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Role Description

Allstate's Data & Analytics Technology team is seeking an AI Platform Engineering Manager to lead a high-performing engineering team responsible for building, scaling, and operating enterprise-grade Generative AI platforms. In this role, you'll provide both people leadership and technical direction across GenAI platform architecture, cloud-native services (Azure), Large Language Model (LLM) enablement, MLOps/LLMOps, and modern Agile delivery practices.

You will shape the foundational capabilities that enable secure, scalable, and responsible AI adoption across the enterprise. You'll drive platform strategy, influence architectural decisions, and partner closely with product, data science, security, and business teams to accelerate innovation while ensuring reliability, governance, and operational excellence.

Key Responsibilities:

• Lead, coach, and develop a team of platform and AI engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
• Provide hands-on technical leadership and architectural guidance for GenAI platform services, including LLM orchestration, prompt management, vector search, embeddings, and model integration.
• Define and evolve the GenAI platform roadmap to support enterprise use cases, balancing speed of innovation with scalability, security, and cost efficiency.
• Drive adoption of cloud-native and Azure-based architectures, including containerization, Kubernetes, CI/CD, infrastructure-as-code, and observability.
• Establish and mature LLMOps/MLOps practices, including model lifecycle management, monitoring, evaluation, versioning, and responsible AI controls.
• Partner with data science, application engineering, security, legal, and compliance teams to ensure safe, ethical, and compliant use of Generative AI technologies.
• Enable self-service capabilities and reusable platform components that empower application teams to rapidly build and deploy GenAI-powered solutions.
• Ensure high-quality delivery through Agile best practices, clear engineering standards, and data-driven decision-making.
• Communicate technical strategy, tradeoffs, and outcomes effectively to both technical and non-technical stakeholders.

Qualifications

• Proven experience leading and managing engineering teams, with accountability for delivery, quality, and team development.
• Strong background in software or platform engineering, with experience building distributed, cloud-native systems.
• Hands-on experience with Generative AI and Large Language Models, including integrating foundation models via APIs or managed services.
• Deep understanding of Azure cloud services (AL Foundry) and modern DevOps practices.
• Experience with Python and/or other backend languages commonly used in AI and platform development.
• Solid knowledge of system design, APIs, data pipelines, and scalable architectures.
• Strong collaboration and communication skills, with the ability to influence across organizational boundaries.
• 7 or more years of related experience (preferred).

Preferred Qualifications

• Experience designing or operating internal developer platforms or shared services.
• Familiarity with vector databases, retrieval-augmented generation (RAG), and agentic frameworks.
• Knowledge of responsible AI principles, governance models, and enterprise security controls.
• Background in regulated or large-scale enterprise environments.
• Experience with Google Gemini and AWS Bedrock.

Compensation

Compensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.