Senior AI Platform Engineer
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 27, 2026.
Join our team as a Senior AI Platform Engineer, where you will be responsible for designing, building, and governing enterprise-scale intelligent automation systems. This role requires a strong software engineering foundation, expertise in AI threat modeling, and the ability to operate cross-functionally. You will work in either our Chicago, IL or Overland Park, KS office, following a four-day in-office work model.
Missions
- Design, build, and govern enterprise-scale intelligent automation systems centered on agentic artificial intelligence.
- Drive the adoption of autonomous agent frameworks across complex, multi-team environments, translating emerging AI capabilities into resilient, production-grade systems.
- Lead cross-functional collaboration and alignment across engineering, security, product, and operations, turning competing priorities into practical outcomes.
Profil recherché
- Solid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure-as-code- Ability to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modes
- Capable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive-level communication
- Strong security mindset with expertise in AI threat modeling, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs
- Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures
- Proven ability to operate cross-functionally and lead without authority across engineering, security, product, and operations
- 5+ years of relevant experience across AI/ML systems, software engineering, or cybersecurity, with hands-on experience building, securing, and operating production-grade systems
- Proven track record building production-grade agentic AI systems that operate reliably at scale
- Hands-on experience designing agent orchestration patterns, debugging non-deterministic failures, and delivering observable, auditable AI pipelines in regulated environments
- Strong applied security expertise, including implementing defenses against prompt injection, jailbreaking, and tool misuse, with experience in red-teaming or penetration testing AI systems
- Demonstrated ability to drive alignment across security, legal, compliance, product, and engineering, turning competing priorities into practical, well-documented outcomes
- Comfortable presenting architectural trade-offs and risk decisions to senior leadership in high-stakes environments
- Experience in financial services or regulated industries, with exposure to AI governance, model risk management, or internal AI policy development preferred