Production experience required. Builder mindset non-negotiable.
What You'll Actually Be Doing
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 Person If...
Total experience of 8-12years and with latest 5+ 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.
Even Better If...
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
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.
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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.
