Forward Deployed Engineer, Agentic Platform (UK Public Sector)

Conditions

• Location: UK Active DV clearance is highly preferred In this role, you will: 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 may be a good fit if: 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 It's a bonus if you have: 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 Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

How they work

• We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.
• 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.
• How and Where We Work: Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.

How to apply

• If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
• Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process.
• All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias.