Senior Director, Platform & AI Infrastructure

Job not on LinkedIn

🕒 July 8

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Fortive

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

💰 Post-IPO Equity on 2020-03

Healthcare • Manufacturing • Logistics

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

📋 Description

• Own the AI/ML platform: GPU capacity strategy, model serving and inference latency, training and fine-tuning infrastructure, MLOps and evaluation pipelines, vector and feature stores, and the RAG and agentic patterns our product teams build on. • Build out the incident response program: on-call structure, severity definitions, incident command, communication standards, postmortems, and follow-through on systemic fixes. • Develop the observability stack across metrics, logs, traces, and synthetics. Set SLOs and report against them. • Operate the Azure and OCI footprint. Infrastructure-as-code, capacity planning, and reliability across CPU and GPU workloads. • Operations, performance, HA/DR, and roadmap for Oracle, SQL Server, MongoDB, and similar. • Brief executives on reliability and risk. Lead internal communication during incidents. Speak to customers when major incidents affect them. • Lead a globally distributed team of managers and senior ICs. Maintain a strong culture and leadership bench.

🎯 Requirements

• 10+ years in platform engineering, SRE, infrastructure, or AI/ML infrastructure, with 5+ leading teams. • Production experience running ML/AI workloads at scale, including GPU infrastructure, model serving, MLOps, or LLM/inference platforms. • Familiarity with the modern AI stack: vector databases, RAG, agent frameworks, evaluation, and the build-vs-buy tradeoffs across foundation model providers and open-source. • Built or rebuilt an incident response or observability program at scale. • Measurable reliability improvements (MTTR, availability, change failure rate) in a cloud environment. • Effective communicator with executives, the Board, customers, and the company during incidents. • Zero-trust and modern identity platforms.

🏖️ Benefits

• medical, dental, vision, life and LTD insurance • HSA • 401(k) retirement plan