Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud)
$180k - $300k USD
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.
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
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
DevOps Tools: Git, Docker, Helm
Big Data Frameworks: Spark, Kafka, Hadoop
Databases: SQL, NoSQL, and vector databases
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, 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: 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.