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Coupa

Forward Deployed Engineer (FDE) - 11385

United Kingdom
Posted 2 months ago
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Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

  • Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
  • Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
  • Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

Impact of the Forward Deployed Engineer at Coupa:

The Forward Deployed Engineer (FDE) is the technical engine of Coupa’s AI Transformation. Sits at the intersection of Generative AI Engineering, Complex Workflow Orchestration, and Enterprise Systems Integration. Responsible for breaking down complex spend friction into logical state-machine workflows, utilizing Coupa Compose to orchestrate data, SLAs, AI agents, and business rules across heterogeneous environments. You translate high-level "intents" defined by the Business Consultant into functional, interconnected AI solutions that drive measurable business outcomes. As a "forward deployed" resource, you act as the critical technical link between customer requirements and Coupa Product Management.

What You'll Do:

AI Engineering & Agentic Orchestration

  • Agent Studio Mastery: Own the build, configuration, and rapid prototyping within Coupa Agent Studio; utilize "Agent Creativity" to expand platform capabilities beyond standard out-of-the-box features.
  • Prompt & Model Engineering: Specialized in AI Prompt Configuration and Model Tuning; possess the critical ability to identify when an agent is "hallucinating" and apply technical guardrails to ensure "Golden Standard" accuracy.
  • Multi-LLM & Tool Fluency: Fluent in multiple AI solutions and frameworks beyond Coupa (e.g., Claude, OpenAI, MCP, LangChain) to architect the most effective "Best-of-Breed" agentic workflows.
  • Architect Extensibility (Embedded UI Assistant & MCP): Design and deploy Coupa's open extensibility frameworks. Enable the Embedded UI Assistant (via Open Assistant Framework) to integrate external AI into the Coupa UI, and leverage the Model Context Protocol (MCP) to allow external enterprise orchestrators to securely execute Coupa actions.
  • Agent-to-Agent Communication: Design the logic and hand-off protocols that allow multiple agents to collaborate autonomously on complex, multi-step workflows.
  • Process State Machine Design: Decompose highly complex, multi-step procurement and finance challenges into deterministic, resilient workflow logic. Account for multi-tiered routing, operational SLAs, real-time data transformations, and asynchronous exception-handling threads.
  • UX Alignment & Adoption Engineering: Own the user journey within Tonkean (Smart Intake & Orchestration). Ensure that data extracted by agents maps seamlessly to intuitive, personalized frontend fields, eliminating change management overhead and driving process adoption.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Integration & Technical Leadership

  • Full-Suite API Mastery: Leverage deep technical API knowledge to ensure secure, low-latency data exchange between AI agents and 3rd-party enterprise ecosystems (ERP, CLM, CRM).
  • Security & Risk Alignment: Partner directly with customer IT teams to resolve security questions, risk assessments, and technical feasibility blockers, ensuring all builds meet enterprise-grade standards.
  • Consumption Strategy: Understand and manage the impact of agentic use cases on Coupa credit usage and resource consumption.

The Field-to-Product Bridge

  • Bi-Directional Feedback Loop: Act as the primary technical liaison to Product Management; identify roadmap gaps, articulate customer technical issues, and prioritize new features based on actual engagement data.
  • "As-Designed" Integrity: Close the loop between the original architectural vision and the final technical delivery to ensure the solution remains aligned with "As Designed" specifications.
  • Technical Sales Support: Own and curate a library of "Agent Blueprints" to rapidly deploy high-impact PoCs in pre-sales, serving as the final authority on technical feasibility.
  • Delivery Scaling & Asset Democratization: Move beyond localized blueprints for sales pitches. Package customized SIO workflows and Agent Studio configurations into standardized, reusable implementation patterns and framework components that optimize delivery velocity across the global Professional Services ecosystem.

Performance Tuning & Quality Assurance

  • Guardrail & Simulation Design: Design the authorization boundaries and simulation runs that define where an agent can act autonomously versus where "Human-in-the-Loop" intervention is required.
  • Functional Correctness: Develop automated evaluation harnesses to move past "semantic correctness" and ensure rigorous "functional correctness" in production environments.
  • Monitoring & Health: Own the technical lifecycle of the build, including unit testing, monitoring agent health, and remediating workflow breakages.
  • Continuous Improvement: Understands human-in-the-loop best practices and where and how to build that into tech solutions.

What You Will Bring to Coupa:

Must-Have Technical Expertise

  • Integration Background: Proven experience in a technical integration role (Middleware, API Engineering, or Systems Architecture) with a deep knowledge of REST/GraphQL and JSON.
  • Programming Proficiency: Fluency in Python and/or JavaScript (Node.js).
  • System Connectivity: Experience building the "connective tissue" between non-deterministic AI outputs and deterministic enterprise systems.
  • Coupa S2P Domain Awareness: Understanding of Source-to-Pay business requirements; ability to map agentic workflows to core procurement, invoicing, and payables logic.
  • Agentic Frameworks: Hands-on experience with MCP or similar open-standard agentic architectures (e.g., LangChain, AutoGen).

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Desired “Super Powers”

  • The "Builder" Mindset: Ability to move rapidly from a blank page to a functional, "pluggable" AI component.
  • Strategic Problem Solving: Skill in debugging complex systems where errors may stem from data quality, prompt ambiguity, or API latency.
  • Strategic Rapport: Ability to establish technical trust with C-suite stakeholders, serving as the "Expert in the Room" for AI transformation.
  • Digital Transformation Foundation: Proven experience in enterprise strategic consulting and large-scale digital transformation initiatives.
  • Technical Agility: Works well in an agile implementation environment and can quickly redesign an agent's logic.
  • Transparent Translator: Can explain why the tech is behaving that way without being too technical, and also instill confidence in the customer.
  • Coupa API/Compose Depth: Can diagnose if it’s the agent’s fault, is it the product, is it the data, is it the configuration. Also will help with expectation-setting upfront to give the customer knowledge proactively.
  • The "Logical Systems" Architect: The ability to map complex, highly political, and fragmented legacy client processes into streamlined, automated workflow dependencies without losing architectural coherence.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

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Skills

Python
JavaScript
Node.js
REST
GraphQL
JSON
Generative AI
Prompt Engineering
Model Tuning
LangChain
Agentic Orchestration
API Engineering
Systems Architecture
Middleware
Source-to-Pay
Workflow Orchestration

Location

United Kingdom

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