Forward Deployed Engineer

We are looking for a Forward Deployed Engineer (FDE) who partners directly with UHG business teams to identify high-value problems and deliver AI-led automation and innovation under centralized council oversight.

An FDE in UHG is an empowered AI builder embedded within business units to understand real-world context build practical solutions and drive measurable AI driven outcomes.

The role blends hands-on engineering solution architecture product thinking consulting and customer-facing execution.

• Embed with business and engineering teams to own AI outcomes within a defined business domain.
• Build and deliver AI solutions hands-on; this is an execution role not an advisory role.
• Convert AI potential into production value through code-first delivery and active repository contributions.

• Understand business processes pain points systems data flows and success metrics.
• Translate problems into MVPs integrations automations and production-ready solutions with an ownership mindset
• Build across APIs databases cloud platforms workflow tools enterprise systems and AI/GenAI technologies.

• Own the journey from discovery to working solution rapidly proving business value through pilots and POCs

• Integrate with enterprise platforms data systems workflows collaboration tools and third-party APIs.
• Document architectures implementation playbooks reusable components and customer-specific solution guides.
• Feed field learnings into product roadmap accelerators and go-to-market propositions.

• 3 8 years of experience in engineering implementation product consulting or customer-facing technology roles.
• Strong engineering fundamentals with hands-on coding experience in Python JavaScript/TypeScript /C# or Go.
• AI proficiency is mandatory; candidates may come from software engineering data science UX or related domains.

• Daily AI tool usage demonstrable code contributions and documented token usage.
• Strong understanding of APIs databases cloud services authentication integrations and deployment.
• Comfortable with structured and unstructured data.
• Experience with GenAI LLMs RAG agents AI workflow automation prompt engineering or model integration.
• Cloud experience across AWS Azure or Google Cloud.
• Good communication adaptability and problem-solving in ambiguous environments.

• Knowledge of ML algorithms model building deployment deep learning and NLP.
• Experience integrating with Salesforce Jira Rally Oracle ServiceNow Microsoft Dynamics or similar platforms.
• Familiarity with data engineering ETL/ELT pipelines BI dashboards analytics and reporting workflows.
• Healthcare exposure especially contact centers claims automation finance or technology services.