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Mid-level metro ML role with moderate brand and niche LLM requirements increases competition moderately.
Core ML/AI skills are transferable, though domain-specific climate/energy context adds moderate specialization.
Explicit 5+ years plus required LLM, cloud and AI deployment skills make screening moderately strict.
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Lead design and development of AI and Generative AI solutions including enterprise applications using LLMs, RAG, and Agentic AI frameworks.
Provide technical leadership, mentorship, and conduct architecture reviews for AI solutions.
Deploy and manage AI solutions on cloud platforms (Azure, AWS, GCP) supporting model monitoring and lifecycle management.
University degree or equivalent qualification.
Minimum 5 years of relevant work experience in AI or data analytics.
Experience with AI development frameworks and cloud deployment on Azure, AWS, or GCP.
Work Experience Required: Minimum 5 years prior relevant experience.
Experienced in leading engineering teams with a strong focus on AI solution architecture and development.
Skilled in integrating AI technologies into enterprise contexts, including scalable service design and deployment.
Comfortable collaborating across product management, architecture, and business stakeholders to deliver impactful AI solutions.