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.

Were 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 co-headquartered in Toronto and San Francisco with key offices in London New York City Montreal Seoul Germany and Paris. Join us!

Why this role

In this role as a Solutions Architect at Cohere you will play a significant role in growing Coheres 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 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 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: 265000 - 315000

How and Where We Work:

• Cohere is remote-friendly. We have offices in Toronto San Francisco New York City London Paris Montreal and more coming 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.

If any of the above doesnt 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 doesnt limit the applications our recruiters may review or consider.

Required Experience:

Staff IC