Senior Vice President, AI / Machine Learning Software Engineer
oraclecloud
Job Description
- Partner with business, product, operations, and engineering leaders to identify, prioritize, and define AI use cases across Asset Servicing and Middle Office.
- Apply an AI-first lens to business processes, client journeys, and operational workflows to uncover opportunities for automation, insight generation, decision support, and productivity improvement.
- Design, build, and help implement AI/ML and generative AI solutions, including prototypes, production-ready services, and reusable patterns.
- Translate domain needs into technical requirements, solution designs, and delivery roadmaps aligned to platform and business priorities.
- Work closely with data, architecture, security, risk, and engineering teams to ensure solutions are scalable, secure, well-governed, and operationally supportable.
- Evaluate feasibility, value, and risk of AI opportunities, including data readiness, model suitability, controls, and adoption considerations.
- Establish and promote engineering standards, design patterns, and best practices for responsible AI development and deployment.
- Support experimentation and innovation while maintaining strong focus on business outcomes, control requirements, and production quality.
- Communicate solution approach, trade-offs, and business value clearly to both technical and non-technical stakeholders.
- Mentor engineers and cross-functional teams on AI capabilities, domain-driven problem solving, and practical application of emerging technologies.