AI Forward Deployed Engineer
Role Overview
The Forward Deployed Engineer is a senior, customer-facing practitioner connecting customer needs, measurable business outcomes, and technology solutions.
The role works with customer and internal teams to shape opportunities, remain connected through implementation and adoption, and guide improvement using customer feedback and production evidence.
The role calls for independent work in ambiguous enterprise environments, hands-on problem-solving, stakeholder influence, and focus on measurable value and scalable delivery.
Key Skills for This Role
Full Job Posting
Role overview
The Forward Deployed Engineer is a senior, customer-facing practitioner connecting customer needs, measurable business outcomes, and technology solutions.
The role works with customer and internal teams to shape opportunities, remain connected through implementation and adoption, and guide improvement using customer feedback and production evidence.
The role calls for independent work in ambiguous enterprise environments, hands-on problem-solving, stakeholder influence, and focus on measurable value and scalable delivery.
Customer discovery and solution shaping
- Understand customer objectives, workflow challenges, desired outcomes, and success measures.
- Lead discovery and assessment to turn ambiguous needs into clear, prioritised opportunities.
- Define outcome hypotheses, success measures, assumptions, and customer ownership before significant investment or progression.
- Create or direct prototypes, experiments, proof points, and demonstrations to test critical assumptions.
- Assess feasibility across AI, data, integration, architecture, security, privacy, Responsible AI, operational readiness, and cost.
Delivery and collaboration
- Shape validated opportunities into production-ready work, including workflow, architecture direction, backlog, dependencies, estimates, and mobilisation requirements.
- Coordinate internal engineering, architecture, product, delivery, operations, industry, transformation, and account teams.
- Maintain continuity through implementation and adoption by validating decisions, assumptions, feedback, and alignment with intended value.
- Capture customer feedback, implementation learning, defects, feature requests, and reusable patterns.
- Contribute to internal intellectual property, accelerators, reference architectures, playbooks, reusable assets, and continuous improvement.
- Provide guidance, mentoring, and knowledge sharing to FDE candidates and delivery practitioners.
Experience and capabilities
- Typically 8 or more years of relevant experience in software or AI engineering, solution architecture, consulting, customer engineering, product engineering, industry transformation, technology delivery, or related disciplines; equivalent demonstrated depth is considered.
- Significant direct enterprise customer experience and credibility with business, technical, and senior stakeholders.
- Experience independently leading discovery, problem framing, solution shaping, or complex customer workstreams.
Work location
- The role may require work at customer sites, company offices, or hybrid delivery locations depending on engagement needs.
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