other
Posted 5 days agoSolutions Architect - Defence and National Security
at Cohere
Ottawa, CanadaOn-site
Responsibilities
- - 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.
Requirements
- We’re 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.
- You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform.
- 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
- - 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.
- experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts. - Security Clearance: Secret Clearance in Canada is required - 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 working in a startup-like context.