Senior Solutions Architect - San Francisco

Cohere Cohere · AI Frontier · San Francisco, CA · Revenue

Senior Solutions Architect at Cohere, focusing on pre-sales and post-sales technical engagements for enterprise AI solutions. The role involves building customer demos and proof-of-concepts, translating business needs into technical solutions using Cohere's foundation models, fine-tuning, custom agents, and agent orchestration. Responsibilities include supporting deployment, leading technical discussions, and providing customer feedback to the product team.

What you'd actually do

  1. Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.
  2. Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.
  3. Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.
  4. 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.
  5. Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.

Skills

Required

  • 5+ years of experience in AI/ML solution architecture
  • expertise in agentic AI
  • model customization
  • deploying tailored AI models in enterprise contexts
  • Python
  • Jupyter Notebooks
  • cloud-native deployment frameworks such as Kubernetes, Docker
  • cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI
  • designing and deploying “agentified” AI workflows
  • building on agent orchestration frameworks like Cohere North
  • deploying custom agents to production
  • model fine-tuning methodologies
  • development of AI agents optimized for specific workflows and enterprise needs
  • in-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs
  • customizing and orchestrating these models
  • Excellent communication skills

Nice to have

  • Background in building and managing scalable AI/ML ecosystems
  • knowledge of multi-cloud deployment strategies
  • Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls
  • Experience working in a startup-like context

What the JD emphasized

  • agentic AI
  • model fine-tuning
  • custom agents
  • agent orchestration
  • agentified AI workflows
  • agent orchestration frameworks
  • custom agents

Other signals

  • customer-facing
  • pre-sales
  • post-sales
  • technical relationship owner
  • building customer demos
  • proof of concepts
  • translating business objectives into technical solutions
  • voice of the customer
  • liaison between customer and product team
  • guidance on best practices
  • cultivate technical champions
  • drive adoption
  • gather feedback
  • enhance our products