(1114575) Generative AI Adoption Specialist

Job Description

Job Description

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.

User Support & Troubleshooting

• Work with users to reproduce issues, clarify expected outcomes, and distinguish between user guidance, configuration, data, platform, or integration problems.
• Answer questions on tool features, prompt behavior, knowledge grounding, access, compatibility, workflow design, and appropriate usage.
• Analyze prompts, configurations, outputs, diagnostics, logs, test cases, and user feedback to troubleshoot issues, escalating to specialist teams when needed.
• Document and communicate issues, resolution steps, workarounds, and lessons learned to strengthen ongoing adoption and support.

Requirements

Required Qualifications

• Minimum Bachelor's degree, preferably in computer science, engineering, information systems, statistics, mathematics, or a related quantitative field.
• 2+ years of professional experience required.
• Working knowledge of GenAI tools and business productivity technologies, with the ability to configure, test, demonstrate, troubleshoot, and document prompts, assistants, agents, and workflows.
• Hands-on skill in prompt design, system instructions, knowledge grounding, agent configuration, structured outputs, and output evaluation.
• Solid understanding of AI, GenAI, and agentic concepts, risks, opportunities, and limitations, and how to apply them responsibly to achieve business outcomes.
• Digital literacy across collaboration platforms, workflow tools, data sources, APIs, and basic scripting or analytical tools.
• Strong verbal and written communication skills.
• Patient, self-motivated, and collaborative team player.

Preferred Qualifications

• Master's degree in a technical or quantitative field.
• Knowledge of the AI-enabled solution lifecycle, from discovery and use-case definition through validation, approval, deployment, measurement, and retirement.
• Experience working within structured delivery and governance methods for GenAI solutions, including intake, prioritization, testing, risk review, change management, release, and benefits tracking.
• Python programming experience (NumPy, pandas, etc.) applied to business challenges.
• Experience with cloud technologies such as AWS, Azure, or Google Cloud.

Benefits

• 401(k)
• Dental insurance
• Vision Insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more!

Salary Expectations : $85,000-90,000 annually