Senior AI Agent Engineer

HCLTech; New Jersey; Hybrid; USD 123,000 - 213,000; Full time

Job summary

HCLTech is seeking a Senior AI Agent Engineer to advance transformation efforts by building intelligent agents and scalable systems. This hybrid role in the New York/New Jersey area focuses on delivering business value through automated client workflows.

Ideal candidates excel in Python, agent platforms, and DevSecOps, with leadership experience guiding a small team and collaborating with stakeholders to achieve measurable ROI.

Qualifications

• Strong Python engineering principles: idiomatic, typed, tested and packaged code.
• Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore 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 DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps.
• Ability to conceptualize a business problem as an agent quickly, and operate effectively in ambiguous, customer-embedded settings.
• Client-facing maturity: translates between technical and non-technical stakeholders, and owns outcomes.
• Experience mentoring or leading small engineering teams.

Responsibilities

• Design and ship single-agent and multi-agent systems in Python using ADKs to automate client workflows with measurable ROI.
• Drive delivery efficiency and operational efficiency; shorten cycle times, reduce manual effort, raise accuracy, lower cost-to-serve.
• Apply prompt engineering, context engineering, prompt caching, RAG / context-graphs, memory, tool calling, MCP integration and multi-agent orchestration.
• Connect agents into client ecosystems via APIs and secure authentication.
• Build reusable agent components, skills, tool libraries and templates; add guardrails for safety and predictability.
• Prototype and harden to production-grade Python via the kit's scaffolding.
• Develop eval harnesses and test suites to measure agent quality, safety and regression.
• Own AgentOps / DevSecOps: CI/CD for agents, observability, telemetry, security baked in.
• Feed production telemetry and client feedback back into prompts and design.
• Stay ahead of evolving agent frameworks and patterns; share learnings.
• Lead and mentor a lean team of agent engineers.

Skills

Python

Agent development

Prompt engineering

DevSecOps

CI/CD

Stakeholder communication

Mentoring

Tools

Google ADK

LangGraph

CrewAI

OpenAI Agents SDK

AWS Bedrock AgentCore

Semantic Kernel

Job description

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 ID: 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 AgentOps / DevSecOps: 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.

Required

• 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, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore 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 DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps.
• 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.

Preferred

• 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 AgentCore) 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 and Benefits

• 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 per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.