Forward Deployed Engineer

Momentum; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Travel opportunities

Descripción de la vacante

Salesforce is seeking Forward Deployed Engineers to design, build, and deploy agentic AI solutions inside enterprise environments. You will join a delivery team with a Deployment Strategist to co-create solutions that go live from day one.

You’ll work with customers ranging from large strategic accounts to multiple clients, building production-grade AI workloads and dashboards while shipping measurable business impact.

Formación

• 3+ years of software engineering or technical delivery experience.
• Degree in Computer Science or related field.
• Hands-on with LLMs and prompt engineering.
• Experience with production systems and customer-facing delivery.

Responsabilidades

• Develop AI agents and experiences in production environments.
• Design agent intelligence including prompts and tool calls.
• Own end-to-end components from architecture to deployment.
• Build data pipelines and dashboards for deployment health.
• Collaborate with customers and partners to move from sketch to deployable MVPs.

Conocimientos

Software engineering

Technical delivery

Client-facing experience

AI / LLMs

Frontier tech stack

Educación

BS in Computer Science

Herramientas

Snowflake

Databricks

LangChain

Descripción del empleo

The Experience

Production experience required. Builder mindset non-negotiable.

Salesforce is hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customization, and full-stack deployment — shipping solutions customers depend on.

The Builder Experience

• AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow.
• Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
• Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
• Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.

What You'll Actually Be Doing

• Develop AI agents and experiences that take real actions for real organizations. 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...

• You have 3+ 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