Senior AI/ML Specialist Solutions Architect; AI Infra & Cloud
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-07
San Francisco, San Francisco County, California, 94199, USA
Listing for:
Lavendo
Full Time, Remote/Work from Home
position Listed on 2026-01-07
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Data Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
Company type:
Publicly traded
Industry: AI / ML, Cloud Computing, Infrastructure-as-Code
Candidate
Location:
Remote U.S.
The Opportunity
We are seeking a Senior AI / ML Specialist Solutions Architect to join our client's team.
What You'll Do
• Architect and optimize distributed training and inference systems for large-scale AI models
• Design and deliver customer-focused solutions that maximize performance and business value
• Lead the transition of ML pipelines from POC to scalable production systems
• Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
• Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
• Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
• Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
What You Bring
• 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
• Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
• Demonstrated success delivering ML products, scaling from POC to production
• Deep knowledge of ML frameworks like PyTorch and JAX
• Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
• Exceptional communication skills to engage both technical teams and business stakeholders
• Legal authorization to work in the United States on a full-time basis without sponsorship
Preferred Technical Skills
• Programming
Languages:
Python, Go, Java, C++
• Infrastructure as Code (IaC):
Terraform, Ansible
• Orchestration:
Kubernetes (K8s), Slurm
• Dev Ops Tools:
Git, Docker, Helm
• Big Data Frameworks:
Spark, Kafka, Hadoop
• Databases: SQL, No
SQL, and vector databases
• ML Frameworks:
PyTorch, Tensor Flow, JAX, Hugging Face, Scikit-learn
Why Join?
• Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location)
• Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan with a 4% match program
• Stock options plan
• Flexible remote work environment
• Company-paid short-term, long-term disability, and life insurance coverage
• 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
• Up to $85 / month for mobile and internet
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs.
Be part of a team that operates one of the most powerful commercially available supercomputers.
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings.
Interviewing Process
Level 1 - Interview with Talent Acquisition
Level 2 - Interview with the Hiring Manager
Level 3 - Technical Assessment
Reference and Background Checks: conducted after successful interviews
Job Offer
Job Offer is provided to the selected candidate.
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $225K - $275K
#JLjbffr
Position Requirements
10+ Years
work experience
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