AI Engineering Associate Director (Plano, TX, US)

NTT DATA is seeking an AI Engineering Associate Director to lead the design, development, and deployment of AI solutions across various industries, with a focus on healthcare, life sciences, and the public sector. The role involves collaboration with cross-functional teams and client stakeholders, emphasizing responsible AI practices and innovative engineering.

Location: Remote (US)

Salary: $151,400 - $202,500

Responsibilities

• Design, develop, and implement AI and generative AI solutions across healthcare, life sciences, and public sector domains.
• Build AI-enabled applications, services, APIs, chat interfaces, automation workflows, dashboards, and decision-support tools.
• Develop solutions using modern AI engineering patterns such as retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, and natural language processing.
• Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical solutions.
• Build and maintain data pipelines, integration services, feature workflows, knowledge bases, and datasets.
• Integrate AI models and services from cloud providers, open-source frameworks, and enterprise platforms.
• Create proofs of concept, prototypes, demos, and technical assets to demonstrate feasibility and value.
• Support sales efforts through demos, technical walkthroughs, proposals, and reusable components.
• Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and playbooks.
• Apply responsible AI practices including evaluation, bias testing, explainability, monitoring, and human-in-the-loop design.
• Collaborate with security, privacy, legal, and compliance teams to meet enterprise and client requirements.
• Participate in testing, debugging, deployment, documentation, and operational handoff.
• Stay current on emerging AI technologies and incorporate innovations into solutions.

Requirements

• Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or 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.
• Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications.
• Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration.
• Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks.
• Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud.
• Experience working with APIs, databases, data pipelines, structured and unstructured data, and enterprise integration patterns.
• Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment.
• Ability to communicate solutions clearly to technical and non-technical audiences.
• Strong collaboration skills and experience working with cross-functional teams.

Benefits

• Competitive salary range of $151,400 - $202,500.
• Company benefits including medical, dental, and vision insurance, flexible spending or health savings accounts, life and AD&D insurance, short and long-term disability, paid time off, employee assistance programs, 401k with company match, and additional voluntary or legally-required benefits.

Additional Information

• This is a remote role to be located in the United States.
• The position may require in-office attendance depending on client needs and location.
• The employer emphasizes flexibility and adherence to legal and ethical standards, including anti-discrimination policies.