AI Governance Field Engineer | Pre-Sales to Deployment

LatticeFlow; Zürich; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

25 days vacation

L&D coverage

Private accident insurance

Travel perks - Zurich, Sofia, Dublin

Running club & team events

Zusammenfassung

LatticeFlow is seeking a Forward Deployed Engineer to bridge our platform with enterprise AI environments in Zurich and beyond. You will own the full journey from technical pre-sales to hands-on deployment and ongoing success.

Bring a solid technical foundation in ML or software engineering, plus experience delivering PoVs, deploying enterprise software, and communicating with both engineers and executives.

Qualifikationen

• Solid technical foundation in ML, software engineering, or related field.
• Experience in executingPre-sales value demonstrations and scoping proofs-of-concept.
• Experience deploying or integrating enterprise software SaaS and on-premise.
• Strong ability to explain technical concepts to engineers and executives.
• Familiarity with AI governance, risk, or compliance is a plus.

Aufgaben

• Lead technical pre-sales engagements: demos, PoCs, and value proofs with the sales team.
• Own post-sale implementation end-to-end across SaaS and on-prem environments.
• Tailor platform components to customer AI stacks and risk requirements.
• Build integrations, scripts, and workflows to deliver rapid customer value.
• Translate AI governance and compliance needs into actionable solutions.
• Represent customer voice to product and engineering teams.
• Maintain technical relationships with stakeholders across GRC, AI, and engineering.

Kenntnisse

ML foundations

APIs

Pre-sales experience

Enterprise deployments

Communication skills

Tools

Software development tools

Jobbeschreibung

LatticeFlow is seeking a Forward Deployed Engineer to bridge our platform with enterprise AI environments in Zurich and beyond. You will own the full journey from technical pre-sales to hands-on deployment and ongoing success.

Bring a solid technical foundation in ML or software engineering, plus experience delivering PoVs, deploying enterprise software, and communicating with both engineers and executives.