Principal Software Engineer (AI Focus)

Principal Software Engineer (AI) Company: Assurant Location: Atlanta, GA (On-site, Remote options available) Pay Range: $122,400.00 - $204,400.00 Job Type: Full-time, Pipeline Requisition (Ongoing Application) Job Summary: Assurant is seeking a Principal Software Engineer with an AI focus to lead the design, development, and delivery of complex AI systems in production. The successful candidate will own the full lifecycle of AI‑powered products, from architecture and model integration to evaluation and continuous improvement. This role involves serving as a technical leader to set standards for reliable, scalable, and responsible AI systems across the organization. Key Responsibilities AI System Architecture: Drive end‑to‑end delivery of production AI systems, including agentic workflows, Retrieval‑Augmented Generation (RAG), and model orchestration pipelines. Evaluation & Quality: Define and implement robust evaluation frameworks (offline evals, human‑in‑the‑loop, automated regression testing) to ensure system reliability. Best Practices: Establish standards for prompt engineering, model selection, fine‑tuning, and guardrails. Infrastructure: Design and operate production infrastructure for monitoring, observability, cost management, and failure recovery. Leadership: Provide technical leadership across teams, aligning AI engineering with product strategy; lead design reviews and post‑incident analyses. Innovation: Evaluate and introduce new AI technologies and frameworks to improve capability and developer velocity. Mentorship: Mentor senior engineers to raise organizational AI engineering maturity. Collaboration: Partner with Product, Design, Data Science, and Infrastructure leadership to shape the AI roadmap. Required Qualifications Experience: 10+ years of professional software engineering experience with significant recent focus on AI systems; at least 3 years at a Staff or Principal level. Track Record: Proven history of driving complex AI systems from concept to production at scale. Frameworks: Hands‑on experience with AI orchestration frameworks (e.g., Semantic Kernel, LangGraph, LangChain, or equivalent). Evaluation: Deep understanding of evaluation methodologies (offline benchmarks, online monitoring, A/B testing) and experience building eval pipelines. LLM Expertise: Strong expertise in LLM integration patterns including RAG, function calling, multi‑agent architectures, and prompt engineering. Programming: Proficiency in modern languages such as Java, Go, Python, TypeScript, or C#. Communication: Ability to communicate technical concepts to both technical and non‑technical audiences. Cultural Influence: Experience influencing engineering culture, standards, and best practices across an organization. Preferred Skills & Experience Experience in fast‑paced, high‑growth environments. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker). Background in CI/CD and reliability engineering tailored to AI workloads. Experience delivering AI‑first solutions using tools like Claude Code or Cursor. Experience with model lifecycle management (selection, fine‑tuning, versioning, deployment). Knowledge of vector databases, embedding models, and semantic search systems. Understanding of responsible AI practices (bias detection, safety testing, content filtering). Contributions to open‑source AI projects or published technical writing. #J-18808-Ljbffr ChatGPT Jobs