AI Engineer Lead

Overview At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. Our Investments Technology group supports an $80bn portfolio with a focus on excellence, innovation, and ethics. We are seeking an AI Developer who can move quickly from idea to working prototypes, validate value early, and guide PoCs into scalable, production-ready AI solutions. Responsibilities Collaborate with a diverse team of professionals and partner with product and platform leaders to build AI systems. Continuously expand your skill set by learning new technologies, tools, and methodologies. Identify opportunities for innovation with autonomy to rapidly explore, prototype, and validate new ideas. Design, develop, and deploy AI/ML solutions and lead the transition from proof of concept to production-ready implementations. Key Qualifications Minimum of 5 years of Python development. Minimum of 3 years of experience on AI projects with a focus on productizing AI/ML solutions. Strong understanding of machine learning fundamentals and ability to apply them to AI/ML solution development. Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, agentic frameworks). Data-driven decision making with robust analytical thinking and business judgment. Excellent communication with both technical and non-technical team members. Hands-on involvement in AI/ML experimentation and model development. Solid grasp of software development principles, including design patterns, testing, and version control (Git) (preferred). Inquisitive nature with understanding of both technical and business aspects (preferred). Technical Skills Needed 1) Programming & Engineering Excellence: Python (advanced), APIs, pipelines, AI orchestration. Java/ReactJS (optional). 2) LLM & GenAI Engineering: Hands-on experience with LLMs (preferably GPT models), prompting patterns, structured outputs, model evaluation (accuracy/faithfulness checks, hallucination mitigation, regression testing), safety/guardrails patterns for enterprise use. 3) Data Skills — SQL + SQL Server (Microsoft Fabric optional): query authoring, joins, indexing awareness, design of data access patterns for AI. 4) LLM & GenAI Engineering: Hands-on experience with LLMs (commercial), RAG architecture with ingestion pipelines, chunking strategies, vector database/search with metadata filtering, MCP patterns, MCP servers/tool endpoints integration, agentic workflows (multi-agent planner/executor/reviewer/retriever). 5) GitHub Copilot for rapid scaffolding of code, services, APIs (experience with code acceleration). 6) Cloud: MS Azure Fabric preferred. 7) Observability & Production Support: operating AI-enabled services in production with logging, metrics, tracing (APM tools such as Datadog), model/prompt monitoring and drift detection. Supervisory Responsibilities This job does not have supervisory duties. Education 4 year Bachelor’s Degree Compensation Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Additional Information Effective July 1, 2014, it is against public policy to discriminate against veterans in hiring. Allstate generally does not sponsor individuals for employment-based visas for this position. For Fair Chance Ordinances and EEO rights, please review the organization posters and policies as applicable. #J-18808-Ljbffr