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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Principal Forward Deployed EngineerRemote role, open to U.S. based candidates.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Owns the technical outcome of a value-stream pod from problem shaping through production operation, including whether work contributes to shared capability or is incomplete.
- Partners directly with business transformation leadership, examiners, nurse reviewers, and operations — sitting with users, shaping ambiguous problems, and refusing work that would wire new capability onto a process known to be broken.
- Architects and personally builds production Generative AI agents, workflows, and applications, contributing code in Python and React rather than reviewing from a distance.
- Sets and enforces engineering standards for the pod: API-first and contract-first delivery, AWS and Terraform as the path to production, GitHub Actions as the CI/CD bar, evaluation and observability as release gates, and human confirmation on consequential claims actions.
- Accountable for whether the pod lands on shared substrate (context, documents, agents, assurance) or forks it; exercises stewardship and design-council authority to block duplicate builds.
- Defines interface terms with vendor delivery teams when the stream is co-developed: shared repositories in Sedgwick accounts, Sedgwick-owned contracts, shared definition of done.
- Establishes evaluation, provenance, and autonomy-ladder evidence for AI workflows — what may auto-complete, what must ask then do, and what is not ready — with the business owning thresholds.
- Leads technical solution design and architectural review for the stream; escalates conflicts with enterprise standards (identity, model egress, PHI, portability) rather than absorbing them quietly.
- Represents the pod on the AI Engineering design council; operates independently and is expected to converge with peer Principals without requiring SVP arbitration for ordinary technical disagreement.
- Provides technical guidance and mentoring to Senior and Junior AI Engineers; raises the pod’s bar on code quality, operational excellence, and forward-deployed practice.
- Leads complex troubleshooting, root cause analysis, and performance optimization for business-critical AI services and platforms.
- Evaluates and recommends whether a capability should be built in-house, co-developed with a vendor, or not built — with a named owner and a removal path when a compromise is accepted.
ADDITIONAL FUNCTIONS AND RESPONSIBILITIES·
- Performs other duties as assigned.
- Travel as required, including regular 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
Ten (10)+ or more years of software engineering experience, including at least four (4) years owning production Generative AI or applied-AI systems in the field — agents, workflows, or applications, including evaluation, failure handling, and a human review loop — or an equivalent combination of education and experience.Hands-on production experience on AWS, and hands-on Python, React, GitHub Actions, and Terraform, at a level sufficient to set the bar for a pod, not only meet it. Cloud certification or architecture-only experience without recent production code is not sufficient.Experience leading technical delivery for a value stream or equivalent without people-management authority.Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.
Skills & Knowledge
- Expert full-stack engineering skills in Python and React, with strong SQL, APIs, and service design; still writes production code
- Deep, hands-on AWS, Terraform, and GitHub Actions — including identity, networking, environments, and operational recovery — sufficient to set standards and review others’ work
- Production command of Generative AI agents, workflows, and applications, including tool use, orchestration, evaluation, provenance, and human-in-the-loop patterns
- Ability to walk into a design session with examiners or operations leaders and leave with a shaped problem, scoped build, and explicit non-goals
- Ability to keep a pod on shared substrate and to stop a duplicate build without escalating every conflict
- Ability to set interface terms with vendors and internal platform teams while remaining a peer IC, not a manager of either
- Strong mentoring, collaboration, and technical communication skills with the ability to influence transformation leadership, architecture, security, and engineering peers
- 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.Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related quantitative discipline
- 10 or more years of software engineering experience
- At least 4 years owning production Generative AI or applied-AI systems, including agents, workflows, evaluation, failure handling, and human review loops
- Hands-on production experience with AWS
- Hands-on production experience with Python, React, GitHub Actions, and Terraform
- Expert full-stack engineering skills, including SQL, APIs, and service design
- Experience leading technical delivery for a value stream or equivalent without people-management authority
- Experience with AI agent tool use, orchestration, evaluation, provenance, and human-in-the-loop patterns
- Strong mentoring, collaboration, and technical communication skills
- Master's degree
- Experience in insurance, claims, healthcare, or another heavily regulated operational domain
- Experience with machine learning, model fine-tuning, and/or graph databases such as Neo4j
- Experience with PydanticAI or an equivalent agent framework, agent observability, and AI Ops or LLMOps
Sedgwick Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sedgwick and has not been reviewed or approved by Sedgwick.
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Leave & Time Off Breadth — Generous paid time off and paid holidays are emphasized, with PTO accruals increasing with tenure. Paid parental leave and caregiver support further expand time-off coverage.
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Healthcare Strength — Medical, dental and vision coverage is complemented by telemedicine and a personal health concierge. Wellbeing supports such as diabetes and weight-management programs, fertility services, and robust mental-health access (coaching, therapy, psychiatry) broaden care.
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Parental & Family Support — Paid parental leave and caregiver support are offered alongside family-forming resources. Fertility services and adoption assistance reinforce family-oriented benefits.
Sedgwick Insights
What We Do
From our modest beginnings as a regional claims administrator, Sedgwick has grown into a leading global provider of technology-enabled risk, benefits and integrated business solutions with 31,000+ colleagues, located across 80 countries. Through innovative product development, organic business development and strategic acquisitions, Sedgwick’s offerings continue to evolve beyond claims processing to meet the current and future needs of our clients. Our approach to delivering quality service in areas such as workers’ compensation, liability, property, disability and absence management goes far beyond just managing claims—we aim to simplify the process and reduce complexity, making it easy and effective for everyone involve.
Why Work With Us
We stay tuned into what our colleagues want and need and deliver a world-class colleague experience that demonstrates how much we value their unique contributions to our business. You’ll see and feel what it’s like to work for a company that’s committed to doing the right thing – for those we serve, for our planet and for each other.
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