Principal Platform Consultant, AI Platforms

AllstateMcCullom Lake, IL
$211,000 - $290,500Hybrid

About The Position

We are seeking a Principal Platform Consultant – AI Platforms to shape the future of AI across the enterprise. This is a top-tier technical leadership role focused on defining how AI platforms and agent-based systems are designed, governed, and scaled. You will influence enterprise strategy, guide platform architecture, and partner across engineering, data, security, and business teams to deliver production-ready AI platform capabilities.

Requirements

  • 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
  • Passion for mentoring engineers and shaping engineering culture
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Nice To Haves

  • 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

Responsibilities

  • Define AI Platform Strategy: Shape the enterprise design and strategy for AI platforms, generative AI, and agent-based systems. Establish scalable patterns for model access, orchestration, and AI-enabled workflows.
  • Design Enterprise-Grade AI Systems: Create reference architectures and reusable platforms for AI and agentic applications. Enable capabilities such as retrieval-augmented generation, prompt orchestration, and multi-agent workflows. Ensure systems are observable, resilient, and cost-efficient.
  • Drive Responsible AI Adoption: Define and implement standards for governance, security, and responsible AI usage. Establish guardrails for model selection, evaluation, monitoring, and lifecycle management. Ensure strong identity, access control, and auditability for AI and agent interactions.
  • Accelerate Delivery Through Platform Engineering: Build reusable platform capabilities that reduce duplication and improve developer experience. Integrate AI into software delivery, developer tooling, and operational workflows.
  • Influence at Enterprise Scale: Partner with senior leaders across engineering, product, data, and cybersecurity. Translate emerging AI technologies into actionable platforms and roadmaps. Provide executive-level technical guidance and decision frameworks.
  • Lead and Mentor: Act as a trusted advisor to senior engineers, platform consultants and architects. Drive engineering excellence and elevate AI capabilities across the organization.

Benefits

  • Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
  • Monthly connectivity reimbursement for eligible remote employees.
  • Opportunity to shape the future of protection.
  • Support for causes that mean the most to you.
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