Overview
In this senior, client-facing role you translate business needs into tangible AI and technology outcomes. You’ll work directly with customer stakeholders to shape opportunities, run rapid prototypes, and guide delivery paths that maximize measurable value. You’ll balance domain context with technical judgment to orchestrate the right capabilities while supporting adoption and continuous improvement. This is a hands-on, autonomous role in complex enterprise environments with a focus on credible, value-driven outcomes.
Pay / Benefits
- flexible work options
- learning and development opportunities
- continuous growth opportunities
- wellbeing support
- equity and diversity commitments
- Disability Confident Committed Employer (interview guarantees)
Responsibilities
- Partner with customers to understand objectives, challenges, and success measures
- Lead discovery, problem framing, and solution shaping to prioritise opportunities
- Define outcome hypotheses, success criteria, and customer ownership before progression
- Create or direct rapid prototypes and experiments to test critical value hypotheses
- Assess feasibility across AI, data, integration, architecture, security, privacy, and cost
- Shape validated opportunities into production-ready work with clear backlog and mobilisation plans
- Build trusted relationships with senior stakeholders and guide multiple teams across functions
- Collaborate across engineering, architecture, product, delivery, and operations to assemble required capabilities
- Analyze complex business and technical problems using structured problem-solving and evidence
- Identify high-value use cases by combining domain insights with technology capability and measurable impact
- Determine delivery routes (AI Studio, transformations, reuse, or bespoke) and maintain alignment to value
- Capture field feedback and reusable patterns to improve future delivery
- Contribute to internal IP, accelerators, reference architectures, and playbooks
- Provide guidance and mentoring to FDE candidates and delivery practitioners
- Role may involve working at customer sites, offices, or hybrid locations
Key requirements
- 8+ years of relevant experience in software or AI engineering, solution architecture, consulting, or related disciplines
- Significant experience with enterprise customers and senior stakeholder credibility
- Proven track record leading discovery, problem framing, and complex customer workstreams in ambiguous settings
- Experience creating prototypes or experiments to validate assumptions
- Experience delivering enterprise tech solutions involving architecture, data, integration, security, deployment, and production constraints
- Ability to apply domain context to customer workflows, KPIs, and value drivers
- Experience linking technology decisions to measurable outcomes such as value, adoption, or efficiency
- Collaborative experience with product, engineering, platform, and delivery teams to determine solutions and delivery routes
- Ability to evaluate build, buy, reuse, product, partner, and platform options pragmatically
- Experience operating in complex enterprise environments with dependencies across governance, data, and organization
- Self-driven, with sound judgment, influence, and momentum through uncertainty
- Experience mentoring colleagues and developing practitioners
- strong client emotional intelligence
- outcome leadership
- effective stakeholder influence
- AI, data, integration, architecture, security, privacy
- Responsible AI and ethical considerations
- operational readiness and cost considerations
AI Forward Deployed Engineer in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.
