Forward Deployed Engineer, Agentic Platform Europe

Cohere is the leading security‑first enterprise AI company. We build cutting‑edge foundation AI models and end‑to‑end products that solve real‑world business problems.

North is Cohere's cutting‑edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

This role offers a unique opportunity to shape how enterprises harness the power of AI in real‑world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

• Work closely with our enterprise customers to translate high‑value, ambiguous business problems into well‑framed agentic workflows with clear success criteria and evaluation methodologies
• Lead the design, build, and delivery of LLM‑powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise‑grade reliability and performance
• Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
• Take ownership of scoping and shaping use cases end‑to‑end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
• Contribute to shared frameworks and patterns that enable consistent, high‑quality delivery across customers and teams
• Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
• Travel up to 20–40% to work on‑site with customers and partners

• You have hands‑on experience building and deploying production‑grade software in Python; you write clean, testable, observable, scalable code
• You’ve built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi‑step tasks using patterns like ReAct or Plan‑and‑Execute
• You’re deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
• You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
• You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
• You have experience owning the full scope of a use case end‑to‑end
• You thrive in fast‑paced and ambiguous environments and can execute well even when priorities are shifting

• Experience setting architectural standards for AI and agentic systems across distributed teams
• Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
• Experience with enterprise security, compliance, or auditability requirements for AI systems

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401(k), pension scheme.
• 100 % parental leave top‑up for up to 6 months, for either parent.
• Annual enrichment benefits, including arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• Education & learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days).
• Budget for traveling to other offices if you are remote, plus an annual company offsite.

• Cohere is remote‑friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social…