Forward Deployed Engineer
HCLTech
Noida, Uttar Pradesh, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- LLMsEmbedded systemsStakeholder managementREST APIsMicroservicesCI/CD
- Work
- On-site in Noida
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs29%Stakeholder management27%LLMs16%Embedded systems3%of 98 similar fresher jobs posted in India this week
- Listed
- 10 Nov 2026 · still open
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About the Role
HCLTech is looking for a senior Forward Deployed Engineer to work at the intersection of enterprise engineering, AI/GenAI, and client transformation. This is a hands-on, client-embedded leadership role for someone who can turn ambiguous business problems into production-ready solutions. You will own the journey from discovery and prototyping to enterprise integration, production hardening, and sustained delivery.
Key Responsibilities
- Work closely with client stakeholders to understand complex business challenges.
- Rapidly conceptualize and prototype practical solutions.
- Design, build, and deploy secure, scalable enterprise applications.
- Apply AI, GenAI, coding agents, and automation to improve delivery productivity.
- Build reliable solutions using LLMs, RAG, prompt engineering, and context engineering.
- Design standards-based integrations across APIs, microservices, and enterprise platforms.
- Establish reusable assets, engineering patterns, and delivery accelerators.
- Own DevOps, DevSecOps, CI/CD, infrastructure as code, and automated testing.
- Use telemetry, quality signals, and evaluation frameworks to continuously improve solutions.
- Lead and mentor a small engineering pod of 3–4 members.
- Engage with technical and business stakeholders and own measurable outcomes.
Requirements & Tech Stack
- Senior engineering or architecture experience in enterprise software delivery.
- Strong hands-on experience with full-stack development and modern application architecture.
- Expertise in Python, JavaScript/TypeScript, Java, or equivalent technologies.
- Experience with APIs, microservices, cloud-native architecture, and enterprise integrations.
- Practical knowledge of Generative AI, LLMs, AI agents, RAG, and prompt engineering.
- Experience using AI coding assistants such as Claude Code, GitHub Copilot, Codex, Cursor, or Kiro.
- Strong experience with AWS, Azure, or GCP, containers, Kubernetes, and CI/CD.
- Understanding of DevSecOps, secure SDLC, infrastructure as code, and automated testing.
- Ability to operate effectively in ambiguous, fast-moving customer environments.
Qualifications
- Strong client-facing communication, consulting, and problem-solving skills.
- Demonstrated experience leading teams, mentoring engineers, and driving delivery outcomes.