Solutions Architect - Public Sector

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on 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. In this role, you will: Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s 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 fine-tuning, 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 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. This career opportunity may be a good match for you if you possess: 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. Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production. Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs. In-depth 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. Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies. Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls. Nice to have: Experience working in a startup-like context. Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. For candidates in Ottawa, the Compensation Range is: 265,000 - 315,000 Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

The Solutions Architect will drive growth in the Defence and National Security business by building customer demos and proof of concepts showcasing the platform's value, acting as the technical relationship owner. Key duties include developing agentic AI solutions, architecting scalable NLP/generative AI systems, and translating business needs into technical solutions like model fine-tuning and custom agents.

Candidates must have over 5 years of experience in AI/ML solution architecture, specifically with agentic AI and model customization in enterprise settings, alongside strong hands-on skills in Python, cloud deployment frameworks (Kubernetes, Docker), and major cloud AI services. Familiarity with agent orchestration frameworks and deep understanding of LLM operational considerations are also required.

• Open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend • In-office lunches & snacks • Full health and dental benefits • Separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible • Co-working stipend • 6 weeks of vacation (30 working days)

• KubernetesSouhaitée
• DockerSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Agentic AI
• Model Customization
• Python
• Jupyter Notebooks
• Kubernetes
• Docker
• AWS Sagemaker
• Bedrock
• Azure AI Foundry
• Google Vertex AI
• Agent Orchestration Frameworks
• Model Fine-tuning
• Generative LLMs
• NLP Solutions
• Solution Architecture
• Cloud Infrastructure

• Technology
• Engineering
• Data & Analytics
• Software
• Consulting

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada