AI Solution Engineer, SLED for North America

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

Benefits offered by this job

Medical, dental, and vision insurance

Flexible spending or health savings account

401k program with company match

Job summary

NTT DATA, Inc. is looking for an AI Solution Engineer to design and implement generative AI solutions primarily in healthcare and public sectors. This position in Plano, Texas, focuses on modern AI engineering patterns and requires strong collaboration with various stakeholders.

The ideal candidate will have a Bachelor's degree, over 6 years of experience, and hands-on skills in Python and cloud services. The role offers a competitive salary range of $151,400–$202,500 along with comprehensive benefits.

Qualifications

• Hands-on experience building AI, machine learning, or data-driven applications.
• Ability to integrate AI models from various sources.
• Strong collaboration skills in cross-functional teams.

Responsibilities

• Design, develop, and implement AI solutions in healthcare and public sector.
• Build AI-enabled applications and services.
• Collaborate with stakeholders to translate requirements into solutions.

Skills

AI application development

Data pipelines

Cloud services

APIs

Automation

Education

Bachelor’s degree in computer science or related field

6+ years of relevant experience

Tools

Python

SQL

Azure

AWS

Google Cloud

Job description

AI Solution Engineer, SLED for North America

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Solution Engineer, SLED for North America to join our team in Plano, Texas (US-TX), United States (US).

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. This person 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.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Compensation and Benefits

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. 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.

Equal Opportunity Employment

NTT DATA is an equal‑opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Pay transparency information and EEO policy statements are available upon request.