5 дней назад
Senior Director, Enterprise AI Platform Engineering (AI)
280 600 - 420 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Enterprise AI Platform Engineering (AI): Defining and leading an enterprise AI platform strategy for Microsoft Copilot, AI agents, knowledge retrieval, document intelligence, and intelligent automation with an accent on scalable architecture, governance, observability, and responsible AI operations. Focus on building reusable AI services, reducing platform fragmentation, managing AI FinOps and risk, and leading multidisciplinary engineering organizations at CTO and ELT levels.
Location: Hybrid; on-site work required at an office in Acton, Massachusetts or San Diego, California. U.S.-based position.
Annual base salary: $280,600–$420,850, plus potential incentive compensation.
Company
is a medical device company developing the Omnipod insulin management platform and other wearable drug-delivery technologies for diabetes care and additional therapeutic areas.
What you will do
- Define the multi-year vision, architecture, operating model, roadmap, and investment plan for the enterprise AI platform.
- Lead platform capabilities for Microsoft Copilot, Copilot Studio, Azure AI, custom copilots, AI agents, LLMs, RAG, semantic search, and intelligent automation.
- Build reusable AI services, APIs, connectors, model gateways, evaluation tools, monitoring capabilities, and semantic services.
- Own enterprise knowledge retrieval, document intelligence, vector indexing, metadata, knowledge graphs, and data-readiness standards.
- Establish governance automation, responsible AI controls, AI FinOps, LLMOps, observability, reliability, and risk-management practices.
- Build and lead a multidisciplinary organization of directors, managers, architects, engineers, product leaders, and technical specialists.
Requirements
- 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 technology, data, analytics, AI, platform engineering, or cloud engineering organizations.
- Experience setting multi-year enterprise platform strategy, managing complex investment portfolios, and delivering secure, reliable, reusable services at scale.
- Strong knowledge 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.
- Ability to work in a hybrid arrangement with required on-site work at an office in the United States.
Nice to have
- Experience in healthcare, medical devices, life sciences, diabetes care, digital health, or another regulated industry.
- Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI, Azure OpenAI, Databricks, Snowflake, Salesforce, ServiceNow, or enterprise integration ecosystems.
- Experience with AI FinOps, governance automation, AI observability, model gateways, prompt management, evaluation frameworks, or enterprise guardrails.
Culture & Benefits
- Full-time employment with a comprehensive employee benefits package.
- Medical, dental, and vision insurance.
- 401(k) plan with company match.
- Paid time off and employee wellness programs.
- Opportunity to influence enterprise AI modernization across commercial, R&D, quality, regulatory, operations, and technology functions.
Hiring process
- Submit an application through the Careers site.
- The posting remains open until the position is filled.
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