Forward deployed Engineer

HCLTech; Town of Texas (WI); On-site; USD 123,000 - 213,000; Full time

Benefits offered by this job

Health benefits

401(k) retirement plan

10 days paid time off

10 paid holidays

Job summary

HCLTech is seeking a Forward Deployed Engineer to deliver AI-powered solutions within client environments. You will work with senior engineers and consulting leads to implement scalable, production-ready systems for HCLTech Enterprise customers.

Responsibilities include solution delivery, API and model integration, data pipelines, and hands-on engineering using Python/Java/SQL, with cloud platforms for scalable deployments. Strong client-facing collaboration is required.

Qualifications

• 15+ years of client-facing experience in AI implementation or cloud solutions.
• 5+ years programming experience in at least one language (Python/Java/SQL).
• 4+ years in a consulting/advisory role with client delivery.
• 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.

Responsibilities

• Lead solution delivery and build AI-powered solutions in client environments.
• Develop and integrate AI models, APIs, and enterprise systems.
• Support end-to-end deployment, testing, and operational handoffs.
• Collaborate with stakeholders across engineering, platform, and product teams.
• Engage with clients to understand needs and communicate technical solutions.
• Mentor junior engineers and contribute to reusable patterns and playbooks.

Skills

Python

Java

SQL

Client-facing communication

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Master's degree in AI/ML or related field

Tools

AWS/Azure/GCP

LLM tooling (CodeX, Claude)

Job description

HCLTech is looking for a highly talented and self- motivated Forward deployed Engineer to join it in advancing the technological world through innovation and creativity.

Job Title: Forward Deployed Engineer.

Job ID: 137552

Position Type: Full-time

Role/Responsibilities

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
• 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
• Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
• 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
• Total 15+ year of Experience in Client Facing - AI Implementation Cloud platforms Application interfaces as Solution Architect.
• 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

Pay and Benefits:

Pay Range Minimum: $123,000 per year

Pay Range Maximum: $213,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, 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.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.