Generative AI Adoption Specialist
US$85,000 – US$90,000 / yr base salary
Posted 14 Oct 2026
Advertised as “(1114575) Generative AI Adoption Specialist”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$85,000 – US$90,000 / yr |
|---|
Field of studyComputer Science, Engineering, Information Systems, Mathematics, Statistics (or related)
Study levelBachelor's
Field of studyQuantitative Field, Technical Field
Study levelMaster's
Diversified Services Network, Inc. (DSN) is seeking a full-time Generative AI Adoption Specialist to join our fully onsite team in Irving, TX. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!
Position Overview
The Generative AI Adoption Specialist is an onsite individual contributor who helps business teams understand, adopt, and gain value from Generative AI tools and agentic capabilities. Working closely with the Data Science Pod Lead, AI Product Owners, AI Architects, and business partners, this role translates business needs into practical use cases, guides teams through experimentation and adoption, and connects users with approved tools, platforms, and specialist support, ensuring every solution aligns with enterprise standards, security requirements, and Responsible AI principles.
Key Responsibilities
Business Engagement & Use-Case Discovery
- Align business engagement and enablement activities with the pod's direction, priorities, governance, and expected outcomes.
- Partner with business stakeholders to understand user needs, desired outcomes, adoption barriers, success measures, and value hypotheses.
- Identify and document business problems, process opportunities, and potential applications of GenAI tools or agentic capabilities.
- Evaluate opportunities from user, business value, data, risk, governance, technology, adoption, and support perspectives.
- Develop and compare alternative approaches, including existing enterprise tools, configurable agents, reusable patterns, process changes, or referral to specialist delivery teams.
- Apply discovery, facilitation, experimentation, and evaluation techniques to guide recommendations and adoption decisions.
Enablement & Communication
- Explain GenAI and agentic concepts, common use cases, tool capabilities, limitations, risks, and the role of human oversight in clear language for technical and non-technical audiences.
- Demonstrate how copilots, assistants, agents, knowledge grounding, prompts, and AI-enabled workflows can support everyday business activities.
- Point business users to the right enterprise guidance, learning resources, approved tools, and specialist support.
- Create and share practical examples, reusable patterns, and best practices that help teams adopt GenAI responsibly and effectively.
- Collaborate with architecture, platform, data, engineering, cybersecurity, legal, privacy, Responsible AI, learning, and change-management teams as needed.