AI Engineering Associate Director

NTT
Plano
Workplace: RemoteFull timeUSD 151,400 - 202,500Function: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Communication","Responsible AI awareness","Problem solving","Client delivery"]

Design, build, test, and deploy AI, machine learning, and generative AI solutions for healthcare, life science, and public sector clients. Develop AI-enabled applications, services, APIs, copilots, dashboards, and decision-support tools using modern AI engineering patterns like retrieval-augmented generation, embeddings, vector search, prompt engineering, and model orchestration. Build data pipelines and model-ready datasets, integrate cloud and model providers, and contribute to proofs of concept and responsible AI practices.

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FursaFursa
NTT
NTT
2 months ago

AI Engineering Associate Director

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Design, build, test, and deploy AI, machine learning, and generative AI solutions for healthcare, life science, and public sector clients. Develop AI-enabled applications, services, APIs, copilots, dashboards, and decision-support tools using modern AI engineering patterns like retrieval-augmented generation, embeddings, vector search, prompt engineering, and model orchestration. Build data pipelines and model-ready datasets, integrate cloud and model providers, and contribute to proofs of concept and responsible AI practices.
Location: Plano
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Design, develop, and implement AI and generative AI solutions across 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 AI engineering patterns including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, NLP, document intelligence, predictive analytics, and machine learning.
  • •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 and enterprise platforms; create proofs of concept, prototypes, and reusable implementation assets while applying responsible AI practices.

Pay and Benefits

Salary: USD 151,400 - 202,500
Perks:Health InsuranceDentalVisionPaid Leave401k

Key Requirements

  • •Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or 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/frameworks.
Experience:6+ yearsHealthcareLife sciencePublic sectorGenerative AI
Education:Bachelor's
Skills:CollaborationCommunicationResponsible AI awarenessProblem solvingClient delivery
Tech Stack:PythonSQLAzureAWSGoogle CloudAPIsGitCI/CDDockerContainerizationVector searchEmbeddingsRetrieval-augmented generationPrompt engineeringLLM integrationModel evaluationVector databasesNatural language processingDocument intelligencePredictive analytics

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn