Solutions Architect - Defence and National Security
Ottawa • FullTime
Posted 2mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Cohere is seeking a Solutions Architect to join our Defence and National Security team. This role requires a blend of strategic thinking and hands-on execution, focusing on building customer demos and proof-of-concepts that highlight the value of Cohere's AI platform. You will act as the technical relationship owner, collaborating with stakeholders to understand their business objectives and translate them into technical solutions. Your responsibilities will include serving as the voice of the customer, liaising between clients and our product team, guiding best practices, identifying platform improvements, and fostering technical champions within customer organizations to drive adoption and gather feedback.
Responsibilities
- Develop and deliver agentic AI solutions using Cohere's foundation models and Agentic AI Foundry - North.
- Architect scalable, secure, and customizable NLP and generative AI solutions for enterprise customers.
- Collaborate with customers to understand workflows, design pilots, and translate business requirements into technical solutions including model fine-tuning, custom agents, and agent orchestration.
- Support the deployment and integration of LLMs and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures.
- Lead technical engagements, including AI architecture deep dives, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.
- Provide customer feedback to the product development team on agentic AI capabilities and contribute to product enhancements.
Requirements
- 5+ years of experience in AI/ML solution architecture, with expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.
- Secret Clearance in Canada is required.
- Hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks like Kubernetes and Docker.
- Experience with cloud managed AI services such as AWS Sagemaker, Bedrock, Azure AI Foundry, or Google Vertex AI.
- Experience designing and deploying 'agentified' AI workflows involving multiple interconnected models or agents.
- Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.
- Familiarity with model fine-tuning methodologies and developing AI agents for specific workflows.
- In-depth understanding of generative LLMs, including their strengths, weaknesses, and operational considerations.
- Excellent communication skills to articulate complex AI architectures to technical and executive audiences.
- Familiarity with security standards for deploying agent-based AI solutions (data privacy, model safety, access controls) is a plus.
- Background in building and managing scalable AI/ML ecosystems with multi-cloud deployment strategies is a plus.
- Experience working in a startup-like context is a plus.
Benefits
- Weekly lunch stipend of $75/£75 or equivalent.
- Full health and dental benefits, including a mental health budget.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months.
- Annual enrichment benefits (Arts & culture, fitness/wellness, quality time, workspace improvement).
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days).
- Budget for traveling to other offices if remote.
- Annual company offsite.
- $500 home office stipend.