[Remote] AI Engineering Associate Director

Note: The job is a remote job and is open to candidates in USA. NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. They are currently seeking an AI Engineering Associate Director to lead transformative AI initiatives primarily in healthcare and public sector domains. This role involves designing and implementing AI solutions, collaborating with various stakeholders, and ensuring responsible AI practices.

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

Skills

• 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

Benefits

• 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.
• Whenever possible, we hire locally to NTT DATA offices or client sites.
• 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.

Company Overview

Company H1B Sponsorship