AI Engineering Associate Director

NTT DATA, Inc.; Plano (TX); Remote; USD 151,400 - 202,500; Full time

Job summary

NTT DATA is seeking an AI Engineering Associate Director to design, build, test, and deploy AI and generative AI solutions across healthcare, life sciences, and public sector domains. You will work with solution architects, SMEs, and clients to deliver scalable, secure, and business-value driven outcomes.

The role emphasizes production‑minded engineering, responsible AI practices, and collaboration across security, privacy, legal, and architecture teams. Remote role within the United States.

Qualifications

• Hands-on experience building AI/ML applications and data-driven solutions.
• Experience with generative AI patterns and API-based model orchestration.
• Proficiency in Python and SQL with common AI/data libraries.
• Experience with Azure/AWS/GCP cloud platforms.
• Experience with APIs, data pipelines, and enterprise integration patterns.
• Familiarity with Git, CI/CD, testing, and containerization.

Responsibilities

• Design, develop, and deploy AI/generative AI solutions across healthcare and public sectors.
• Build AI-enabled applications, APIs, copilots, and dashboards.
• Create reusable accelerators, demos, and technical assets for sales and delivery.
• Collaborate with architects, data scientists, and stakeholders to translate requirements.
• Maintain data pipelines, feature workflows, and model-ready datasets.
• Ensure responsible AI practices, privacy, bias testing, and governance.
• Support sales with demos, proposals, and technical content.

Skills

Python

SQL

Cloud platforms

API integration

Data pipelines

AI/ML engineering

Gen AI patterns

Prompt engineering

Vector databases

Model orchestration

Education

Bachelor's degree

Tools

Git

CI/CD

Docker

Kubernetes

Job description

AI Engineering Associate Director

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. They 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.

The starting pay range for this remote role is $151,400 - $202,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and 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, and additional voluntary or legally‑required benefits.

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