AI Principal Architect

Salary: £55,000 - 95,000 per year

Requirements:

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

Responsibilities:

• We lead architecture for complex, strategic, or high-value AI pursuits from discovery through proposal, negotiation, and win.
• We act as a senior technical advisor to client executives, CTO/CIO stakeholders, and internal pursuit teams.
• We translate business problems into enterprise-grade AI solution designs, including AI, data, model, agent, integration, security, governance, and operating model considerations.
• We shape solution strategy across our capabilities, including consulting, applications, data, cloud, BPO, managed services, and partner technologies.
• We create reusable architecture patterns, technical points of view, accelerators, and differentiated solution narratives.
• We conduct technical solution reviews, challenge assumptions, and reduce delivery risk before deals are committed.
• We guide proof-of-concept and MVP design to ensure prototypes can scale into production programs.
• We mentor AI Solution Architects and support capability-building across our global AI architecture community.
• We surface architecture gaps, delivery risks, and emerging technology needs to AI GTM leadership.

Technologies:

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

More:

At NTT DATA, we have endless opportunities to think big, act bold, and take ownership. We are a $30+ billion business and technology services, 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, have experts in over 70 countries, and encourage experimentation while recognizing great work. We are proudly a Global Top Employer and part of NTT Group, which invests over $3 billion annually in R&D. We offer tailored benefits that support physical, emotional, and financial wellbeing, continuous learning and development opportunities, and flexible work options. We are an equal opportunities employer committed to fair treatment, equity, diversity, and inclusion, and we actively support applicants with disabilities and long-term health conditions. We guarantee an interview to applicants who declare a disability during the application process and meet the minimum requirements for the role.

last updated 34 week of 2026