Forward Deployed Engineer

Optum, a UnitedHealth Group Company; Makati; Hybrid; PHP 900,000 - 1,800,000; Full time

Benefits offered by this job

Market pay

Hybrid work set-up

Retirement plan

Medical plan (HMO) from Day 1

Dental, medical, optical reimburse

Life and disability insurance

Paid time-off benefits

Sick leave conversion

Tuition reimbursement

Employee assistance program

Job summary

Optum is seeking a Forward Deployed Engineer to build and deploy AI-powered solutions within client environments. You will translate requirements into production-ready code, develop components using Python/Java/SQL, and collaborate with senior engineers and consulting leads to ensure end-to-end delivery in healthcare payer and provider contexts.

You will work across solution delivery, hands-on engineering, client engagement, and knowledge transfer, with a focus on scalable and auditable

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems and delivering against client objectives
• Demonstrated experience working in client-facing engagements and communicating solutions to stakeholders
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Ability to work effectively in client-facing delivery environments
• Strong collaboration and communication skills
• Ability to execute against defined requirements and evolving priorities

Responsibilities

• Translate defined requirements into working systems and code
• Build and deploy AI-powered solutions, including LLM workflows and automation tools
• Develop solution components using languages like Python, Java, SQL
• Work with distributed systems and cloud platforms for scalable deployments
• Assist with data preparation, prompt configuration, and model integration
• Troubleshoot and resolve technical issues during development and deployment
• Collaborate with senior engineers and consulting leads in client engagements
• Support technical discussions with client stakeholders
• Help execute project plans, timelines, and deliverables
• Contribute to iterative development with client and team feedback
• Partner with cross-functional teams to deliver integrated solutions
• Translate technical requirements into actionable development tasks
• Communicate progress and risks clearly within the team
• Support alignment between implementation and client expectations
• Document solution components and deployment processes
• Share knowledge with client teams for adoption and sustainability
• Contribute to reusable implementation assets and playbooks

Skills

Python

Java

SQL

APIs

Cloud platforms

LLMs / prompt engineering

Client-facing communication

Education

Bachelor’s degree in CS/Engineering/Data Science

Master’s degree in AI/ML/DS

Tools

CodeX

Claude

AI productivity tools

Job description

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 healthcare payers and providers.

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, 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 activitiesBuilds 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
• 3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 2+ 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
• Strong 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

What We Offer:

• Market Competitive Pay Levels
• Hybrid Work Set-up
• Retirement Plan
• Medical Plan (HMO) from Day 1 of employment
• Dental, Medical, and Optical Reimbursements
• Life and Disability Insurance
• Paid Time-Off Benefits
• Sick Leave Conversion
• Tuition Reimbursement
• Employee Assistance Program (EAP)
• Annual Performance Based Merit Increases
• Employee Recognition
• Training and Staff Development
• Employee Referral Program
• Employee Volunteerism Opportunity
• All Mandatory Statutory Benefits

Who We Are:

• Optumis the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare.
• UnitedHealth Groupis a health care and well-being company with a mission to help people live healthier lives and help make the health system work better for everyone.
• We’re a leading health solution and care delivery organization. Our work is complex, but our mission is simple: create a healthier world, with you at the center.
• As part of a Fortune 5 enterprise, we are improving the health care experience of over 125 million people around the world.
• Elevate your career with a leading health care company while improving lives.

Join us in evolving health care so everyone can have the opportunity to live their healthiest life. This is your opportunity to be part of a team that’s dedicated to Caring. Connecting. Growing together.