Forward Deployed Engineer

Salesforce; Greater London; On-site; GBP 75,000 - 95,000; Full time

Job summary

MOBOLISE is seeking a Forward Deployed Engineer in Greater London to lead the design and delivery of AI solutions for strategic clients. You will drive end-to-end implementation, ensuring impactful outcomes while collaborating directly with customers.

The ideal candidate has 5+ years of experience in building scalable solutions and a strong background in programming languages such as JavaScript, Java, Python, and Apex. Knowledge of the Salesforce platform is essential for this role.

Qualifications

• 5+ years of experience in building scalable production solutions.
• Strong proficiency in programming languages like JavaScript, Java, Python, and Apex.
• Extensive experience with deploying AI technologies and integrating LLMs.

Responsibilities

• Lead design, development, and delivery of AI solutions for clients.
• Deliver end-to-end AI solutions and troubleshoot issues.
• Work directly with customers to create custom intelligent agents.

Skills

AI solutions delivery

JavaScript

Java

Python

Apex

Data modeling

Salesforce platform

Prompt engineering

Education

Computer Science or related engineering discipline

Tools

Salesforce Data Cloud

Snowflake

Databricks

BigQuery

Job description

Job Summary

As a Forward Deployed Engineer at Salesforce, you will lead the design, development, and delivery of AI solutions for strategic clients. You’ll work closely with customers to build custom intelligent agents on the Agentforce platform, architect production systems, and ensure successful, high‑impact outcomes.

Your Impact

• Drive Tangible Outcomes through Hands‑On Implementation: Deliver complex AI solutions end‑to‑end, write critical code, configure systems, and troubleshoot issues while guiding junior team members.
• Build Transformative AI Solutions: Own the design, development, and deployment of scalable production systems powered by AI and LLMs on the Salesforce platform.
• Engineer Bespoke Agentic AI Solutions: Work directly with customers to create custom intelligent agents that meet unique business needs and integrate with existing ecosystems.
• Data Configuration & Integration: Manage the entire data lifecycle, from data model design to building efficient pipelines and integration strategies for advanced AI applications.
• Proactively Remove Technical Blockers: Identify, analyze, and resolve complex technical challenges during all phases of delivery, from data integration to model deployment.
• Drive Agentforce Innovation: Push the Agentforce platform to its limits, leading the development of bespoke agents and influencing future product enhancements.
• Become a Trusted Strategic Partner: Embed with client teams, grasp their goals, translate needs into technical requirements, and lead technical discussions.
• Conduct Deep‑Dive Technical Debugging and Root Cause Analysis: Perform detailed debugging of system interactions, data flows, and AI model behaviors to optimize performance.
• Lead Rapid Prototyping and Iteration: Quickly develop proofs‑of‑concept and MVPs, coding alongside client teams to demonstrate capability and gather feedback.
• Implement and Enforce Best Practices: Advocate and apply engineering best practices for code quality, scalability, security, and maintainability across solutions.

Required Qualifications

• 5+ years of hands‑on, end‑to‑end delivery experience building 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 (JavaScript, Java, Python, Apex).
• Extensive hands‑on experience deploying AI/LLM technologies, integrating LLMs, applying orchestration frameworks (e.g., LangChain, LlamaIndex), and prompt engineering.
• Deep expertise in data modeling, processing, integration, and analytics with enterprise data platforms (Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
• Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.
• Demonstrated entrepreneurial mindset, a “get‑things‑done” attitude, and fast, impactful delivery.
• Exceptional collaboration, communication, and presentation skills, both written and verbal.
• 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

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

Equal Opportunity & Accessibility

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. 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. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme.