Principal Platform Consultant, AI Platforms

Allstate Allstate · Insurance · United States · Remote

Seeking a Principal Platform Consultant to shape the future of AI across the enterprise by defining how AI platforms and agent-based systems are designed, governed, and scaled. This role influences enterprise strategy, guides platform architecture, and partners across teams to deliver production-ready AI platform capabilities.

What you'd actually do

  1. Shape the enterprise design and strategy for AI platforms, generative AI, and agent-based systems
  2. Create reference architectures and reusable platforms for AI and agentic applications
  3. Define and implement standards for governance, security, and responsible AI usage
  4. Build reusable platform capabilities that reduce duplication and improve developer experience
  5. Partner with senior leaders across engineering, product, data, and cybersecurity

Skills

Required

  • Deep experience with AI/ML platforms, generative AI, and large language models (LLMs)
  • Experience designing agent-based systems, orchestration frameworks, or AI-enabled workflows
  • Strong background in cloud-native architecture (multi-cloud) and distributed systems
  • Knowledge of APIs, data platforms, vector databases, and retrieval-based systems
  • Familiarity with identity, security, and governance patterns for enterprise systems
  • Experience with observability, resiliency, and production-scale platform engineering
  • 12+ years of experience in software engineering, platform engineering, or architecture
  • Proven track record of leading large-scale, cross-organizational initiatives
  • Ability to translate complex technical concepts into business-aligned strategies and outcomes
  • Experience influencing senior stakeholders and driving alignment across teams

Nice to have

  • Experience building or scaling enterprise AI platforms or AI enablement services
  • Hands-on work with AI gateways, model routing, or orchestration frameworks
  • Experience integrating AI into developer workflows, platforms, or customer-facing systems
  • Passion for exploring emerging technologies and applying them at enterprise scale

What the JD emphasized

  • AI/ML platforms, generative AI, and large language models (LLMs)
  • agent-based systems, orchestration frameworks, or AI-enabled workflows
  • cloud-native architecture (multi-cloud)
  • APIs, data platforms, vector databases, and retrieval-based systems
  • identity, security, and governance patterns for enterprise systems
  • observability, resiliency, and production-scale platform engineering
  • large-scale, cross-organizational initiatives
  • business-aligned strategies and outcomes
  • secure, scalable, and high-impact AI solutions

Other signals

  • Define AI Platform Strategy
  • Design Enterprise-Grade AI Systems
  • Drive Responsible AI Adoption
  • Accelerate Delivery Through Platform Engineering
  • Influence at Enterprise Scale