Cloud infrastructure
10 AI infrastructure leaders
These ten AI infrastructure leaders are current heads, senior directors and vice presidents of AI infrastructure at companies including Microsoft, OpenAI, Cerebras and JPMorganChase. A reader can learn how AI infrastructure leaders approach their work from people who have done it.
Professionals to explore
01—10Adam Robertson
LinkedInExperience: Head of AI Infrastructure · Lemurian Labs
Head of AI Infrastructure at Lemurian Labs since 2024, where his profile says he leads infrastructure, DevOps, ML and AI operations, IT, QA and performance testing, with a focus on cutting the cost and energy of AI training and deployment. He was previously Vice President of DevOps at Control Plane Corporation (2023–2024) and Head of DevOps at WitnessAI (2023–2024).
Anand Rajagopalan
LinkedInExperience: Head of AI Infrastructure Platform · JPMorganChase
Head of AI Infrastructure Platform at JPMorganChase since 2024, where the profile describes building the bank's AI infrastructure platform for LLM training and inference across a hybrid cloud. He previously led cloud platforms for the Commercial Investment Bank at JPMorganChase (2020–2024), was Chief Technology Officer at Hotwire (2018–2020) and was Vice President and Head of Site Engineering at Macy's (2014–2018).
Ananth Sankaranarayanan
LinkedInExperience: Vice President, AI Infrastructure and Supercomputing · Microsoft
Vice President of AI Infrastructure and Supercomputing at Microsoft since 2026, where his profile says he is responsible for designing, building and operating Azure supercomputing infrastructure for large AI models. Before that he was Senior Director of AI Infrastructure, Applied ML and Supercomputing at Meta (2020–2026) and held engineering and product roles at Intel from 2007 to 2019, including Senior Director in the AI Products Group (2016–2019).
Arun Singhal
LinkedInExperience: Head of AI Infrastructure · Anyscale
Head of AI Infrastructure at Anyscale, the AI application platform company, since 2025. He has also been Director of Engineering for Apache Kafka at Confluent since 2024, after leading its Kafka developer platform engineering (2022–2023). He was earlier an engineering leader on AWS Lambda at Amazon Web Services (2019–2022) and Head of Technology for worldwide deals, promotions and coupons at Amazon (2014–2019).
César Martínez Spessot
LinkedInExperience: Senior Director of Engineering - AI Infrastructure · Microsoft
Senior Director of Engineering for AI Infrastructure at Microsoft since 2025; his headline places the role at Microsoft Research and notes he is an adjunct professor of AI. Before this role he spent about nine years at Intel, as Director of Engineering (2016–2021) and then Senior Director of Engineering and GM of AI Cloud, Edge and Network (2021–2025).
Derrik Mildh
LinkedInExperience: Head of AI Infrastructure · Absci
Head of AI Infrastructure at Absci since 2026 and a Principal Infrastructure Engineer there since 2021. Mildh's profile cites MLOps and high-performance GPU clusters for AI research. Before Absci, Mildh spent about twelve years at Illumina (2009–2021) in storage, scientific computing and DevOps roles, most recently as Senior Staff DevOps Engineer for product development.
Irene Lu
LinkedInExperience: Head of AI Infrastructure · OpenAI
Head of AI Infrastructure at OpenAI since 2025. Lu came from more than a decade in infrastructure finance at Meta and Facebook (2013–2025), including Director and Controller for construction, hardware and AI infrastructure (2024–2025), Controller for infrastructure hardware and supply chain (2022–2024) and head of server and network equipment accounting (2021–2022).
J Scott Williams
LinkedInExperience: Head of AI Infrastructure · Cerebras
Head of AI Infrastructure at Cerebras, the AI chip and compute company, since 2024, and Head of Infrastructure at Entefy since 2018. Williams was earlier Director of Cloud Infrastructure Engineering at [24]7.ai (2014–2018), serving as its acting global VP of infrastructure and cloud operations in 2016–2017, and Director of Capacity Planning at Yahoo (2012–2013).
Nitin Kishore Gupta
LinkedInExperience: Head of AI Engineering and Infrastructure · Claritev
Head of AI Engineering and Infrastructure at Claritev since 2025. He was earlier Head of AWS Data Platform at Amazon Web Services (2020–2022), Senior Director of Big Data and Machine Learning at Roku (2022) and Senior Director of Software Engineering at 23andMe (2015–2020), and worked as a principal consultant at Big Data Consulting from 2022 to 2025.
Yun Jin
LinkedInExperience: Head of AI Infra · Fireworks AI
Head of AI Infra at Fireworks AI since 2025, a company the profile describes as building an AI cloud focused on fast inference and model customization. Jin spent more than ten years as an Engineering Director at Meta (2014–2025), and held earlier roles as Vice President at PPLive (2011–2014), Director and Architect at Alibaba Cloud (2009–2011) and Principal Development Manager at Microsoft (2003–2009).
Choose the right perspective
Match the person's setting to your question, since running AI compute inside a large cloud provider, an AI lab, a startup and a regulated enterprise involve different constraints. Consider whether the person came up through software platforms, data center operations or infrastructure finance, since each brings a different view of how AI infrastructure gets planned and run.
Questions to take into the conversation
- 01How do you plan and prioritize compute for training versus inference workloads?
- 02How do you organize the teams that build and operate your AI infrastructure platform?
- 03What do you weigh when deciding between building infrastructure in house and using outside cloud capacity?
Reaching AI infrastructure leaders
How can I contact one of these AI infrastructure leaders?
Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 9 companies, including Lemurian Labs, JPMorganChase and Microsoft, based on profile data retrieved on October 9, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach AI infrastructure leaders?
You choose the offer, starting at $5 per person. It includes Instant Expert's 20% fee, so an offer that pays the person $100 costs you $125. You're charged only when the person books the call or sends the answer.
What if they don't reply?
You pay nothing. Instant Expert sends follow-up reminders, and if the person hasn't booked or answered within 7 days, the request expires and any hold on your card is released. You can invite several of the 10 people on this list at once and cap your total spend, so you pay only for the ones who accept.
Can an AI agent ask one of these AI infrastructure leaders a question?
Yes. An agent with a USDC wallet on Base can ask one question without an Instant Expert account. It names the person, for example by the LinkedIn URL on this page, and pays per ask over x402 (HTTP 402). The person answers in writing or by voice note, and if nobody answers within 7 days, the payment goes back to the wallet automatically. x402 docs
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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