AI Engineering Associate Director (Plano, TX, US)

About the Role

Day-to-day responsibilities will include contributing to client delivery, internal accelerators, reusable assets, proofs of concept, demos, and technical content that support both sales and implementation efforts. The role requires a hands-on engineer who can move from experimentation to production-minded engineering, balancing speed, technical quality, responsible AI practices, and business value.

NTT DATA is committed to fostering an inclusive and adaptable work environment, making this role an excellent fit for individuals who value collaboration and innovation. The company's forward-thinking approach to AI and remote work positions it as a leader in the industry, offering a unique opportunity for professional growth and development.

What You Will Do

• 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.

What We Are Looking For

• 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.
• 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.
• Strong understanding of cloud services, APIs, automation, and modern software engineering practices.
• Ability to work collaboratively in a remote environment and contribute to internal accelerators and reusable assets.
• Excellent problem-solving skills and the ability to balance technical quality with business value.

Nice to Have

• Experience with agile development methodologies and version control systems like Git.
• Knowledge of security, privacy, legal, and compliance principles as they apply to AI solutions.
• Familiarity with emerging AI technologies, frameworks, tools, and engineering practices.
• Certification in AI, machine learning, or a related field.
• Experience with cloud providers such as AWS, Azure, or Google Cloud.

Benefits and Perks

• Competitive compensation package.
• Opportunity to work with a leading company in the AI and technology sector.
• Collaborative and dynamic work environment that fosters innovation and growth.
• Flexible remote work arrangements.
• Access to cutting-edge technologies and tools.
• Professional development opportunities, including training and certifications.
• Comprehensive health and wellness programs.
• Generous PTO and holiday package.
• Retirement savings plan.
• Employee recognition and reward programs.

• Highlight your experience with AI engineering patterns such as retrieval-augmented generation, embeddings, and prompt engineering to stand out as a strong candidate.
• Build a portfolio that showcases your ability to design, develop, and deploy AI solutions, including any relevant projects or contributions to open-source initiatives.
• Prepare to discuss your approach to responsible AI practices, including model evaluation, bias testing, and explainability, as these are critical aspects of the role.
• Emphasize your collaborative skills, as the ability to work effectively with cross-functional teams is essential for success in this position.
• Stay up-to-date with industry trends and be prepared to discuss emerging AI technologies and their potential applications.
• Be ready to negotiate your salary based on your experience and the market rate for similar positions, and don’t hesitate to ask about benefits and perks during the interview process.
• Research NTT DATA’s culture and values to understand their commitment to innovation, inclusion, and employee growth, and be prepared to discuss how your own values align with those of the company.