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we are 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.
The Senior Builder Experience
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 our company 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 AIproduct 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.
What You'll Actually Be Building
Own end-to-end build and deployment of agentic AI solutions for our company'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. Your reference implementations become the basis for how other Builders approach similar problems.
Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across our company 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. These problems are routed to you because of your track record of solving them.
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. Most of your influence on developing engineers happens inside the same codebases you're building in.
Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.