2,136,837open jobs
136,440companies
254,728added this week
Browse all
Salary
≈ $119k – $237k per year (Estimated)
Location
In office (London)
Seniority
Middle · 3+ years exp
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Aug 27, 2026. Salesforce scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Salesforce is an American enterprise software company founded in 1999 that pioneered delivering business applications over the internet rather than as installed software. Its Customer 360 platform brings sales, service, marketing, commerce and analytics onto shared customer data, extended by the Slack collaboration suite, the Tableau analytics business and the MuleSoft integration layer. Headquartered in San Francisco, the company has moved its product strategy toward autonomous agents through Agentforce and the Data Cloud, and it remains the largest customer relationship management vendor in the world by revenue share.

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

Sales

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.

Forward Deployed Engineer - Agentforce Orchestration

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 andbe your best, and our AI agents accelerate your impact so you cando 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,136,837 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Remote, many countries
Similar stack
Same company
London
In office · 5+ years exp · United Kingdom
DevOps
Azure
AWS
Linux
IoT
MQTT
OPC UA
Node-RED
Apply
IT Consultant 1 day ago
$833k – $898k per year · Hybrid · 5+ years exp · Romford
DevOps
Terraform
Ansible
Azure DevOps
CloudFormation
Azure
CI/CD
Jenkins
Git
AWS
Docker
Kubernetes
Linux
Apply
Hybrid · Full-Time · Coventry
Databases
Snowflake
SAP BW
Analytics
Power BI
Management
Power Apps
Apply
$95k – $114k per year · Remote (United Kingdom, Netherlands) · Full-Time
Cybersecurity
Zero Trust
SIEM
Apply
In office · 2+ years exp · London
Apply
Remote (North America) · 5+ years exp
DevOps
Azure
AWS
Linux
IoT
MQTT
OPC UA
Node-RED
Apply
Remote (United Kingdom) · Full-Time · 8+ years exp · Manchester · Frankfurt am Main · Amsterdam · London · Paris
DevOps
GCP
VMWare
Azure
CI/CD
AWS
Docker
Kubernetes
Akamai
eBPF
Cybersecurity
GDPR
Apply
Remote (EMEA) · Full-Time · 10+ years exp · Bachelor's Degree · Barcelona · Athens
Apply
Remote (LATAM) · Full-Time
Python
JavaScript
AI/ML
LangChain
LlamaIndex
AI Agents
RAG
Agentic Workflows
DevOps
GCP
Azure
AWS
Apply
Data Engineer II 1 month ago
≈ $41k – $110k per year (Estimated) · Hybrid · Full-Time · 3+ years exp · Bachelor's Degree · Mexico City
Python
SQL
AI/ML
Copilot
Cursor
ChatGPT
Claude Code
Gemini
OpenAI
Anthropic
DevOps
Rest API
GCP
Azure
Git
AWS
Analytics
ETL/ELT
Apply
$170k – $220k per year · Equity · Remote (United States) · Bachelor's Degree
Python
Rust
Python
pySpark
Databases
Databricks
AI/ML
Spark
vLLM
TensorFlow
PyTorch
LLM
Time Series
DevOps
CI/CD
Apply
$167k – $226k per year · Equity · In office · Full-Time · 6+ years exp · Master's Degree · Boston
Python
Java
C++
C++
TensorFlow C++
AI/ML
Transformers
TensorFlow
PyTorch
Machine Learning
Apply
≈ $103k – $182k per year (Estimated) · Remote (United Kingdom) · Full-Time · 4+ years exp · PhD · London
Python
JavaScript
AI/ML
Prompt Engineering
AI Agents
Agentforce
Apply
≈ $125k – $228k per year (Estimated) · In office · Full-Time · 3+ years exp · PhD · London
AI/ML
AI Agents
Agentforce
Management
Agile
Apply
≈ $110k – $195k per year (Estimated) · In office · Full-Time · PhD · London
AI/ML
AI Agents
PyTorch
Agentforce
Management
Agile
UML
Apply
≈ $127k – $231k per year (Estimated) · In office · Full-Time · 5+ years exp · Bachelor's Degree · London
Apex
AI/ML
AI Agents
Agentforce
Apply
≈ $60k – $162k per year (Estimated) · In office · Full-Time · Bachelor's Degree · Dublin
AI/ML
AI Agents
Agentforce
Apply
Creative Director 1 day ago
Hybrid · 8+ years exp · London
Apply
≈ $32k – $51k per year (Estimated) · Hybrid · Full-Time · London
Apply
Hybrid · Full-Time · Bachelor's Degree · London
Apply
Hybrid · London
Databases
Databricks
AI/ML
Anthropic
DevOps
AWS
Apply
Hybrid · 12+ years exp · London
Apply
See all jobs
This is one of many
2,136,837 more open roles from verified company boards, updated every day.