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
- Transparent 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 SAP Finance

Years/Months

Exp SAP Tax Configuration:

Years/Months

Exp SAP S/4HANA Finance Architecture :

Years/Months

Exp VAT/GST & Global Tax Compliance :

Years/Months

Exp GL, AP, AR, Asset Accounting :

Years/Months

Exp Tax Determination & Withholding Tax :

Years/Months

Exp Stakeholder & Governance Management :

Years/Months

Exp Enterprise Architecture:

Years/Months

Exp Client-Facing Consulting:

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 : (Bangalore or ready to relocate to Bangalore )

Reason for leaving

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

Holding any offers /Any Pipeline :

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