Senior Forward Deployed Engineer

About Salesforce Salesforce is the 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.

About the Role Technical depth required. Architectural judgment expected. Salesforce is hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

Responsibilities

• Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
• AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
• Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.
• Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
• Build and Deploy: Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers - from architecture decisions through production handoff.
• Design and Ship Systems: Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments.
• Data Lifecycle Ownership: Own the data lifecycle - model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
• Problem Resolution: Resolve the technical blockers that other engineers can't - data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
• Performance Dashboards: Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
• MVP Development: Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
• Codify Learnings: Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
• Mentorship: Mentor other Engineers through code reviews, pair sessions, and shared work. Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
• Field Insights: Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
• Customer Collaboration: Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

What You'll Build Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers - from architecture decisions through production handoff. Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms. Resolve the technical blockers that other engineers can't - data integration failures, model deployment issues, orchestration breakdowns, performance regressions. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements. Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time. Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from. Mentor other Engineers through code reviews, pair sessions, and shared work. Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed. Surface field insights directly to Product and Engineering. Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

Qualifications

• 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
• Degree in Computer Science or a related field.
• Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
• Integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
• Deep experience in data modeling, processing, and analytics with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
• Bringing deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• Entrepreneurial, get-things-done mindset focused on fast, impactful delivery - and the judgment to know when "fast" is the wrong call.
• Mentored technical talent and created reusable assets - frameworks, playbooks, internal tooling.
• Communicates clearly and credibly with engineering peers, customer architects, and executive stakeholders.
• Actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
• Excited to travel 25% of the time, embedded with customer engineers.

Nice-TO-Haves

• Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
• Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
• Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
• Track record of influencing enterprise software product roadmaps through field engineering insight.
• Open-source contributions, published technical writing, or conference presentations.

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

Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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 . click apply for full job details