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
