Enterprise Architect

Job Summary

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

• 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.
• A genuine appetite to deepen AI/GenAI skills fast.

Skill Requirements

• • Strong Software Engineering fundamentals including:

    • System design and architecture
    • Clean coding practices
    • Version control (Git)
    • Unit and integration testing
    • Full-stack application development

  • Experience with:

    • Integration patterns and standards-based integrations
    • DevOps / DevSecOps practices
    • Test automation frameworks
    • CI/CD pipelines

  AI / GenAI Skills

  • Solid understanding of:

    • AI and Generative AI concepts
    • AI coding assistants (Copilot, Claude Code, Cursor, etc.)
    • Prompt Engineering
    • Agentic AI
    • Retrieval-Augmented Generation (RAG)
    • Context Graphs
    • Context Engineering

  • Preferred advanced expertise in:

    • Building custom AI agents and reusable AI skills
    • Prompt caching and optimization
    • Cost and latency optimization for AI solutions
    • Multi-LLM architectures
    • Responsible AI and AI governance

  Problem Solving & Solution Design

  • Ability to rapidly analyze business challenges and design practical technical solutions.
  • Comfortable working in ambiguous and fast-changing customer environments.
  • Strong solution conceptualization and innovation mindset.

  Client & Communication Skills

  • Excellent stakeholder management.
  • Ability to communicate effectively with both technical and business audiences.
  • Strong customer-facing and consulting skills.
  • Ownership-driven approach with accountability for outcomes.

  Leadership & Collaboration

  • Experience mentoring developers or leading small teams.
  • Strong collaboration and knowledge-sharing capabilities.
  • Ability to create reusable accelerators and frameworks that can be adopted across multiple engagements.

  Preferred Tools & Platforms

  Experience with AI development platforms such as:

  • GitHub Copilot / GHCP
  • Claude Code
  • Kiro
  • Cursor
  • Other agentic AI and multi-LLM platforms

Other Requirements