Forward Deployed Engineer

About the Role

We are looking for a Forward Deployed Engineer to bridge the gap between an AI operations platform and the real-world systems used by enterprise customers. You will work directly with clients to understand their processes technical constraints and business goals then design and deliver practical AI-powered solutions within their existing environment.

This is a highly commercial client-facing engineering role. You will act as both a solution architect and a hands-on engineer translating customer requirements into working integrations AI agents and measurable business outcomes.

• Lead technical discovery with enterprise customers including C-level and senior business stakeholders.

• Understand customer workflows systems data sources and operational challenges.

• Scope implementation projects define success criteria and translate business requirements into technical solutions.

• Design and build integrations between the AI platform and customer systems using Python or JavaScript SQL APIs JSON and webhooks.

• Develop configure and deploy LLM-based agents and automation workflows in production environments.

• Work with AI evaluation methods retrieval systems MCP and agent frameworks to ensure solutions are reliable and fit for purpose.

• Handle real-world deployment constraints including legacy systems incomplete documentation limited APIs and changing customer requirements.

• Communicate technical decisions risks and trade-offs clearly to both technical and non-technical stakeholders.

• Measure and communicate the business impact of delivered solutions including efficiency gains cost savings and operational improvements.

• Act as a trusted technical advisor throughout implementation and post-deployment engagement.

• 5 years of experience in software engineering solutions engineering technical consulting or a similar customer-facing technical role.

• External commercial experience working with named enterprise customers of a software product including scoping work with economic buyers.

• Experience working in a venture-backed startup or scale-up ideally from Seed to Series B or in a genuine high-growth enterprise environment.

• Hands-on experience with Python or JavaScript SQL APIs JSON and webhooks.

• Applied AI experience including practical work with LLMs agent frameworks evaluations MCP or retrieval-based systems.

• Ability to move comfortably between technical implementation and commercial discussions.

• Strong communication skills and the ability to explain complex technical concepts in business terms.

• A practical outcome-driven approach to problem solving.

• Full professional fluency in English.

• A senior high-impact role shaping how enterprise customers adopt and operationalize AI.

• Direct exposure to senior stakeholders and meaningful ownership of customer outcomes.

• The opportunity to work on complex real-world AI deployments rather than isolated proofs of concept.

• A collaborative environment that values commercial judgment technical versatility and practical execution.