Machine Learning Engineer AI Engineer

At NTT DATA we know that with the right people on board anything is possible. The quality integrity and commitment of our employees have been key factors in our companys growth and market presence. By hiring the best people and helping them grow both professionally and personally we ensure a bright future for NTT DATA and for the people who work here.

For more than 25 years NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms we deliver continuous value addition and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

NTT DATAs Client is seeking a candidate for the following position:

Location: Charlotte North Carolina United States of America

• Partner with an assigned CIO organization as the primary GenAI engineering lead and translate business priorities into scalable AI solutions.
• Design develop test and deploy production-grade GenAI solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and agentic AI patterns.
• Accelerate high-value use cases through hands-on engineering rapid prototyping reusable components reference architectures and production solutioning.
• Drive adoption of enterprise AI platforms such as Azure AI AWS Bedrock and internal platforms; translate platform capabilities into practical implementation patterns.
• Design secure RAG and agentic workflows using document ingestion embeddings vector search orchestration frameworks tools/APIs enterprise data sources and guardrails.
• Ensure solutions meet enterprise architecture security privacy responsible AI governance observability and production support standards.
• Deliver workshops training design reviews and technical guidance on prompt engineering RAG orchestration LLM application patterns and platform usage.
• Develop reusable documentation playbooks quick-start guides sample code and best practices while acting as liaison between centralized AI platform and CIO engineering teams.

• Minimum 8 years of overall software engineering data engineering machine learning engineering or AI solution development experience in enterprise environments.
• Minimum 5 years of hands-on experience designing and delivering machine learning AI or data-driven applications using Python and modern software engineering practices.
• Minimum 3 years of hands-on experience building Generative AI / LLM applications including prompt engineering model integration evaluation and production deployment.
• Minimum 3 years of experience designing and implementing RAG solutions using embeddings vector search/databases document processing retrieval techniques and grounding patterns.
• Minimum 2 years of experience developing agentic AI or multi-step AI workflows using orchestration frameworks tool/function calling APIs and enterprise integrations.
• Minimum 3 years of experience with cloud AI/ML platforms including Azure AI / Azure OpenAI AWS Bedrock or comparable enterprise AI services.
• Minimum 3 years of experience with cloud-native engineering CI/CD containers observability security controls and production deployment practices.
• Minimum 2 years of experience in technical enablement architecture consulting or engineering leadership including workshops mentoring reusable guidance and application of responsible AI/governance requirements.

Travel: Travel as required based on business and CIO-aligned engagement needs.

Degree: Bachelors degree in Computer Science Engineering Data Science Artificial Intelligence Machine Learning or equivalent work experience.

• Experience with LangChain LangGraph Semantic Kernel LlamaIndex AutoGen or comparable LLM / agent orchestration frameworks.
• Experience with vector technologies such as Azure AI Search OpenSearch Pinecone pgvector FAISS or equivalent platforms.
• Experience with LLMOps / MLOps prompt and model evaluation AI observability guardrails red-teaming and production quality measurement.
• Experience building reusable GenAI accelerators/reference architectures or delivering AI solutions in highly regulated enterprise environments such as financial services.

NTT DATA Services is a recognized leader in IT and business services including cloud data and applications headquartered in Texas. As part of NTT DATA a $30 billion trusted global innovator with a combined global reach of over 80 countries we help clients transform through business and technology consulting industry and digital solutions applications development and management managed edge-to-cloud infrastructure services BPO systems integration and global data centers. We are committed to our clients long-term success. Visit or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race color religion citizenship national origin ancestry age sex sexual orientation gender identity genetic information physical or mental disability veteran or marital status or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability please inform your recruiter so that we may connect you with the appropriate team.

Where required by law NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is **($x - x/hourly )**. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors including the candidates actual work location relevant experience technical skills and other qualifications.

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.