Note: The job is a remote job and is open to candidates in USA. Oracle Health is seeking a Senior Manager, AI Engineering and Agent Platform to build and lead a new team focused on applying AI, LLMs, and agent-based software engineering to accelerate analytics and reporting delivery. This leader will be responsible for establishing a high-impact AI engineering function that integrates with existing analytics, data, and reporting platforms.
Responsibilities
- Build and lead a new AI engineering team focused on AI agents, LLM-enabled workflow automation, semantic intelligence, and AI platform capabilities
- Define and execute the roadmap for AI-powered solutions that accelerate analytics development, reporting, insight generation, and data reliability
- Partner with analytics, data engineering, application engineering, product, and business stakeholders to identify high-value use cases and drive adoption
- Establish engineering standards for production AI systems, including evaluation, release management, governance, observability, and human-in-the-loop controls
- Lead hiring, organizational design, coaching, performance management, and technical direction for a multidisciplinary AI team
- Drive delivery of AI solutions such as data engineering agents, monitoring agents, metric design workflows, AI search, executive narrative generation, and insight discovery capabilities
- Ensure AI solutions are secure, scalable, auditable, and aligned with Oracle Health operational and compliance expectations
- Define measurable KPIs for team success, including cycle-time reduction, adoption, reliability, data quality improvement, and operational efficiency gains
- Serve as the primary leader translating business needs into an executable AI engineering roadmap and production outcomes
Skills
- 10+ years of experience in engineering leadership
- Ability to read, write, and speak English
- Experience in AI, LLMs, and agent-based software engineering
- Proven track record of delivering enterprise AI capabilities into production
- Experience in building and leading specialized teams
- Ability to define roadmaps and delivery models for AI solutions
- Strong understanding of production AI systems, including evaluation, release management, governance, and observability
- Experience in partnering with analytics, data engineering, application engineering, product, and business stakeholders
- Ability to establish engineering standards for AI systems
- Experience in defining measurable KPIs for team success
- Ability to translate business needs into executable AI engineering roadmaps
Benefits
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Company Overview