The Sr. Director, Platform & AI Infrastructure leads the platforms that power Gordian's products and our AI transformation: cloud infrastructure, data platforms, ML/AI infrastructure, incident response, and observability.
This is a builder role. You'll stand up the AI platform that our product and engineering teams build on, modernize how we run production, and establish the incident response and observability programs that scale with us.
Key responsibilities
- AI platform and production ML. 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. Partner with product engineering and architecture on build-vs-buy decisions across foundation model providers and open-source.
- Incident and observability management. 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.
- Cloud infrastructure. Operate the Azure and OCI footprint. Infrastructure-as-code, capacity planning, and reliability across CPU and GPU workloads.
- Data platforms. Operations, performance, HA/DR, and roadmap for Oracle, SQL Server, MongoDB, and similar.
- Communication. Brief executives on reliability and risk. Lead internal communication during incidents. Speak to customers when major incidents affect them.
- People. Lead a globally distributed team of managers and senior ICs. Maintain a strong culture and leadership bench.
Required
- 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.
Fortive Corporation Overview
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.
We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
About the TeamSimilar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


