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Sr. Backend AI DeveloperPRIMARY PURPOSE: The Backend AI Developer within the Transformation Office is responsible for building, operating, and scaling the backend systems that power enterprise AI capabilities. This role focuses on implementing reliable, secure, and performant AI services that enable Generative AI, Retrieval‑Augmented Generation (RAG), and agent‑based solutions to integrate with business applications and data platforms.
Operating at the intersection of backend engineering and applied AI, the Backend AI Developer translates approved AI architectures into robust APIs, pipelines, and services, ensuring that AI solutions are production ready, observable, and aligned with enterprise infrastructure standards across AWS and Azure environments.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Designs and implements backend services and APIs that support Generative AI and LLM‑powered applications, including request orchestration, prompt execution, and inference management.
- Builds and maintains backend components for Retrieval‑Augmented Generation (RAG) solutions, including document ingestion pipelines, embedding services, vector index management, retrieval logic, and response assembly.
- Implements backend support for agent‑based AI systems, enabling task orchestration, state management, tool execution, and interaction with enterprise systems using platforms such as AWS AgentCore and Azure AI Agent Service.
- Develops scalable, maintainable backend code primarily in Python, with supporting use of SQL and PySpark, following secure coding and performance best practices.
- Integrates AI services with enterprise and legacy systems—including SQL Server, on‑prem databases, and mainframe‑adjacent platforms—using approved, non‑invasive integration patterns.
- Implements authentication, authorization, logging, monitoring, and error‑handling mechanisms to ensure AI services meet enterprise security, auditability, and reliability requirements.
- Supports deployment, configuration, and operation of AI backend workloads in AWS and Azure, including containerized and managed service‑based deployments.
- Collaborates closely with Gen AI Architects, Applied AI Developers, data engineers, and infrastructure teams to ensure backend implementations align with architectural standards and business needs.
- Troubleshoots and resolves backend performance issues related to latency, throughput, cost, and reliability of AI services.
QUALIFICATIONS
Education & Licensing
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline from an accredited college or university required.
Master’s degree preferred
Experience
Four (4) to six (6) years of experience in backend or platform engineering, with at least two (2) years supporting AI‑driven or data‑intensive services in a production or enterprise environment, or an equivalent combination of education and experience.
Hands‑on experience developing backend services on AWS and/or Azure, including deployment and operations of cloud‑based applications.
Practical experience supporting LLM‑based systems, vector search services (e.g., OpenSearch, Pinecone, Azure AI Search), or event‑driven architectures.
Skills & Knowledge
- Strong backend development skills in Python, with solid working knowledge of SQL, APIs (REST/gRPC), and backend service design
- Working understanding of LLMs, embeddings, RAG architectures, and agent‑based systems sufficient to build and operate backend support services
- Experience with data pipelines, asynchronous processing, and integration with enterprise data platforms
- Knowledge of cloud infrastructure concepts, security patterns, and operational best practices
- Ability to implement backend services in alignment with enterprise architecture, governance, and compliance requirements
- Ability to work collaboratively in a fast‑paced Transformation Office or innovation‑driven environment
- 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
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
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, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline
- Four to six years of experience in backend or platform engineering, or equivalent education and experience
- At least two years supporting AI-driven or data-intensive services in a production or enterprise environment
- Hands-on experience developing backend services on AWS and/or Azure, including cloud application deployment and operations
- Practical experience supporting LLM-based systems, vector search services, or event-driven architectures
- Strong backend development skills in Python and working knowledge of SQL, REST/gRPC APIs, and backend service design
- Working knowledge of LLMs, embeddings, RAG architectures, and agent-based systems
- Experience with data pipelines, asynchronous processing, and enterprise data-platform integration
- Knowledge of cloud infrastructure, security patterns, and operational best practices
- Master’s degree
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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