Enterprise Architect

HCL Technologies Limited; Holmdel Township (NJ); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Employee assistance program

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech is seeking a Forward Deployed Engineer in the United States (New Jersey) to work embedded with clients, turning business problems into working software rapidly. You will own outcomes end-to-end, prototype quickly, and lead a small team to ship and sustain solutions using AI/GenAI, with security and Responsible AI at the core.

You will champion standards-based integrations, automation, and reusable assets, delivering measurable efficiency and ROI for client engagements in a fast-paced

Qualifications

• Strong software engineering fundamentals with full-stack delivery.
• Proven experience in standards-based integrations, DevOps/DevSecOps and test automation.
• Conceptual fluency in AI/GenAI and using AI coding assistants.
• Ability to conceptualize solutions quickly in ambiguous, customer-embedded settings.
• Client-facing maturity translating tech to non-technical stakeholders.
• Experience mentoring or leading small teams.

Responsibilities

• Conceptualize fast by embedding with stakeholders and prototyping quickly.
• Own efficiency by driving measurable delivery and operational improvements.
• Engineer with AI leverage across the SDLC to boost productivity and quality.
• Apply agents and automation to automate delivery workflows and reusable patterns.
• Ensure reliable AI output through prompt engineering and context practices.
• Integrate to standards with secure, pattern-based integrations into client ecosystems.
• Promote reusability and repeatability by building assets and templates for the pod.
• Prototype and iterate quickly with fast, testable experiments over big upfront design.
• Own DevOps and DevSecOps: CI/CD, shift-left security, infrastructure-as-code, testing.
• Run a continuous feedback loop with telemetry and client input to iterate the solution and AI behind it.
• Stay ahead by adopting emerging AI concepts and bringing field learnings back to practice.
• Lead and mentor a lean team of 3–4 and raise the engineering bar.

Skills

Software Engineering

Integrations

DevOps/DevSecOps

AI/GenAI

Solution Conceptualization

Client-facing

Team Leadership

Job description

As a Forward Deployed Engineer, you operate at the front line of delivery ; embedded with the client, turning ambiguous business problems into working software, fast. You own the outcome end to end: conceptualize the solution, prototype it, integrate it into the client’s real environment, harden it, and lead a small team to ship and sustain it. You are part builder, part consultant, and an engineer who uses AI/GenAI as a force multiplier for delivery and operational efficiency. You bring HCLTech's AI/GenAI capabilities to life inside the client’s world, with Responsible AI and security as non-negotiables.

Key Responsibilities

• Conceptualize fast: embed with stakeholders, rapidly frame a solution to a business problem, and stand up a working prototype in days, not weeks.
• Own efficiency as the scorecard: drive measurable delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, lower defect leakage, clear ROI.
• Engineer with AI leverage: use AI coding assistants / toolset across the SDLC to lift your own and the pod's productivity and quality.
• Apply agents and automation: work with coding agents, custom agents and reusable skills to automate delivery and operations workflows; build them where the problem warrants it.
• Get reliable AI output: apply prompt engineering and sound context practices (context engineering, prompt caching, RAG / context-graph patterns) so AI output is accurate, cost-aware and production-grade.
• Integrate to standards: design standards-based integrations using proven integration patterns that plug into client ecosystems predictably and securely.
• Make reusability and predictability the default: build assets, templates and patterns the pod and account can re-apply, so outcomes are consistent and repeatable.
• Prototype and iterate quickly: favor fast, testable prototypes over big up-front design; learn from each loop.
• Own DevOps and DevSecOps: CI/CD, shift-left security, infrastructure-as-code, and automated testing built in from day one.
• Run a continuous, adaptable feedback loop: use telemetry, quality signals, evals and client feedback to iterate both the solution and the AI behind it.
• Stay ahead of the curve: adopt emerging AI and engineering concepts quickly, and bring field learnings back to the practice.
• Lead and mentor: set technical direction for a lean team of 3 or 4, raise the engineering bar, and grow the pod's overall capability and AI fluency.

Skill Requirements

• Strong software engineering fundamentals - design, clean code, version control, testing, sound architecture; with hands-on full-stack delivery.
• Proven experience with standards-based integrations, integration patterns, DevOps/DevSecOps and test automation.
• Conceptual fluency in AI/GenAI and a working habit of using AI coding assistants for productivity; understands what agents, prompting, RAG and context graphs are and where they add value.
• Ability to conceptualize solutions to business problems 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 teams.

What great looks like (strongly preferred)

• Hands-on experience building custom agents and reusable skills, not just consuming AI tools.
• Practical command of prompt engineering, context engineering, prompt caching and RAG / context-graph design, including cost and latency optimization.
• Experience designing agentic / GenAI solutions on platforms such as GHCP, Claude Code, Kiro, Cursor or comparable (multi-LLM, Responsible AI, governance-aware).
• A track record of turning field patterns into reusable accelerators adopted beyond a single engagement.

At HCLTech, you’ll supercharge your potential. You’ll find your career. And you’ll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Compensation and Benefits

A candidate's pay within the range will depend on their 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 & dismemberment, and 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.