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Tier-1 employer and metro location increase competition, but specialized GenAI senior role reduces candidate density.
Requires specialized GenAI and AWS model engineering skills, limiting cross-industry transferability.
Explicit 12+ years, senior title, and mandatory GenAI/AWS/SageMaker skills enforce strict filters.
Lead the architecture and development of enterprise-scale Generative AI applications using AWS technologies like Bedrock, SageMaker, and AgentCore.
Drive the definition and execution of generative AI engineering strategies, including advanced RAG pipelines, custom ML model deployment, and AI/ML governance frameworks.
Manage and build GenAI engineering teams, engage executive stakeholders for AI strategy alignment, and drive innovation through emerging AI tech evaluation.
Bachelor's degree required.
Minimum 12 years of professional experience.
Proficiency in programming languages including Python, Java, and JavaScript.
Oral and written English proficiency required.
Experienced in strategic software engineering leadership with a focus on product innovation and advanced AI/ML technologies.
Skilled in systems thinking, client management, and delivering complex software solutions in dynamic environments.
Demonstrated ability to develop and lead diverse, high-performing teams and engage at executive stakeholder levels.