Agentic & GenAI Lead

Role: Agentic & GenAI Go-To-Market Lead Location: Minneapolis, MN & Charlotte, NC/Hybrid Duration: 12 Months About this role: 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: o LLMs, RAG, embeddings, vector search o Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar) o 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