Define the enterprise standard generative AI and agentic AI architecture through the analysis and selection of solutions and frameworks that are scalable, secure, adaptable and maintainable
Enable a hybrid cloud/on-prem architecture that fulfills unclassified and classified AI needs balanced with affordability and flexibility
Stay abreast of the latest research and technology in the AI market
Advise technical teams on AI architecture and design within enterprise platforms
Develop strong relationships with key CIDO and AI stakeholders to ensure that critical business needs are understood and addressed within the architectural roadmap
Define standards and processes for AI architectural reviews, model evaluation, and solution testing
Demonstrate thought leadership by advising senior executives and technical leadership on AI strategy, ROI, and risk

Requirements

Must have at least 12 years of relevant experience with bachelor’s degree in computer science, Engineering, Data Science, or a related field; 10 years with Masters; or 8 years with PhD
Must have At least 3 years focused on generative and agentic AI
Must have a proven track record of architecture, deployment, and operation of large‑scale AI systems
Must have demonstrated experience with machine learning, NLP, RAG, and data platforms
Must have demonstrated proficiency in relevant programming languages (e.g., Python, Java) and AI/ML frameworks
Must have demonstrated ability to evaluate and integrate open ‑source AI projects (e.g., LangChain, Llama‑Index, Hugging Face, Ray, OpenAI SDKs)
Must have hands-on experience with cloud native AI services (e.g., AWS Sagemaker, Azure OpenAI Service, etc.)
Must have proven ability to translate complex AI concepts into clear opportunities, risks, and outcomes for non-technical audiences.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

generative AIagentic AImachine learningnatural language processingRAGdata platformsPythonJavaAI/ML frameworksarchitecture

Soft Skills

relationship buildingadvisingthought leadershipcommunicationrisk assessment