Ai Engineering Associate Director Job at NTT DATA (Plano)

Job Description

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.

Job Responsibility

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
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

What we offer

medical
dental
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

NTT DATA - All Job Offers

Select Country

Ai Engineering Associate Director

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Ai Engineering Associate Director

Sr Director, AI Engineering

Associate Director- AI

Sr. Associate Director (AI)

Associate Director - Marketing Ai & Innovation

Associate Director, Agentic AI Business Solutions

Associate director agentic ai business solutions

Associate Director - Data Engineering

Associate Director, Agentic AI Solution Delivery, Neural Nexus

Our AI answers in your language