GenAI Solutions Leader

AI Evangelist/AI Expert/GenAI Solutions Leader

Location:

Phoenix AZ – Onsite

Full Time

• Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams.
• Architect and execute go‑to‑market strategies spanning onboarding, training, documentation, and ongoing support.
• Customer Enablement & Training:
  Conduct workshops, office hours, and hands‑on pair programming while maintaining self‑service resources (SDKs, guides, playbooks) to drive adoption and reduce time to value. Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points.
• Solution Strategy & Feedback Loop:
  Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements. Translate business problems into actionable solution architectures partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery.
• Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization.
• Stakeholder Relationship & Communication:
  Build strong stakeholder relationships and communicate vision and impact.

• 4+ years of Artificial Intelligence experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 3+ years across product/solution management, program delivery, or technical product ownership for AI/ML platforms or cloud‑native solutions.
• 3+ years hands‑on with cloud technologies (Google Cloud Platform or Azure) and container orchestration (Docker, Kubernetes/Open Shift).

• 5+ years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance.
• Experience in large enterprise environments (regulated industries preferred) and building platforms at scale.
• Hands‑on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents) and familiarity with OpenAI Azure, Hugging Face, Lang Chain/Lang Graph, ADK, and vector databases.
• Experience with MLOps/LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring).
• Strong communication skills with the ability to influence senior stakeholders and simplify complex technical concepts.