What are the responsibilities and job description for the GenAI Solutions Leader position at Arkhya Tech. Inc.?
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.
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.
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 (GCP, 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
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.
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.
- Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization.
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 (GCP, 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