
Enablement Engineer - Onsite
Irving, TXJob$65–75/hrSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
The Enablement Engineer is a senior hands-on engineering role focused on accelerating enterprise AI platform adoption across Lines of Business. Aligned to a designated CIO organization, the role enables delivery of high-value AI solutions using LLMs, RAG, and agentic AI, while developing reusable patterns and supporting enterprise standards for scalable, secure, and responsible AI. The position is onsite and requires at least 80% travel.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Company Overview:
Req ID: 395877
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.
NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join their team and work ONSITE everday in any of these Hubs (Chicago, Charlotte, Atlanta, Cincinnati, Minneapolis, Northern California, and Irving TX)
The Enablement Engineer is a senior hands-on engineering role responsible for accelerating adoption of enterprise AI platforms across Lines of Business (LOBs). This role is aligned to a designated CIO organization and is accountable for enabling rapid delivery of high-value AI Solutions. This position combines deep technical expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI with a focus on solution delivery, reusable patterns, and enterprise enablement. The role ensures solutions are scalable, secure, and compliant with organizational standards for responsible AI.
Basic Qualifications:
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Minimum 5+ years of experience designing, developing, and deploying GenAI solutions from ideation through production
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Minimum 5+ years of experience delivering of high-value use cases through hands-on engineering and solutioning
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Minimum 5+ years of experience guiding teams in leveraging enterprise AI platform capabilities effectively
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Minimum 5+ years of experience driving adoption of enterprise AI platforms (e.g., Azure AI, AWS Bedrock, internal platforms)
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Minimum 5+ years of experience translate platform capabilities into practical implementation patterns
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Minimum 5+ years of experience aligning use cases to enterprise AI strategy, standards, and governance requirements
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Minimum 5+ years of experience serving as a liaison between centralized AI platform teams and CIO-aligned engineering teams
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Minimum 5+ years of experience delivering training sessions, workshops, and technical guidance to engineering teams
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Minimum 5+ years of experience developing enablement materials including documentation, playbooks, and quick-start guides
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Minimum 5+ years of experience upskilling teams on GenAI techniques such as prompt engineering, RAG design, and orchestration frameworks
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Travel: This position requires someone who can travel at least 80%. Preferred location is East coast or Midwest.
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Degree: Bachelors in Computer Science or equivalent work experience
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. 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. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $65 to $75/hour . Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
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How this job compares
Set against the 7,007 open AI Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$65–75/hr
- US median$30–78/hr135 hourly ranges
This range's midpoint, $70/hr, is 30% above the US median midpoint ($54/hr) — in the top quarter of AI Engineer hourly ranges across the US.
- Openings
- Olive Jobs lists 435 open AI Engineer jobs in Texas and 7,007 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (5,945 postings).
- Education
- 2,907 of the 7,007 open AI Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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