Principal Ai Technology

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.

**Your day at NTT DATA**

The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.

**Key Responsibilities**:

- Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
- Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
- Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
- Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
- Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
- Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
- Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
- Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
- Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
- Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
- Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.

**Knowledge and Attributes**:

- Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
- Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
- Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
- Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
- Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
- Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.

**Academic Qualifications and Certifications**:

- Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Advanced degrees (MSc/PhD) in AI/ML fields preferred.
- TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
- Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.

**Required Experience**:

- Extensive experience in leading enterprise AI innovation and architecture initiatives.
- Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
- Experience working across multiple industries and large-scale IT organizations.
- Hands-on experience in AI/ML development, integration, and lifecycle management.
- Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.

**Workplace type**:
Hybrid Working

**About NTT DATA**

**Equal Opportunity Employer**

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