Associate AI Engineer at NTT Ltd.

Your day at NTT DATA

• The Associate AI Engineer is an entry level subject matter expert, responsible for assisting with the adoption of AI Innovations and Technology within the organization. 
• The primary responsibility of this role is to learn the skills to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.
• The Associate AI Engineer will takes guidance from more experienced members of the team.

Key Responsibilities

• Learns the skills to proactively support the evaluation, testing, and benchmarking of emerging AI vendor solutions against enterprise requirements.
• Supports proof-of-concept initiatives by assisting with hands-on testing of AI platforms and documenting findings.
• Learns how to apply structured methodologies for assessing AI technologies, including accuracy, scalability, compliance, and integration potential.
• Assists with preparing reports, comparisons, and recommendations that inform strategic AI investment decisions.
• Supports the team in systematically analyzing vendor claims, model outputs, and performance benchmarks.
• Learns to create and execute test cases and scenarios to evaluate vendor AI solutions across different use cases.
• Assists in ensuring testing coverage and reducing bottlenecks in AI project delivery through organized, repeatable evaluation processes.
• Receives guidance to prepare technical and non-technical summaries of evaluation results for business stakeholders and leadership.
• Keeps updated with industry standards, best practices, and evolving regulatory frameworks (e.g., EU AI Act) that influence AI adoption.
• Performs any other related tasks to support AI solution evaluations and project delivery.

Knowledge and Attributes

• Some familiarity with AI concepts, including machine learning, natural language processing, and generative AI.
• Demonstrates ability to thrive in a dynamic, fast-paced environment where multiple vendor solutions are evaluated concurrently.
• Curiosity and desire to learn structured evaluation techniques for AI technologies.
• Strong analytical thinking with the ability to compare different solutions and identify strengths/weaknesses.
• Demonstrates understanding of enterprise IT environments and how AI tools must integrate within them.
• Communicates technical findings clearly and fluently to both technical and business stakeholders.
• Familiarity with benchmarking, model testing, and basic programming to support evaluation activities.
• Self-driven and detail-oriented, while also able to collaborate effectively within a team.
• Desire to build foundational expertise in AI evaluation, governance, and adoption strategies.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Relevant programming or AI/ML certifications preferred.
• Agile certification preferred.

Required Experience

• Entry-level experience in AI/ML, data science, or technology evaluation, preferably gained in a corporate environment or through academic/industry projects.
• Familiarity with machine learning concepts, model evaluation methods, and unstructured data analytics.
• Exposure to programming languages (Python, R, etc.) for testing and prototyping AI solutions.
• Some experience with evaluating or working with AI platforms and vendor tools is advantageous.
• Entry-level experience in benchmarking, testing, or analyzing algorithms and data outputs.
• Familiarity with preparing technical reports or visualizations to communicate findings.