# Solutions Architect - Defence and National Security

**Company:** [Cohere](https://hotfix.jobs/companies/cohere)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Python, Jupyter Notebooks, Kubernetes, Docker, Aws Sagemaker, Amazon Bedrock, Azure Ai Foundry, Google Vertex Ai, Cohere North, Model Fine-Tuning, LLMs, Generative AI, NLP, Multi-Cloud Deployment
**Posted:** 2026-05-19

> Designs and deploys secure, customized agentic AI and generative AI solutions for defence and national security customers. The role combines customer-facing architecture, hands-on proofs of concept, production deployment, technical workshops, and product feedback, requiring 5+ years of AI/ML solutions architecture experience and Canadian Secret Clearance.

## Job Description

## 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.
- Understand complex customer workflows, design pilots, and translate business requirements into technical solutions involving model fine-tuning, custom agents, and agent orchestration.
- Support deployment and integration of large language models and custom solutions into production using Kubernetes, Docker, and cloud infrastructure, ensuring performance and security.
- Lead technical engagements, including AI architecture deep dives, workshops, and best-practice development for agent-based AI systems and model customization.
- Provide customer feedback to product development, contribute to product enhancements, and help shape future agentic AI features.

## Requirements
- 5+ years of experience in AI/ML solutions architecture, including agentic AI, model customization, and deployment of tailored AI models in enterprise environments.
- Secret Clearance in Canada.
- Strong hands-on skills with Python, Jupyter Notebooks, Kubernetes, Docker, and cloud-native deployment frameworks.
- Experience with cloud-managed AI services such as AWS SageMaker, Amazon Bedrock, Azure AI Foundry, or Google Vertex AI.
- Experience designing and deploying agentified AI workflows involving multiple interconnected models or agents.
- Hands-on experience with agent orchestration frameworks such as Cohere North and deploying custom agents to production.
- Familiarity with model fine-tuning methodologies and developing AI agents for specific workflows and enterprise needs.
- In-depth understanding of the strengths, weaknesses, and operational considerations of generative large language models.
- Excellent communication skills for explaining complex AI architectures to technical stakeholders and executives.

## Nice to Have
- Experience building and managing scalable AI/ML ecosystems, including multi-cloud deployment strategies.
- Familiarity with security standards for agent-based AI solutions, including data privacy, model safety, and access controls.
- Experience working in a startup-like environment.

## Compensation and Benefits
- $75 weekly lunch stipend, or equivalent in local currency.
- Full health and dental benefits, including a separate mental health budget.
- RRSP matching, 401(k), or pension scheme.
- 100% parental leave top-up for up to 6 months for either parent.
- Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation.
- Travel budget for remote employees visiting other offices and an annual company offsite.
- Co-working benefit and a $500 home office stipend.

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