Senior Forward Deployed Engineer

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
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Senior Forward Deployed Engineer
Remote role, open to U.S. based candidates.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
Owns a build stream end to end within a pod: problem shaping with the Principal, implementation, production operation, and instrumentation of the outcome the business said it would measure.
Designs, builds, and operates production Generative AI agents, workflows, and applications — including request orchestration, tool execution, state management, and interaction with enterprise systems.
Develops full-stack software in Python and React, shipping both the service and the interface a business user touches.
Owns deployment and operation on AWS, with infrastructure as code in Terraform and CI/CD in GitHub Actions, including environments, secrets, and repeatable promotion to production.
Implements evaluation, observability, and human-in-the-loop controls for AI systems: provenance on material outputs, confirmation on consequential claims actions, and evidence that a workflow is ready to move up the autonomy ladder.
Implements authentication, authorization, logging, monitoring, and error handling to meet enterprise security, auditability, PHI, and reliability requirements.
Integrates AI services with enterprise and legacy systems — including APIs, data platforms, and event streams — using approved, non-invasive patterns and versioned contracts.
Stewards a shared capability as assigned (context, documents, agents, or assurance), with authority to block a duplicate build in another pod.
Embeds with vendor delivery teams for co-development when the stream requires it: shared repositories in Sedgwick accounts, shared definition of done, not acceptance testing after a demo.
Sits with examiners, nurse reviewers, or operations staff; watches the work; and turns that into scoped services, workflows, and UI changes.
Provides technical guidance and mentoring to Junior AI Engineers, promoting engineering standards, code quality, and operational excellence.
Troubleshoots and leads root cause analysis and performance optimization for latency, throughput, cost, correctness, and reliability of production AI services.
Evaluates and recommends improvements to architecture, platform capabilities, and engineering process for the stream and the shared substrate.
ADDITIONAL FUNCTIONS AND RESPONSIBILITIES
Performs other duties as assigned.
Travel as required, including on-site work with claims or Managed Care operations and with vendor delivery teams.
QUALIFICATIONS
Education & Licensing
Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required.
Master’s degree preferred.
Experience
Six (6) + years of software engineering experience, with at least three (3) years shipping production Generative AI agents, workflows, or applications — including evaluation, failure handling, and a human review loop — or an equivalent combination of education and experience.
Hands-on experience building and operating production workloads on AWS required. Cloud certification without production ownership is not sufficient.
Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates.
Experience embedding with business users or a vendor delivery team to co-develop, rather than receiving a completed specification, preferred.
Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.
Skills & Knowledge
Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment
Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery
Production command of Generative AI agents, workflows, and applications — tool use, orchestration, evaluation, and human-in-the-loop patterns — sufficient to ship and run, not only prototype
Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements
Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room
Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required
Strong mentoring, collaboration, and technical communication skills
Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred
Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus
Ability to meet or exceed Performance Competencies
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodation.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.