Generative AI Solutions Architect

Posted 14 Days Ago
Dallas, TX, USA
In-Office
92K-131K Annually
Entry level
Information Technology • Business Intelligence • Consulting
The Role
Designs, develops, deploys, and supports generative AI applications, APIs, workflows, and reusable components. Evaluates foundation models and deployment approaches, integrates RAG, prompting, tool use, and agentic patterns, and establishes testing, guardrails, documentation, standards, and observability practices. Advises project teams on architecture, security, GPU capacity, costs, performance, privacy, and responsible AI. Collaborates with engineering, infrastructure, security, operations, and business stakeholders to enable scalable enterprise AI adoption.
Summary Generated by Built In

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Generative AI Solutions Architect designs, develops, and supports AI-enabled applications, workflows, and reusable capabilities while helping teams evaluate and implement AI solutions effectively. This role blends software engineering, AI architecture, and stakeholder consulting to drive secure, scalable, and sustainable AI adoption across the GIN organization.


Want to be a part of our team?

This is a role in our Global IP Network (GIN) division. NTT and the Global IP Network have been recognized as the Best Global Wholesale Carrier (Data) 2021 at the Global Carrier Awards. Our Tier-1 Global IP Network, consistently ranked among the top networks worldwide, spans the Americas, Europe, Asia and Oceania, operating under a single AS 2914.


Key Responsibilities:


  • Design, develop, test, deploy, and maintain GenAI-enabled applications, services, APIs, and reusable components for internal platforms and project teams.
  • Evaluate and select foundation models and deployment approaches, including open-source and locally hosted models such as Qwen and Ollama-based deployments, using quality, latency, cost, security, privacy, and platform-fit criteria.
  • Design and integrate model-driven workflows such as prompting, retrieval-augmented generation (RAG), tool use, and agentic patterns, with appropriate testing, evaluation, guardrails, and fallback behavior.
  • Provide early technical input to project teams on feasibility, architecture, model selection, data requirements, GPU capacity, security, responsible AI considerations, performance, and operational risks.
  • Create and maintain reference designs, technical documentation, evaluation methods, operating procedures, standards, observability guidance, and recommended usage patterns for GenAI solutions.
  • Partner with software, infrastructure, platform, security, and operations teams; educate technical and non-technical stakeholders on GenAI capabilities and limitations; and provide actionable feedback to the Executive, Head - SAS on platform gaps and improvement priorities.
  • Develop and maintain reporting at established intervals on significant GIN AI initiatives, activities, and project outcomes. Maintain current GIN AI documentation and guidance, including recommended AI models, core tools, platforms, and other resources available to GIN staff, updating content as organizational needs, technologies, and standards evolve.

Education / Qualifications required:


  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; or equivalent practical experience.
  • Working knowledge of software engineering practices relevant to GenAI solutions, including Python or comparable programming, APIs, source control, testing, containers, and automated deployment practices.
  • Working knowledge of GPU compute and memory considerations, foundation-model capabilities and limitations, and open-source or locally hosted model platforms, including tools such as Ollama and models such as Qwen.

Work Experience Required:

  • Demonstrated experience designing, building, and supporting GenAI-enabled applications, services, or internal tools in an enterprise or applied engineering environment.
  • Demonstrated experience working across software engineering, infrastructure, architecture, security, operations, and business stakeholders to translate use cases into practical technical solutions.
  • Demonstrated experience developing and integrating model-driven workflows, including prompting, inference patterns, testing, evaluation, and support practices.
  • Demonstrated experience creating technical documentation, implementation guidance, or standards for both technical and non-technical audiences.
  • Demonstrated experience working in network services, telecommunications, managed services, or similar infrastructure-based companies.

Skills and Core Competencies:


  • Ability to assess technical tradeoffs involving solution quality, cost, latency, performance, scalability, maintainability, security, privacy, and operational fit.
  • Strong written and verbal communication skills, including the ability to explain complex GenAI concepts, risks, and recommendations clearly to mixed audiences.
  • Strong analytical and experimental approach to model and workflow evaluation, including defining acceptance criteria and interpreting evaluation results.
  • Ability to work independently and across project teams, exercise sound technical judgment, identify risks early, and recommend approaches that can be supported at scale.


Organizational Relationships:


  • Reports directly to the Executive Head, SAS
  • Works closely with software engineering, infrastructure, platform, security, and operations teams.
  • Engages with technical leadership, project teams, and non-technical stakeholders on a project basis.

Success Measures:


  • Delivery of reliable, supportable GenAI tools, services, or reference implementations that meet defined acceptance criteria and are adopted by project teams.
  • Build and maintain clear and current documentation, standards, and operating guidance that support consistent implementation and support practices.
  • Early identification of GenAI design issues, security or responsible AI risk, resource constraints, and operational gaps with actionable recommendation that improve AI platform readiness.
  • Demonstrable improvements in solution quality, latency, cost, reliability, or supportability through effective evaluation, architecture, and operational practices.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is 92K-131K. 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. 


Workplace type:

Remote Working

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 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience
  • Working knowledge of software engineering practices for GenAI solutions, including Python or comparable programming, APIs, source control, testing, containers, and automated deployment
  • Working knowledge of GPU compute and memory considerations
  • Working knowledge of foundation-model capabilities and limitations
  • Working knowledge of open-source or locally hosted model platforms, including Ollama and Qwen
  • Experience designing, building, and supporting GenAI-enabled applications, services, or internal tools in an enterprise or applied engineering environment
  • Experience working across software engineering, infrastructure, architecture, security, operations, and business stakeholders
  • Experience developing and integrating model-driven workflows, including prompting, inference patterns, testing, evaluation, and support practices
  • Experience creating technical documentation, implementation guidance, or standards for technical and non-technical audiences
  • Experience working in network services, telecommunications, managed services, or similar infrastructure-based companies
  • Ability to assess tradeoffs involving quality, cost, latency, performance, scalability, maintainability, security, privacy, and operational fit
  • Strong written and verbal communication skills
  • Strong analytical and experimental approach to model and workflow evaluation
  • Ability to work independently, exercise sound technical judgment, identify risks, and recommend scalable approaches

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation — Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength — Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits — Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

Similar Jobs

EXL Logo EXL

Architect

Information Technology • Database • Consulting
Remote or Hybrid
United States
30246 Employees
150K-170K Annually

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Senior Product Manager

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office
3 Locations
85422 Employees
127K-291K Annually

Applied Systems Logo Applied Systems

Enterprise Account Executive

Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Remote or Hybrid
2 Locations
3116 Employees
200K-200K Annually

Crunchyroll Logo Crunchyroll

Senior Manager, Global Engagement Strategy

Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Hybrid
Dallas, TX, USA
1300 Employees

Similar Companies Hiring

Compa Thumbnail
Artificial Intelligence • HR Tech • Software • Business Intelligence
Irvine, California
75 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account