AI/ML integration Engineer :: Alpharetta, GA (Hybrid Role)

Architect & Lead Integration Work

• Design and oversee scalable, secure, and reliable carrier API integrations (REST, SOAP, EDI, ACORD, proprietary carrier systems).
• Define patterns, frameworks, and reusable services to accelerate onboarding of new carriers and lines of business.

AI & Automation Strategy

• Develop AI/ML pipelines to extract, normalize, and map submission and policy data (ACORD forms, loss runs, SOVs, proposals).
• Collaborate with Data Science/AI teams to embed LLMs and vector search into underwriting workflows.
• Evaluate emerging AI models and frameworks to ensure practical, cost-efficient adoption.

Technical Leadership & Mentorship

• Serve as a hands-on technical leader, writing high-quality code and setting engineering best practices.
• Mentor senior engineers on AI, system integration, and distributed architectures.
• Partner with Product, Carrier Relations, and Operations to align integration roadmaps with business goals.

Platform & Infrastructure Ownership

• Drive performance, scalability, and reliability improvements across the integration and AI pipelines.
• Collaborate with DevOps on AWS-based infrastructure (EC2, Lambda, S3, Bedrock, Step Functions, API Gateway).
• Ensure compliance with data security, SOC2, and industry standards.

Qualifications

• Experience: 10+ years in software engineering, with 5+ years in a senior/principal role.
• Domain Knowledge: Strong background in insurance carrier integrations, ACORD standards, or related InsurTech systems.

Technical Expertise

• Proficiency in Node.js/TypeScript (Python experience a plus).
• Strong knowledge of REST/SOAP APIs, event-driven systems, and microservices.
• Familiarity with AI/ML pipelines, LLMs, and vector databases (e.g., MongoDB Atlas Vector Search, Pinecone, Redis).
• Solid understanding of cloud infrastructure (AWS preferred).