Exciting job at HCL-Forward Deployed Engineer (FDE)

HCL Technologies Limited; Hyderabad, Chennai, Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

HCL Technologies Limited is seeking an experienced Forward Deployed Engineer to lead hands-on AI-powered solution delivery in client environments. You will build, integrate, and deploy models, APIs, and data pipelines, collaborating with senior engineers and consulting leads to ensure scalable, production-ready systems.

The role emphasizes engineering execution, client engagement, and translating requirements into actionable development tasks while partnering with cross-functional teams on

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of proficiency in at least one programming language (e.g., Python, Python APIs, Java, SQL).
• 4+ years in consulting or advisory capacity delivering client or business objectives.
• Experience working in client-facing engagements with stakeholders.
• Experience with APIs, data pipelines, or distributed systems.
• Familiarity with cloud platforms (AWS/Azure/GCP).
• Exposure to AI/ML concepts, including LLMs and prompt engineering.
• Demonstrate advanced user capability on CodeX, Claude, and other AI productivity tools.
• Ability to work effectively in client-facing delivery environments.
• Solid collaboration and communication within structured project teams.

Responsibilities

• Build and deploy AI-powered solutions, including LLM-based workflows and automation tools in client environments.
• Implement integrations between AI models, APIs, and enterprise healthcare systems.
• Translate defined solution designs into production-ready code; support development, testing and deployment.
• Work with distributed systems and cloud platforms for scalable, reliable deployments.
• Support technical discussions and working sessions with client stakeholders; help execute project plans.

Skills

Python

Java

SQL

APIs

Cloud platforms

LLMs / AI

Communication

Client-facing

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree in AI/ML/Data Science

Tools

AWS

Azure

GCP

CodeX/Claude / AI tools

Job description

Dear Candidate ,

Greeting from HCL Tech!!!!!!!

We have come across your profile in Portal. Please Ignore if you already shared or submitted Details or Applied. As its a default retrigger.

We are hiring on below EDI Leadership- Chennai/Noida. Please find the JD Details below - Please share us your details below in Table with your update resume.

The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partners with senior engineers, and consulting leads to implement scalable, production-ready systems for HCLTech Enterprise customers.

FDEs contribute directly to solution delivery-translating defined requirements into working systems, building integrations, and supporting deployments. While primarily focused on engineering execution, the role also operates in client settings, requiring strong collaboration and the ability to support technical discussions with both engineering and business stakeholders.

Primary Responsibilities:

• Solution Implementation & Delivery
  • Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
  • Implement integrations between AI models, APIs, and enterprise healthcare systems
  • Translate defined solution designs into high-quality, production-ready code
  • Contribute to end-to-end delivery by supporting development, testing, and deployment activities
• Hands-on Engineering
  • Develop solution components using modern programming languages (e.g., Python, Python API, Java, SQL) and engineering frameworks
  • Work with distributed systems and cloud platforms to support scalable, reliable deployments
  • Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
  • Troubleshoot and resolve technical issues during development and deployment
• Client Delivery Support
  • Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations
  • Support technical discussions and working sessions with client stakeholders
  • Help execute on defined project plans, timelines, and deliverables
  • Contribute to iterative development cycles, incorporating client and team feedback
• Collaboration & Translation
  • Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
  • Translate technical requirements into actionable development tasks
  • Communicate progress, risks, and technical considerations clearly within the team
  • Support alignment between technical implementation and client expectations
  • Documentation & Knowledge Transfer
  • Document solution components, integration points, and deployment processes
  • Support knowledge transfer to client technical teams to enable adoption and sustainability
  • Contribute to reusable implementation patterns, assets, and playbooks
• Success Measures
  • Delivers high-quality solution components that meet performance, reliability, and security expectations
  • Contributes effectively to end-to-end client delivery efforts
  • Demonstrates strong execution in translating requirements into working systems
  • Communicates clearly within teams and supports client delivery activities
  • Builds capability in both technical implementation and client engagement over time
  • Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 5+ years of proficient experience in at least one programming language (e.g., Python, Python APIs, Java, SQL)
• 4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Ability to work effectively in client-facing delivery environments
• Solid collaboration skills and ability to operate within structured project teams
• Clear communication skills for working with both technical and non-technical stakeholders
• Ability to execute against defined requirements and evolving priorities

Preferred Qualifications:

• Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
• Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
• Familiarity with healthcare data considerations (e.g., privacy, compliance) is a plus
• Solid execution focus with attention to detail and code quality
• Ability to work in fast-paced environments with multiple priorities
• Willingness to take ownership of assigned components and deliver reliably
• Continuous learning mindset, particularly in AI and emerging technologies

Please fill the details in below table

Full Name (As per Passport/10th Class )

Highest Qualification(Distance/Regular)

Total Exp

Years

Relevant Exp

Years

Exp Forward Deployed Engineer (FDE):

Years/Months

Exp Python :

Years/Months

Exp APIs :

Years/Months

Exp Generative AI:

Years/Months

Exp Production Deployment :

Years/Months

Exp Production Deployment :

Years/Months

Exp Enterprise Integration:

Years/Months

Exp Client-Facing Consulting:

Years/Months

Exp Program & Stakeholder Leadership:

Years/Months

Please share DOB- (DD/MM/YY)

(DD/MM/YY)

Mobile Number –

Alternate Mobile Number –

Mail ID

Alternate Mail ID

CTC

ECTC (Please share expectation in number not in % or as per standards)

Notice Period(Buyout options/on Bench/Currently serving(Please specify lwd)

Current Company

Current Location

Have you attend Interview at HCL-

Have you worked for HCL if Yes(Please share EX- HCL EMPID- Duration )

Preferred Location :

Reason for leaving

Would be able to attend In - In Person (Face- Face) :

Holding any offers /Any Pipeline :