Solutions Architect

Who are we? Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future Why This position In this role as a Solutions Architect at Cohere, you will play a significant role in growing Coheres business and have a great deal of autonomy when it comes to technical pre-sales and post-sales. In this dynamic role, you will need to be both a strategic thinker and a handson doer. You will take a handson approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. Responsibilities Develop and deliver cuttingedge agentic AI solutions utilizing Coheres foundation models and Agentic AI Foundry - North. Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs. Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model finetuning, custom agents, and agent orchestration. 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 agentbased 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. Qualifications 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 handson skills with Python, Jupyter Notebooks, and cloudnative 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. Handson experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production. Familiarity with model finetuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs. Indepth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models. Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences. Preferred Background in building and managing scalable AI/ML ecosystems, with knowledge of multicloud deployment strategies. Familiarity with security standards for deploying agentbased AI solutions, including data privacy, model safety, and access controls. Experience working in a startuplike context. If some of the above doesnt line up perfectly with your experience, we still encourage you to apply We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. FullTime Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, inoffice lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave topup for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and wellbeing, quality time, and workspace improvement 🏙 Remoteflexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a coworking stipend 6 weeks of vacation (30 working days)#J-18808-Ljbffr