[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 seeking an AI Engineering Associate Director to drive AI initiatives in healthcare and public sector, defining solutions and partnering with C-suite leaders to deliver innovative offerings.

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
• 15+ years of experience in designing and developing AI/ML solutions with at least 10 years of experience in state/local government and/or education
• Deep understanding of public sector challenges and operations, AI, digital transformation
• Demonstrated success shaping and winning large-scale transformation or managed services deals ($10M+)
• Strong executive presence with the ability to engage C-suite leaders
• Experience leading cross-functional global teams and driving innovation at scale

Benefits

• 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
• Additional voluntary or legally-required benefits
• Remote or hybrid work options, these arrangements are subject to change based on client requirements
• In-office attendance may be required for meetings or events, depending on business needs

Company Overview

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