Distinguished AI Engineer

We’re looking for a Distinguished AI Engineer to provide top-tier individual-contributor technical leadership for a large enterprise AI platform. You’ll solve complex platform engineering problems and drive reusable, secure, reliable, observable, and cost-efficient capabilities that let teams deliver AI and GenAI solutions at scale. You lead through technical judgment, working engineering assets, and influence, not people management. Key Responsibilities

• Lead the design and evolution of platform services for model access, routing, serving, RAG, agents, orchestration, evaluation, and observability
• Solve hard trade-offs across capability, latency, throughput, resiliency, security, data isolation, portability, and cost
• Lead critical technical spikes, prototypes, reference implementations, deep design reviews, and major production issue resolution
• Set measurable expectations for availability, recovery, performance, capacity, telemetry, release safety, evaluation coverage, and inference cost
• Build reusable engineering assets: APIs, SDKs, Terraform/IaC modules, deployment patterns, CI/CD templates, dashboards, and evaluation tooling
• Drive production excellence through observability, controlled releases, rollback, incident learning, capacity planning, and cost optimization
• Build security and AI controls into the platform: identity and access, authorization-aware retrieval, secure tool execution, prompt-injection defenses, data protection, logging, and audit evidence
• Work with cybersecurity, risk, compliance, legal, audit, architecture, product, and business teams to turn enterprise requirements into technical controls
• Evaluate emerging AI technologies and recommend adoption based on value, maturity, risk, and total cost of ownership
• Mentor senior engineers and drive adoption of platform patterns across teams

• 10+ years of progressive experience in software engineering, distributed systems, cloud/platform engineering, or AI/ML infrastructure, including leading complex systems across multiple teams
• Proven record of building, scaling, transforming, or rescuing production platforms used by multiple teams or business domains
• Deep hands-on expertise in several of: LLM platforms, model serving, inference optimization, AI gateways, model routing, RAG, embeddings/vector search, agent frameworks, tool execution, AI orchestration, LLMOps/MLOps, evaluation systems, AI observability, or AI security controls
• Strong foundation in distributed systems, API and platform design, cloud-native architecture, containers/Kubernetes, networking, IAM, and secrets management