At a Glance
- Tasks: Design and deploy cutting-edge AI solutions in customer environments.
- Company: Join Salesforce, the leader in AI-driven customer success.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborate in a dynamic team and shape the future of technology.
- Why this job: Be at the forefront of AI innovation and transform businesses.
- Qualifications: 3+ years in software engineering with AI experience required.
The predicted salary is between 81000 - 99000 £ per year.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
About the Role
As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you are a hands‑on Technical Builder who designs, constructs, and deploys enterprise‑grade agentic AI solutions directly inside customer environments. AFO powers the multi‑agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real‑time data grounding systems, perform prompt engineering, manage multi‑agent communication protocols, and deploy automated supply chain and back‑office workflows into production from day one.
What You'll Actually Be Building
- Workflow & Multi‑Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool‑calling logic, and conditional execution loops.
- Agent Communication Protocols: Implement modern agent‑to‑agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand‑offs, and tool execution across specialized AI agents.
- Enterprise AI Grounding Systems: Architect, build, and maintain real‑time data grounding infrastructure using RAG (Retrieval‑Augmented Generation), vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
- Enterprise Integration & API Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
- AI‑Assisted Engineering: Leverage modern AI tools (Cursor, Claude, Vibes) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
- Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real‑time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
- Field‑to‑Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
Required Qualifications
- 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
- High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
- Hands‑on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
- Multi‑Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event‑driven messaging architectures).
- Expertise in process orchestration and API‑led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
- Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
- Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
- Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
- Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
- Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
- Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
- Willingness to travel 25-30% for on‑site deployment with key enterprise accounts.
Preferred Qualifications
- Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
- Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
- Hands‑on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
- Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Agentforce Operations FDE in London employer: 428 Salesforce UK Limited
Salesforce is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous development opportunities while working in a vibrant EMEA location that champions diversity and inclusion. Join us to be part of a forward-thinking team that not only drives business success but also prioritises meaningful impact for our customers and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Agentforce Operations FDE in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Agentforce Operations FDE in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 428 Salesforce UK Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 428 Salesforce UK Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 428 Salesforce UK Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 428 Salesforce UK Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
