Senior Solutions Architect II (AI/ML)

Location: Remote, associated with San Francisco and the Bay Area Metro.

Base salary: $100,000–$120,000 per year; on-target earnings: $133,333–$160,000.

Company

hirify.global provides scalable cloud infrastructure and AI services for builders, businesses, strategic accounts, and technology partners.

What you will do

• Advise strategic accounts and partners on AI/ML and GPU-based workloads.
• Collaborate with Account Executives, Technical Account Managers, Engineering, Product, Operations, and partner teams on customer success plans.
• Design, present, implement, and optimize scalable architectures, modernization strategies, and AI solutions.
• Lead technical deep dives, workshops, proofs of concept, migrations, and executive briefings.
• Help customers build chatbots, inference services, and recommendation systems using Kubernetes, NFS, and databases.
• Troubleshoot complex issues, communicate customer feedback, and support adoption, retention, workload expansion, and product improvement.

Requirements

• 7+ years of experience in Solutions Architecture, Technical Consulting, or Software Engineering, including pre-sales and solution strategy.
• Deep expertise in AI/ML frameworks including TensorFlow and PyTorch, and platforms such as Hugging Face.
• Experience deploying and fine-tuning LLMs and GenAI models, including DeepSeek, Qwen, Llama, Claude, or GPT-4, using SFT, LoRA, and QLoRA.
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems including CUDA and ROCm.
• Hands-on experience with vLLM, SGLang, TensorRT, and quantization methods including INT4, INT8, and FP8.
• Familiarity with Docker, Terraform, CI/CD pipelines, and modern cloud-native practices.
• Excellent communication skills and confidence presenting to engineers and executives.
• Ability to lead complex technical engagements from discovery and solution design through post-deployment success, using a consultative approach aligned with customer business objectives.

Nice to have

• Open-source or technical community contributions related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies.
• Advanced knowledge of AWS, Azure, or GCP, including multi-cloud or hybrid cloud architectures.
• Advanced AI/ML or GPU certifications from providers such as NVIDIA or AMD.
• Experience building internal tools, automation scripts, or frameworks for cloud migrations, deployment workflows, or architectural practices.
• Participation in cloud-native or developer communities, including presentations or forum contributions.
• Published technical content on cloud architecture, modernization, or technical thought leadership.
• Familiarity with partner ecosystems, ISVs, technology alliances, or channel partnerships.

Culture & Benefits

• Remote role with benefits and eligibility varying by location.
• Flexible time off, local team meetups, and mental health and well-being support may be available.
• Reimbursement for relevant conferences, training, and education is available subject to company policy.
• Eligible employees may receive annual bonuses, equity compensation, and, in participating countries, access to an Employee Stock Purchase Program.
• Applications are limited to three positions within any 180-day period.

Hiring process

• Applicants may apply to a maximum of 3 positions during any 180-day period.