AI Principal Architect

Salary: £63,000 - 103,000 per year

Requirements:

• 12+ years of experience in enterprise architecture, solution architecture, technology consulting, systems integration, software engineering, data architecture, or related roles.
• 5+ years of experience designing or delivering AI, data science, machine learning, advanced analytics, or intelligent automation solutions.
• 2+ years of hands-on or architecture experience with GenAI, LLMs, RAG, AI agents, orchestration frameworks, or enterprise AI platforms.
• Deep understanding of AI architecture considerations, including data readiness, model selection, security, responsible AI, governance, integration, scalability, observability, and operations.
• Experience leading architecture for complex client pursuits, large transformation programs, or multi-tower technology solutions.
• Bachelors degree or equivalent work experience.
• Preferred: Masters degree in computer science, engineering, data science, AI, or a related field.
• Preferred: Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications.
• Preferred: Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling.
• Preferred: Strong executive presence, technical storytelling, mentorship, stakeholder influence, and ability to simplify complex concepts for business and technical audiences.
• Preferred: Ability to travel as required for client and internal engagements.

Responsibilities:

• Lead architecture for complex, strategic, or high-value AI pursuits from discovery through proposal, negotiation, and win.
• Act as a senior technical advisor to client executives, CTO/CIO stakeholders, and internal pursuit teams.
• Translate business problems into enterprise-grade AI solution designs, including AI, data, model, agent, integration, security, governance, and operating model considerations.
• Shape solution strategy across our capabilities, including consulting, applications, data, cloud, BPO, managed services, and partner technologies.
• Create reusable architecture patterns, technical points of view, accelerators, and differentiated solution narratives.
• Conduct technical solution reviews, challenge assumptions, and reduce delivery risk before deals are committed.
• Guide proof-of-concept and MVP design to ensure prototypes can scale into production programs.
• Mentor AI Solution Architects and support capability-building across our global AI architecture community.
• Surface architecture gaps, delivery risks, and emerging technology needs to our AI GTM leadership.
• Support pursuit deal volume, pursuit win rate, utilization or billability, and the quality and reuse of architecture patterns, solution reviews, technical narratives, and risk mitigation guidance.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• Cloud
• CTO
• Databricks
• GCP
• Support
• Kubernetes
• Machine Learning
• MLOps
• RAG
• Security
• Snowflake
• Architect
• Network

More:

We are NTT DATA, a $30+ billion business and technology services and AI and digital infrastructure leader, co-innovating solutions with clients and partners globally for business and societal impact. We serve 75% of the Fortune Global 100 with experts in over 70 countries and invest over $3 billion annually in R&D as part of NTT Group. We offer tailored benefits that support physical, emotional, and financial wellbeing, continuous learning and development opportunities, and flexible work options. We are a Global Top Employer and an equal opportunities employer committed to equity, diversity, inclusion, and reasonable adjustments for candidates who need them.

last updated 37 week of 2026