Solutions Architect Job at Cohere (Toronto)

Solutions Architect

Cohere

Location:
Canada , Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

In this role as a Solutions Architect at Cohere, you will play a significant role in growing our 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.

Job Responsibility:

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

Requirements:

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
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 we offer:

An 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, including a 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, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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