AI Engineer Lead

Job Description

At Allstate Investments, we are seeking an AI Developer who is a fast learner and rapid problem solver, capable of quickly understanding new domains, technologies, and business problems, and translating them into high impact proof-of-concept (PoC) solutions.

This role requires the ability to move quickly from idea to working prototypes, validate value early, and then guide successful PoCs into scalable, production-ready AI solutions. As a member of the Investments Technology group, your work directly supports an $80bn portfolio and an organization of 300+ experts committed to excellence, innovation, and the highest ethical standards.

You will be a hands-on developer – pairing daily with other engineers and guiding adoption of LLMs, RAG, vector stores, and agentic frameworks.

You will Collaborate with a highly talented and diverse team of professionals Continuously expand your skill set by learning new technologies, tools, and methodologies. Proactively identify opportunities for innovation, with the autonomy to rapidly explore, prototype, and validate new ideas. Play a key role in the design, development, and deployment of AI/ML solutions. Lead the transition of AI/ML initiatives from proof of concept to scalable, production-ready solutions. Key

Responsibilities

• Establish and socialize s trong   AI   engineering fundamentals, design patterns , code   quality standards . Participate in projects,   demonstrating   technical   expertise   and a hands-on approach in experimentation and productization.
• Partner with product stakeholders to   iterate quickly   on   PoCs , incorporating feedback and refining solutions in short cycles. Qualifications
• Minimum of 5 years of python development
• Minimum of   3   years of experience working on AI projects, with a focus on productizing AI/ML solutions. D eep understanding of machine   leaning   fundamentals   and ability to apply them in developing and implementing AI/ML solutions.
• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores , Agentic   frameworks). Data-driven decision mak ing , combining robust analytical thinking with sound business   judgment. Excellent communicat ion   with both technical and non-technical team members . Comfort with hands-on involvement in AI/ML experimentation and model development . Solid grasp of software development principles, including design patterns, testing, and version control such as Git.   (preferred) Inquisitive nature, with a deep understanding of both technical and business aspects .   ( preferred )

T echnical Skills Needed

1) Programming & Engineering Excellence Python (advanced), APIs, pipelines, and AI orchestration Java/ReactJ S   (optional) 2)   LLM & GenAI Engineering Hands-on experience with LLMs   ( preferably GPT models ) Prompting patterns and structured outputs Model evaluation   including a ccuracy/faithfulness checks, hallucination mitigation, regression testing Safety/guardrails patterns appropriate for enterprise use 3)   Demonstrated ability to   leverage

GitHub Copilot for code acceleration

• Rapid scaffolding of   code,   services,   APIs , and   development 3) Data Skills — SQL + SQL Server , Microsoft Fabric(optional) SQL skills Query authoring, joins ,   indexing awareness Ability to design data access   patterns   for AI 4) LLM & GenAI Engineering
• Hands-on experience with LLMs (commercial) Prompting patterns and structured outputs
• Strong experience implementing RAG architecture   with i ngestion pipelines, chunking strategies Vector database / vector search experience   with   Indexing, similarity search, metadata filtering
• Experience with MCP patterns ,   Standardizing tool/context access for models and agent runtimes Designing MCP servers/tool endpoints and integrating them into LLM apps
• Experience implementing agentic workflows, A2A patterns   such as   multi-agent   collaboration (planner/executor/reviewer/retriever roles) 8) Cloud MS   Azure   Fabric   preferred 9) Observability & Production
• Experience   operating   and supporting

AI-enabled services in production

Logging, metrics, tracing (APM tools such as Datadog) Model/prompt monitoring, drift signals, quality regression detection Supervisory Responsibilities This job does not have supervisory duties. Education 4 year Bachelors Degree #LI-PG1 Skills Building Architecture, Emerging Technologies, Ideation, Large Language Model (LLM) Fine-Tuning, Python (Programming Language), Structured Query Language (SQL) 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.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you.

Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position.

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