Senior Director, Enterprise AI Platform Engineering

Insulet Corporation

. Define and lead Insulet’s enterprise AI platform vision, strategy, architecture, and operating model .

Posted 9/25/2026full-timeUnited StatesSenior💰 $280,600 - $420,850 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudServiceNow

About the role

Key responsibilities & impact

Define and lead Insulet’s enterprise AI platform vision, strategy, architecture, and operating model
Own AI platform engineering, operations, governance, architecture, observability, FinOps, enablement, and reusable AI service delivery
Set the enterprise roadmap across Microsoft Copilot, Copilot Studio, Azure AI, LLMs, RAG, agents, document intelligence, semantic search, vector stores, orchestration frameworks, model gateways, and reusable AI services
Establish decision frameworks, reference architectures, platform patterns, blueprints, and engineering standards
Present investment recommendations, build-versus-buy decisions, vendor choices, value cases, and risk assessments to CTO, ELT, and senior leaders
Lead AI operations, LLMOps, platform reliability, developer experience, onboarding, and production support
Drive enterprise enablement through reference implementations, prompt and agent libraries, connectors, integration adapters, evaluation harnesses, playbooks, and communities of practice
Own knowledge retrieval, document intelligence, semantic architecture, ingestion, metadata, access-aware retrieval, vector indexing, source attribution, and citation quality
Establish responsible AI governance automation, policy-as-code, FinOps, observability, and risk controls
Own reusable AI platform services, APIs, connectors, prompt modules, agent frameworks, model gateways, evaluation tools, monitoring capabilities, and semantic services
Set enterprise standards for versioning, testing, CI/CD, deployment, monitoring, documentation, incident response, lifecycle management, resilience, and retirement
Build, lead, and develop a multi-layer organization of directors, senior managers, architects, engineers, product leaders, and technical specialists
Influence technology strategy, architecture, investments, vendor decisions, risk posture, and modernization priorities at CTO and ELT levels

Requirements

What you’ll need

Bachelor's or Master's degree in computer science, engineering, data science, information systems, analytics, or a related technical field
18+ years of progressive experience leading enterprise-scale technology, data, analytics, AI, platform engineering, or cloud engineering organizations, including significant leadership of leaders and multi-disciplinary teams
Experience setting multi-year enterprise platform strategy, owning complex investment portfolios, and delivering secure, reliable, reusable services at scale
Strong understanding of generative AI, large language models, RAG, AI agents, copilots, embeddings, vector databases, semantic search, document intelligence, knowledge graphs, MLOps/LLMOps, APIs, and cloud-native engineering
Ability to influence executive stakeholders and communicate architecture choices, investments, value, and risk at CTO and ELT levels
Preferred: experience in healthcare, medical devices, life sciences, diabetes care, digital health, or other regulated industries
Preferred: hands-on experience with Microsoft 365 Copilot, Copilot Studio, Azure AI, Azure OpenAI, Databricks, Snowflake, Salesforce, ServiceNow, and enterprise integration ecosystems
Preferred: experience building or operating AI FinOps, governance automation, AI observability, model gateways, prompt management, evaluation frameworks, or enterprise guardrail services
Strong executive communication and influence skills

Benefits

Comp & perks

Incentive compensation eligibility
Medical, dental, and vision insurance
401(k) with company match
Paid time off (PTO)
Additional employee wellness programs