Salesforce Logo

Salesforce

Forward Deployed Engineer

Reposted 8 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Lead end-to-end technical delivery of bespoke AI/LLM-based agent solutions on the Salesforce platform: design and implement architectures, build data integrations and pipelines, prototype and deploy production systems, troubleshoot complex issues, mentor junior engineers, and act as primary technical advisor to customers while driving Agentforce product improvements.
The summary above was generated by AI

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.

Job Category

Software Engineering

Job Details

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment — shipping solutions customers depend on.

The Builder Experience

  • AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow.

  • Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.

  • Frontier Access: Our agentic AI platform is evolving in real time.  You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures  and your field insight will feed directly to the product teams building them. 

  • Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.

What You'll Actually Be Building

  • Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.

  • Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform  and current LLM techniques.

  • Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.

  • Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output

  • Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.

  • Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.

  • Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.

  • Surface platform gaps, edge cases, and field insights to senior Engineers and the  product team. Your real-world experience is the product feedback loop.

  • Partner with the Deployment Strategist  in your pod to translate customer business challenges into agentic solutions that actually ship.

You're Our Forward Deployed Engineer If…

  • You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models

  • You have a degree in Computer Science or a related field

  • You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.

  • You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.

  • You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.

  • You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.

  • You can hold your own in a room with sales teams and customer architects.

  • You ship quality code and evaluate AI outputs with engineering rigor.

  • You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.

  • You thrive in the group chat that's building something, not just talking about it.

  • You're excited to travel ~25% of the time, working directly alongside customers.

Nice-to-Haves

  • Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)

  • Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns

  • Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)

  • Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments

LI*Y

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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the 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. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Salesforce London, England Office

9 Bishopsgate, London, United Kingdom, EC2N 3

Similar Jobs

6 Hours Ago
In-Office
London, Greater London, England, GBR
Mid level
Mid level
Artificial Intelligence • Legal Tech • Software
Embed with enterprise clients to design, build, and maintain production-grade integrations between Legora and customers' legal tech stacks. Own technical scoping, deliver reusable connectors and automation, debug production issues, and communicate technical feedback to Product, Engineering, Sales, and Customer Success to improve deployments.
Top Skills: APIsData PipelinesImanageNetdocumentsOidcRest ApisSAMLSharepointSsoWebhooks
2 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Productivity • Sales • Software
Partner with strategic customers to architect and deliver AI-driven solutions on monday.com. Lead end-to-end engagements from discovery with executives through design, prototyping, integrations, rollout, and adoption while feeding product insights back to engineering and product teams.
Top Skills: Ai ToolsAutomationsIntegrationsLlm WorkflowsMonday.ComScripting
8 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Provide technical expertise to deploy and integrate Shield AI's Hivemind autonomy software at customer sites. Develop AI/autonomy applications using the Hivemind SDK, troubleshoot API/software integration, deliver technical training, create documentation and training materials, collaborate with product and engineering teams on customer feedback, support sales with technical queries, and travel to customer sites (~30%).
Top Skills: APIsC++HivemindHivemind Enterprise Autonomy SdkPython

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account