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Senior, niche Generative AI leadership role at a mid-tier consultancy reduces applicant density despite metro location.
Highly domain-specific AI architecture and regulated-industry expectations limit transferability across industries.
10+ years plus deep LLM, cloud, MLOps, and governance requirements make filtering strict.
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Lead design, implementation, and governance of enterprise-scale AI and Generative AI solutions across the organization.
Define and execute AI strategy and roadmap, manage cross-functional teams, and drive AI transformation initiatives.
Architect scalable AI platforms including LLM-based applications, oversee delivery, technical governance, and ensure compliance and performance standards.
10+ years of experience in AI architecture, solution design, and leadership.
Strong expertise in Generative AI, LLMs, Prompt Engineering, RAG, Agentic AI frameworks, and AI governance.
Proven experience with Azure and/or AWS cloud platforms including Azure OpenAI Services and AWS Bedrock.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or related field.
Experienced in leading large-scale AI programs and mentoring multidisciplinary AI engineering and architecture teams.
Able to influence executive stakeholders and drive enterprise-wide AI adoption strategies.
Familiar with cloud-native architectures, MLOps, AI lifecycle management, and regulated industry requirements (e.g., BFSI).