1 day ago
Remote, United StatesStaff+
Responsibilities
- Own the technical outcome of a value-stream pod from problem shaping through production operation.
- Partner directly with transformation leadership, examiners, nurse reviewers, operations teams, and vendors to shape problems and define scoped solutions.
- Architect and personally build production Generative AI agents, workflows, and applications using Python and React.
- Set engineering standards for API-first and contract-first delivery, AWS, Terraform, GitHub Actions, evaluation, observability, and human confirmation on consequential claims actions.
- Establish evaluation, provenance, and autonomy-ladder evidence for AI workflows, including human-in-the-loop requirements.
- Lead technical solution design, architectural reviews, complex troubleshooting, root cause analysis, and performance optimization.
- Represent the pod on the AI Engineering design council and exercise stewardship over shared technical substrates.
- Define interface terms, repositories, contracts, and completion criteria with vendor delivery teams.
- Provide technical guidance and mentoring to Senior and Junior AI Engineers without people-management authority.
- Evaluate whether capabilities should be built internally, co-developed with vendors, or not built, including ownership and removal paths.
- Travel as required, including regular on-site work with claims or Managed Care operations and vendor delivery teams.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative discipline is required; a master's degree is preferred.
- 10 or more years of software engineering experience, including at least four years owning production Generative AI or applied-AI systems in the field, or an equivalent combination of education and experience.
- Hands-on production experience with AWS, Python, React, GitHub Actions, and Terraform.
- Expert full-stack engineering skills with strong SQL, APIs, and service design experience, including continued production coding.
- Production experience with Generative AI agents, workflows, and applications, including tool use, orchestration, evaluation, provenance, and human-in-the-loop patterns.
- Experience leading technical delivery for a value stream or equivalent without people-management authority.
- Experience with identity, networking, environments, operational recovery, and cloud infrastructure standards.
- Ability to shape ambiguous operational problems, define explicit non-goals, maintain shared substrates, and stop duplicate builds.
- Strong mentoring, collaboration, and technical communication skills with transformation leadership, architecture, security, engineering peers, vendors, and operations leaders.
- Experience in insurance, claims, healthcare, or another heavily regulated operational domain is preferred.
- Experience with machine learning, model fine-tuning, graph databases such as Neo4j, PydanticAI or an equivalent agent framework, agent observability, and AI Ops or LLMOps is preferred or a plus.
- Ability to meet or exceed stated performance competencies and handle complex troubleshooting, judgment, multiple priorities, and deadlines.
Benefits
- Remote role open to U.S.-based candidates.
- Regular on-site work and travel are required as needed with claims or Managed Care operations and vendor delivery teams.
- Reasonable accommodation will be considered when applicable and appropriate.
- Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
About Sedgwick
Sedgwick provides third‑party claims administration, risk and benefits services for employers, insurers, and public entities, spanning workers’ compensation, property and liability, disability and absence, and product recall. It sells outsourced claims management and related technology on a fee‑for‑service basis, supported by analytics and AI‑enabled tools, across operations in more than 80 countries. Founded in 1969 and headquartered in Memphis, Tennessee, Sedgwick is privately held under The Carlyle Group.