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Strong employer brand, metro location, and broad AI skillset increase candidate competition.
High domain specificity in AI, LLMs, governance, and enterprise transformation limits cross-industry transferability.
Mandatory 10+ years plus specialized AI, LLM, and enterprise deployment requirements make filtering strict.
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Lead identification, design, and implementation of high-value AI use cases to improve operational efficiency, service delivery, and business outcomes across the organization.
Define and drive AI vision, roadmap, and strategy including governance frameworks for ethical, secure, and compliant AI adoption.
Collaborate cross-functionally as a senior advisor and practitioner to translate business challenges into scalable AI solutions and lead end-to-end AI initiative delivery.
10+ years of experience in technology consulting, digital transformation, data science, software engineering, or AI-related roles.
Proven experience leading enterprise-scale AI and digital transformation initiatives.
Strong understanding and hands-on experience with Generative AI, Large Language Models (e.g., OpenAI, Azure OpenAI), Agentic AI, Machine Learning, NLP, Retrieval Augmented Generation, and Intelligent Automation.
Work Experience Required: 10+ years; Degree in computer science, engineering, or related discipline.
Experienced senior leader with strong consulting and stakeholder management skills capable of engaging with C-level executives and cross-functional teams.
Deep technical expertise in designing and deploying AI solutions in enterprise environments, with a focus on emerging AI technologies and strategic transformation.
Proven ability to translate complex business needs into AI architectures, build business cases, and lead organizational change for AI adoption.