settings.
- Client‑facing maturity: translates fluidly between technical and non-technical stakeholders, and owns outcomes.
- Experience mentoring or leading small engineering teams.
- Fluency across multiple ADKs and the judgment to pick the right one per engagement.
- Deploying agents to managed runtimes at enterprise scale (e.g. Vertex AI Agent Engine, Bedrock Agent Core) with governance and cost control.
- Domain depth in a transformation area - finance operations, supply chain, HR, claims or compliance.
- Experience with an enterprise agent platform, including Responsible AI and governance at scale.
- A track record of turning agents into reusable accelerators or IP adopted beyond a single engagement.
- Pay Range Minimum: $123,000 per year
- Pay Range Maximum: $213,000 per year
- A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & disability insurance; employee assistance program;
401(k) retirement plan; 10 days of paid time off…
Position Requirements
10+ Years
work experience
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