NTT DATA Services· enterprise· Oct 24, 2026 · 4d ago
Plano, TX, US
Location
Hybrid
Work mode
Full-time
Schedule
Director
Level
$175K–$269K est.
Estimated compensation
6+ years exp
Experience
Job description
Req ID: 395413
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineering Associate Director to join our team in Plano, Texas (US-TX), United States (US).
We are seeking an experienced AI Engineer to design, build, test, and deploy artificial intelligence, machine learning, and generative AI solutions across industries. This role will work with solution architects, industry SMEs, and client stakeholders to turn AI opportunities into working solutions that are scalable, secure, reusable, and aligned to business outcomes.
The ideal candidate is a hands-on engineer with strong experience across AI application development, data pipelines, model integration, cloud services, APIs, automation, and modern software engineering practices. This person should be comfortable contributing to client delivery, internal accelerators, reusable assets, proofs of concept, demos, and technical content that support both sales and implementation efforts.
This role is well suited for someone who can move from experimentation to production-minded engineering, balancing speed, technical quality, responsible AI practices, and business value.
Location: Remote role to be located in the United States
Key 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.
Qualifications:
• 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, 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 data, 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 build technically credible solutions while communicating clearly with both technical and non-technical audiences.
• Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments.
Required Qualifications
• 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.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com .
NTT DATA endeavors to make us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Requirements
Must-haves
Req ID: 395413
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineering Associate Director to join our team in Plano, Texas (US-TX), United States (US).
This role is well suited for someone who can move from experimentation to production-minded engineering, balancing speed, technical quality, responsible AI practices, and business value.
Location: Remote role to be located in the United States
Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains.
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.
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.
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, 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 data, unstructured data, and enterprise integration patterns.
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.