Why This Role Stands Out
Embrace your expertise to architect and drive adoption of cutting-edge GenAI solutions, shaping the future of technology with a renowned company. If you're passionate about innovation and eager to lead impactful strategies, this on-site role offers immense growth potential and a chance to make your mark. Apply now to become a key player in Arkhya Tech's exciting journey!
Quick Overview
Job Description
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.
o Architect and execute go to market strategies spanning onboarding, training, documentation, and ongoing support.
Customer Enablement & Training o 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. o Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points.
Solution Strategy & Feedback Loop o Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements. o Translate business problems into actionable solution architectures partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery.
o Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization.
Stakeholder Relationship & Communication o Build
Required Qualifications:
4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, 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/OpenShift). Desired Qualifications
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); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, 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
Regards,
Bhupendra
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