Agentic & Gen AI Go-To-Market Lead

Role : Agentic & Gen AI Go-To-Market Lead

Location : Minneapolis, MN / Charlotte, NC / Irving, TX (Hybrid)

About this role:
seeking a Go-To-Market Lead to join the Digital Technology & Innovation (DTI) organization. DTI supports Corporate Strategy, Digital Platforms & Innovation, working to advance enterprise AI capabilities and accelerate the integration of cutting-edge innovation into customer-facing products and internal platforms.

This role sits at the intersection of product, engineering, and go-to-market (GTM) and is designed for a hybrid leader builder: someone who not only shapes strategy but also gets hands-on building prototypes, coding solutions, and rapidly demonstrating value.

We are seeking a highly technical, product-oriented, and customer-focused individual to drive adoption and delivery of Generative AI and agentic AI capabilities across the enterprise. This individual will function as a blend of:

Go-To-Market Leader defining and executing adoption strategies for AI platforms and capabilities

Forward-Deployed Engineer working directly with business teams to prototype, build, and deploy AI-powered solutions in real-world workflows

You will play a critical role in turning emerging AI capabilities into tangible business impact, partnering closely with product, engineering, and line-of-business stakeholders to accelerate experimentation, deployment, and scale.

This role requires a strong bias for action, comfort with ambiguity, and the ability to leverage modern AI-native development tools to move from idea to working solution rapidly.

In this role, you will:
Go-To-Market Leadership & Adoption

Define and execute GTM strategies for enterprise AI capabilities, with emphasis on LLMs, agentic systems, and composable AI platforms

Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools through targeted enablement and engagement

Lead feature launches and platform rollouts, translating technical capabilities into clear business value narratives

Forward-Deployed Engineering & Solution Acceleration

Partner directly with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions

Build hands-on demos, reference implementations, and rapid prototypes that showcase platform capabilities in real-world use cases

Engage in pair programming, debugging, and solution development, accelerating time from concept to production

Leverage tools such as GitHub Copilot, Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate

Customer Enablement & Developer Experience

Lead workshops, office hours, and hands-on sessions focused on building with LLMs, RAG architecture, and agentic workflows

Develop scalable enablement assets (SDKs, playbooks, reusable components, prompt libraries, agent templates)

Improve developer experience and time-to-value by identifying friction points and driving improvements across tooling and documentation

Solution Strategy & Agentic Architecture

Translate business problems into GenAI and agentic solution architectures, incorporating patterns such as RAG, tool use, multi-agent orchestration, and memory frameworks

Partner with platform teams to define reusable design patterns, accelerators, and reference architectures

Stay at the forefront of GenAI, agentic systems, LLMOps, and emerging AI-native development paradigms

Feedback Loop & Product Influence

Establish tight feedback loops with end users to shape platform roadmap and prioritize enhancements

Capture insights across deployments to inform improvements in usability, performance, and scalability of AI solutions

Champion a customer-first, experimentation-driven culture across AI initiatives

Stakeholder Engagement & Communication

Act as a trusted advisor bridging technical depth and business strategy

Communicate complex AI concepts clearly to both technical and non-technical audiences

Deliver executive-ready updates highlighting

adoption, business impact, and innovation outcomes

Governance, Security & Responsible AI

Ensure adherence to responsible AI principles, model governance, data security, and regulatory requirements

Collaborate with risk, compliance, and security teams to operationalize safe and compliant AI deployments

Required Qualifications

4+ years of experience in Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

3+ years in go-to-market leadership, technical product, solution engineering, or forward-deployed engineering roles

Hands-on experience building with GenAI/LLMs and agent-based systems, including rapid prototyping and deployment

Strong programming skills and experience working with modern development stacks and APIs

3+ years of experience with cloud platforms (GCP or Azure) and containerization (Docker, Kubernetes/OpenShift)

Desired Qualifications

Deep expertise in Generative AI and agentic architectures, including: LLMs, RAG, embeddings, vector search

Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar)

Tool use, orchestration, and multi-agent systems

Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Devin, Cursor) to accelerate innovation and delivery

Strong familiarity with LLMOps practices: prompt/version management, evaluation, observability, guardrails

Experience building end-to-end AI applications, from prototype to production

Proven ability to build demos, prototypes, and customer-facing solutions that drive adoption

Experience in large-scale enterprise environments, preferably in regulated industries

Strong communication and stakeholder management skills with ability to influence senior leaders

Ability to operate as both a strategic leader and hands-on builder