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
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience
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