Solutions Architect - Public Sector
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Key skills for this role
About the Role
Cohere is seeking a Solutions Architect to grow its Defence and National Security business. The role involves developing agentic AI solutions, architecting scalable NLP and generative AI solutions, and collaborating with customers to design pilots and translate business requirements into technical solutions.
Key Skills for This Role
Responsibilities
- 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
- Support deployment and integration of large language models and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures
- Lead technical engagements including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent based AI systems
- Work with product development to provide customer feedback on agentic AI capabilities and contribute to product enhancements
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, and cloud managed AI services
- Experience in 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 development of AI agents optimized for specific workflows
- Excellent communication skills to articulate complex AI architectures to both technical and executive audiences
Full Job Posting
Why this role?
- In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business.
- You will take a hands on approach to building customer demos and proof of concepts that showcase the business value of our platform.
In This Role, 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 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.
Compensation
- For candidates in Ottawa, the Compensation Range is: 265,000 315,000 CAD.
Perks
- Weekly lunch stipend of CAD 75.
- Full health and dental benefits including mental health budget.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top up for up to 6 months.
- Annual enrichment benefits for arts & culture, fitness/wellness, quality time, workspace improvement, and education & learning stipend.
- 6 weeks of paid vacation.
- Budget for traveling to other offices and annual company offsite.
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