2 months ago
Base Salary
$98k - $210k/yr
Responsibilities
- Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting.
- Implement AI capabilities for SQL generation, pipeline creation, metric design, insight discovery, executive narrative generation, and dashboard/report scaffolding.
- Integrate AI capabilities with enterprise tools, data platforms, semantic services, Oracle products, and existing engineering workflows.
- Develop structured tool-calling patterns, validation logic, retry handling, grounded output generation, and human-approval workflows.
- Build evaluation and testing approaches covering regression testing, quality validation, hallucination and grounding assessment, retrieval relevance, tool-call success, agent completion, latency, reliability, safety, and cost.
- Define reusable APIs, schemas, contracts, tool interfaces, event patterns, interoperability standards, and architecture patterns for agents, models, knowledge sources, data products, and enterprise applications.
- Establish retrieval, semantic, security, governance, and hybrid or distributed deployment patterns for regulated, sovereign, customer, and on-premises environments.
- Partner with database, data, AI science, application, analytics, security, infrastructure, architecture, and domain teams to operationalize AI capabilities.
- Evaluate emerging AI, data, search, agent, and model-serving technologies and determine whether to build, integrate, standardize, or partner.
Requirements
- 8+ years of software engineering experience with strong proficiency in Python, APIs, distributed systems, and production-grade application development.
- Hands-on experience building and deploying LLM-enabled or agentic AI solutions.
- Demonstrated expertise in AI agents and workflow automation, including tool/function calling, agent orchestration, prompt and context management, structured outputs, validation, retries, failure handling, and human-in-the-loop workflows.
- Strong experience with enterprise GenAI and retrieval architectures, including RAG, embeddings, vector and hybrid search, reranking, grounding, knowledge bases, semantic layers, and NL2SQL or conversational analytics.
- Experience with OCI Generative AI, Oracle AI Database/Vector Search, Select AI, OpenSearch, or comparable technologies is preferred.
- Experience building secure, production-ready, measurable AI systems with evaluation frameworks, regression testing, observability, access controls, auditability, prompt-injection defenses, and data-exfiltration safeguards.
- Strong architecture and cross-functional collaboration skills, including the ability to define reusable APIs, schemas, tool interfaces, integration patterns, and engineering standards.
- The position requires the candidate to be a U.S. citizen due to the client contract.
Benefits
- U.S. base salary range of $97,800 to $209,500 per annum, with possible bonus and equity eligibility.
- Medical, dental, vision, short-term and long-term disability, life insurance, and AD&D coverage.
- Health care and dependent care flexible spending accounts plus pre-tax commuter and parking benefits.
- 401(k) savings and investment plan with company match and an employee stock purchase plan.
- Paid vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
- Oracle generally accepts applications for at least three calendar days from posting or while the role remains posted.
Tech Stack
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.