Generative AI Adoption Manager

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Generative AI
prompt engineering
LLM API

Job Details

Role: Generative AI Adoption Manager

REMOTE

W2 ROLE

We are seeking a results-driven GenAI Adoption Manager to drive GenAI implementation across multiple Lines of Business (LOBs) for one of our key clients. This role will act as the key bridge between business stakeholders and the GenAI leadership team, ensuring that use cases are properly assessed, prioritized, and delivered using state-of-the-art GenAI tools and practices.

The ideal candidate has successfully implemented 3 4 GenAI business use cases, demonstrates strong cross-functional collaboration, and brings a hands-on understanding of various GenAI tech stacks.

Key Responsibilities:

Collaborate closely with LOB stakeholders to identify, refine, and prioritize GenAI use cases aligned with business objectives

Work with the GenAI CIO and technical teams to scope and plan implementation of selected use cases

Assess feasibility of GenAI application across domains and guide the translation of business problems into technical solutions

Act as a thought partner to business leaders, educating them on GenAI capabilities and constraints

Track adoption metrics, value realization, and provide feedback for continuous improvement

Maintain a use case backlog and ensure alignment between business priorities and GenAI roadmap

Facilitate solution design sessions, working with architects and technical leads to ensure alignment with enterprise architecture and security standards

Stay current on advancements in GenAI, agentic systems, LLMs (Claude, Titan), orchestration frameworks (LangChain, LangGraph and others), and platform tools (e.g., AWS Bedrock)

Required Qualifications:

2 3 years hands-on experience delivering GenAI use cases with demonstrable business impact

Successfully implemented at least 3 4 real-world GenAI solutions using diverse tech stacks

Familiarity with GenAI development frameworks, prompt engineering, LLM APIs, and orchestration pipelines

Strong understanding of AI/ML lifecycle, from use case intake to deployment and monitoring

Excellent communication and stakeholder management skills

Ability to work in a fast-paced, cross-functional environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Innorev Technologies, Inc