AI Solution Engineer, SLED for North America Job Details | NTT DATA Services

NTT DATA is a technology services company focused on enterprise-scale AI, cloud, security, connectivity, data centers, and application services. The AI Solution Engineer will design, build, test, and deploy scalable artificial intelligence, machine learning, and generative AI solutions, while supporting client delivery, proofs of concept, reusable assets, sales efforts, and responsible AI practices.

Responsibilities:

• Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains
• Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools
• Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning
• Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions
• Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets
• Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms
• Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations
• Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components
• Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks
• Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design
• Collaborate with security, privacy, legal, compliance, and architecture teams to ensure AI solutions meet enterprise and client requirements
• Participate in testing, debugging, performance tuning, deployment, documentation, and operational handoff
• Stay current on emerging AI technologies, frameworks, tools, and engineering practices, and translate relevant innovations into practical solutions

Requirements:

• • Bachelor's degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience
• • 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting