Forward Deployed Engineer

In this role you embed with client engineering and business teams to deploy AI platforms inside enterprise environments, owning time-to-value, reliability, adoption, and scalability. You work across platform vendors to design, govern, and operationalise AI architectures from data to workflow integration. You transform ambiguous business problems into production-ready systems through rapid prototyping and scalable delivery. You build reusable patterns and accelerators that the client owns after engagement. This is a high-impact, client-embedded role shaping AI-led transformations at scale.

• Embed with client teams to deploy, scale, and operationalise AI platforms in enterprise environments (Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, Palantir)
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, scalability
• Prototype rapidly from problem to production-ready system (days to prototype, weeks to production)
• Design and govern AI architectures across the entire enterprise stack (identity, data, security, governance, platform, workflow)
• Build reusable patterns, playbooks, and accelerators for client ownership after engagement and codify learnings for scale

• Cloud-native systems experience (APIs, microservices, containerization, serverless)
• Deep expertise in agentic AI solutions (agents, orchestration, context engineering, RAG, workflows) in production
• Experience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines
• Proven experience leading software engineering teams and delivering in client-embedded contexts
• Ability to articulate business value and quantify impact for executive stakeholders
• Experience presenting to senior client stakeholders (CTO, CFO, CISO) and building trust

• Stakeholder communication
• Leadership and people management
• Delivery ownership and accountability
• Cloud-native architectures (APIs, microservices, containers, serverless)
• Agentic AI capabilities (agents, orchestration, context engineering, RAG, workflows)
• AI platforms and multi-provider pipelines (OpenAI, Claude, Vertex AI)