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Tier-1 employer, metro location, and broad, cross-functional AI skillset increase candidate competition significantly.
Strong emphasis on regulated financial services, AI governance, and enterprise database expertise increases industry-specific hiring sensitivity.
Explicit 7+ years, advanced degree expectation, and extensive enterprise AI architecture requirements make filters stringent.
Provide strategic technical leadership and advisory to senior leadership on complex, enterprise-wide AI, database, and technology solutions.
Lead design and delivery of scalable, enterprise-grade AI platforms and innovative AI/ML solutions integrated with enterprise systems.
Shape and influence AI strategy and governance across the organization, ensuring compliance with regulatory and security requirements.
7+ years of engineering experience; specific work experience equivalent through training, education, or military experience accepted.
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical discipline.
Strong hands-on experience with AI/ML frameworks, Generative AI, cloud AI platforms, and database technologies like Oracle, PostgreSQL, MongoDB.
Experience leading architecture, technical strategy, and governance for large enterprise platforms involving AI and database technologies.
Proven ability to lead large, complex cross-functional AI transformation initiatives and enterprise platform engineering in regulated industries such as financial services.
Expertise in AI governance, responsible AI, risk management, security, compliance, and operational risk controls applied to AI solutions.
Strategic problem solver with experience partnering with executives, architects, cybersecurity, and business stakeholders to deliver measurable business value through AI innovation and automation.