Forward Deployed Engineer

Forward Deployed Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Salesforce, Inc.

At a Glance

  • Tasks: Lead the delivery of innovative AI solutions and tackle complex technical challenges.
  • Company: Join a cutting-edge tech firm focused on transformative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with travel opportunities and a chance to shape future tech innovations.
  • Why this job: Make a real impact by designing bespoke AI solutions for strategic clients.
  • Qualifications: 5+ years in software delivery, strong coding skills, and AI expertise required.

The predicted salary is between 60000 - 80000 £ per year.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting‑edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end‑to‑end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands‑on leader, shaping technical strategy and ensuring successful outcomes.

Your Impact

  • Drive Tangible Outcomes through Hands‑On Implementation: Be responsible for the end‑to‑end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.
  • Build Transformative AI Solutions: Take primary ownership of designing, developing, and personally implementing high‑quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.
  • Engineer Bespoke Agentic AI Solutions: Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.
  • Data Configuration & Integration: Own the entire data lifecycle, from strategic design of data models to hands‑on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.
  • Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go‑to expert for unblocking progress.
  • Drive Agentforce Innovation: Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.
  • Become a Trusted Strategic Partner: Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.
  • Conduct Deep‑Dive Technical Debugging and Root Cause Analysis: Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviours to optimize performance, ensure reliability, and prevent recurrence of issues.
  • Lead Rapid Prototyping and Iteration: Quickly develop proofs‑of‑concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.
  • Implement and Enforce Best Practices: Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.

Required Qualifications

  • 5+ years of experience in a hands‑on, end‑to‑end delivery role for high‑quality, scalable production solutions in a professional environment.
  • Strong background in Computer Science or a related engineering discipline.
  • Expert‑level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex).
  • Extensive hands‑on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks.
  • Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
  • Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.
  • Demonstrated entrepreneurship, a 'get‑things‑done' attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives.
  • Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders.
  • Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects.
  • Ability to travel up to 60% of the time, as needed to customer sites.

Preferred Qualifications

  • Extensive experience with Salesforce Data Cloud and/or Agentforce platform.
  • Experience developing and deploying conversational AI solutions within highly regulated industries.
  • Expert‑level experience with Apex and/or Python coding languages in a professional setting.
  • Prior experience in a customer‑facing, hands‑on technical lead or architect role.
  • Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect).
  • Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds).
  • Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development.
  • Experience contributing to open‑source AI frameworks or libraries.

Forward Deployed Engineer employer: Salesforce, Inc.

As a Forward Deployed Engineer, you'll thrive in an innovative environment that champions cutting-edge AI solutions and fosters a culture of collaboration and continuous learning. Our commitment to employee growth is evident through mentorship opportunities and hands-on leadership roles, ensuring you not only contribute to transformative projects but also advance your career. Located in a vibrant tech hub, we offer a dynamic workplace where your insights directly shape the future of our Agentforce platform, making a tangible impact on our clients' success.

Salesforce, Inc.

Contact Details:

Salesforce, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineer

Join Local Tech Meetups

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Contribute to Open Source Projects

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Tap into Online Developer Communities

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We think you need these skills to ace Forward Deployed Engineer

AI Solutions Implementation
Complex Problem Solving
Technical Delivery Management
Programming Languages (JavaScript, Java, Python, Apex)
AI/LLM Technologies Integration
Data Modeling and Processing
Salesforce Platform Expertise

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 Salesforce, Inc..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Salesforce, Inc. 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 Salesforce, Inc.

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 Salesforce, Inc. 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.