Sr. Backend AI Developer

Sedgwick Claims Management Services Inc.; Texas; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Sedgwick is seeking a Sr. Backend AI Developer to design, implement, and scale backend services powering Generative AI and RAG solutions.

Work focuses on production‑ready APIs, secure deployments, and observability across AWS and Azure, collaborating with Gen AI Architects and data engineers.

The role supports enterprise integration across modern data platforms, ensuring reliable AI services and resilient backend architectures.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, or related quantitative field.
• Master’s degree preferred.
• 4–6 years backend/platform engineering, with 2+ years supporting AI-driven services.

Responsibilities

• Designs and implements backend services and APIs for Generative AI, including orchestration and inference management.
• Builds pipelines for RAG: document ingestion, embeddings, vector index management, retrieval, and response assembly.
• Supports agent-based AI systems: task orchestration, state management, tool execution, integration with enterprise systems.
• Develops scalable backend code in Python; uses SQL and PySpark; emphasizes security and performance.
• Integrates AI services with enterprise systems (SQL Server, on-prem, mainframe-adjacent).
• Implements authentication, authorization, logging, monitoring, and error handling for enterprise-grade reliability.
• Supports deployment and operation of AI workloads in AWS and Azure (containers, managed services).
• Collaborates with Gen AI Architects and data/infra teams to align with standards and business needs.
• Troubleshoots backend latency, throughput, and reliability issues.

Skills

Python

SQL

APIs

LLMs

RAG architectures

Agent-based systems

Data pipelines

Cloud (AWS/Azure)

Education

Bachelor’s degree in Computer Science|Data Science|AI

Master’s degree preferred

Tools

OpenSearch

Pinecone

Azure AI Search

AWS

Job description

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. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance.

Sr. Backend AI Developer

PRIMARY 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 simultaneous; 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.

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.

Sedgwick is the world’s leading risk and claims administration partner, which helps clients thrive by navigating the unexpected.

The company’s expertise, combined with the most advanced AI‑enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall.

With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape.

For more, see sedgwick.com