Forward Deployed Engineer

Forward DeployedEngineer - FDT (AI-fluent profile shared across all ValueStreams)

Level /Location: GCB4/5 typical - Various - co-locatedwith the FDT Tech

Reporting& stakeholders: Solid line into FDT TechLead / Engineering Lead. Strong day-to-day partnership with Product Owner(s),business SMEs and delivery pod leads on scope, prioritisation and trade-offs.Close collaboration with platform teams (e.g., AI platform / Data platform), architecture, and operations/support teams to ensure productionreadiness. Engage with tooling/platform owners to provide structured feedbackand reusable patterns from field delivery.

Scope &authority: Accountable for shaping, building and delivering prototypes and end-to-end thin-slice solutions close to users,including UI, APIs, integrations and automation workflows. Owns local technicaldecisions required to deliver outcomes at pace, within approved architecturepatterns, engineering standards, controls and governance frameworks. Authorityincludes recommending solution patterns, implementing integrations/automations,and escalating material risks, dependencies or control gaps .

Sit close tousers (business teams, delivery pods, transformation squads) as the accountableengineer for rapid prototyping and delivery of end-to-end solutions. Build and iterate production-viable prototypes and thin-slice solutions spanning UI,APIs, integrations and automation-turning real user needs into working softwarequickly, safely and repeatably. This role bridges product intent and engineering execution, accelerating time-to-value while ensuring solutions aresecure, supportable and aligned to enterprise standards and platforms.

• User-adjacent delivery & rapid prototyping - Work directly with users to understand workflows and pain points; translate needs into prototypes, demos and thin-slice implementations that validate value quickly and reduce delivery risk.
• End-to-end solution build (UI/API/integration/automation) - Design and implement complete solutions across front end, back end, integrations and automation, using approved platforms and patterns to deliver measurable outcomes.
• Solution shaping & technical options - Propose pragmatic technical approaches, MVP scopes and delivery sequencing; balance speed with security, resilience, and maintainability.
• Integration & automation enablement - Build and configure integrations (systems/APIs/events) and automate operational processes(workflows, controls, reporting) to remove manual steps and improve reliability.
• Engineering standards & controls adherence - Ensure solutions meet engineering standards, secure coding practices, testing, and control requirements; raise risks early and embed controls by design.
• Production readiness & handover - Drive operational readiness including logging/monitoring, runbooks, support handover, and non-functional considerations; ensure solutions can be operated safely at scale.
• Reuse and platform alignment - Prefer reuse over bespoke; contribute reusable components, patterns, templates and reference implementations back to engineering/platform communities.
• Feedback loop to platforms - Capture field constraints and needs; convert into actionable platform/tooling feedback (user stories, defects, enhancements, benefits) to improve enterprise capabilities.
• Stakeholder management close to delivery - Communicate progress, trade-offs, and risks clearly to business and technology stakeholders; keep momentum and decisions unblocked.

Success Profile - criticality for this role Criterion Criticality Experience

• Delivering end-to-end solutions (UI,APIs, integrations, automation)
• Working in user-adjacent / ambiguous delivery environments
• Secure engineering, testing and production readiness in enterprise contexts
• Integration delivery and dependency management
• Rapid prototyping and iterative delivery with users

Capability

• Customer / Client Centricity
• Engineering discipline & quality assurance
• Leading simplification and automation at solution level
• Judgment and decision-making
• Influencing and stakeholder alignment
• Championing innovation through rapid iteration
• Strategic technical thinking
• Inspirational Leadership
• Talent stewardship

Personal Attributes

• Leadership Span

Calibration rationale: This is a hands-on,user-adjacent engineering role optimised for speed-to-value and end-to-enddelivery. Core capabilities around engineering discipline, customer centricity,integration delivery and pragmatic decision-making are Essential. Broaderstrategic leadership and talent stewardship are Desirable, as the rolecontributes to scaling patterns and mentoring but does not typically ownenterprise-wide strategy.

Experience - Required

• Proven experience delivering end-to-end software solutions, covering UI, APIs/services, and integration with upstream/downstream systems.
• Strong ability to rapidly prototype, iterate with users, and then harden solutions towards production readiness.
• Experience building integrations and automation (e.g., workflows, orchestration, scripting, CI/CD automation) in enterprise environments.
• Working knowledge of secure engineering practices, testing, observability (logs/metrics/traces), and operational handover.
• Experience collaborating with product and business stakeholders to shape MVP scope and manage trade-offs.
• Comfortable operating in ambiguous environments with shifting requirements, while maintaining delivery discipline and transparency.

Experience - Preferred

• Experience delivering within regulated/countered environments (risk, audit, security, data handling) and navigating governance pragmatically.
• Experience with platform-based delivery and reuse (shared services, APIs, integration platforms, enterprise tooling), including knowing when to reuse vs build.
• Experience with modern UI frameworks, API design, event-driven or integration patterns, and automation/orchestration tooling.
• Experience working in Value Streams / product-led delivery, transformation pods, or forward-deployed/embedded engineering models.
• Experience contributing reusable accelerators (templates, reference apps, integration patterns) and coaching other engineers.
• User-obsessed builder; stays close to users, validates fast, and focuses on measurable outcomes over perfect paperwork.
• Pragmatic engineering discipline; moves quickly without skipping fundamentals (security, testing, operability, controls).
• End-to-end ownership mindset; takes accountability from discovery through build, release and handover; doesn't throw work "over thewall".
• Bias for simplification and automation; eliminates manual steps and complexity, automates repeatable tasks wherever sensible.
• Clear communicator under pressure; explains options, trade-offs and risks in plain language; keeps stakeholders aligned.
• Collaborative and inclusive; works well across roles and backgrounds, welcomes different perspectives to get to better solutions faster.
• Proactive risk management; identifies integration, dependency, data and control risks early; escalates with options, not surprises.

Derailers / red flags

• Builds prototypes that cannot be industrialised, creating rework or hidden technical debt.
• Ignores security, controls or operational needs in the name of speed; pushes fragile solutions into production pathways.
• Over-builds or over-engineers instead of delivering thin-slice value and iterating.
• Creates bespoke point solutions where reusable platforms/patterns exist.
• Fails to manage dependencies or communicate risks early, causing delivery churn and stakeholder surprises.
• Focuses on delivery completion without ensuring supportability, monitoring and clear ownership.

• Consistent delivery of user-validated prototypes that convert into production-viable thin-slice solutions with clear value realized.
• Multiple end-to-end solutions delivered(UI/API/integration/automation) that measurably improve user workflows, reduce manual effort, or increase reliability.
• Demonstrable reduction in cycle time from idea to working software through embedded delivery and rapid iteration loops.
• Reusable components, patterns or templates contributed back to the Value Stream/platform communities, reducing duplication across teams.
• Strong production readiness discipline established (testing, security, observability, runbooks, handover), with reduced post-release incidents and rework.
• Clear, structured feedback provided to platform/tooling teams, influencing roadmap improvements based on field delivery realities.
• Recognised as a dependable embedded engineering partner who unblocks delivery and raises overall engineering maturity.