Senior Solutions Architect - San Francisco
Who are we? Our mission is to scale intelligence to serve humanity.
What this role actually needs.
Who are we? Our mission is to scale intelligence to serve humanity. Requirements: - Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security. - Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization. - Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features. - 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts. - Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI. - Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges. Company context: Cohere builds enterprise AI models, tooling, and infrastructure with meaningful technical hiring across Canada and the United States.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.
- Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.
- Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.
- 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.
- Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.
- Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.
Why this listing is more than a copied job post.
Senior Solutions Architect - San Francisco is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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Location read
Hybrid roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: eb58bff6-645c-4434-9893-b34586d69be7 · Confidence: 94/100 · Last checked: May 7, 2026
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