14 days ago
Base Salary
$98k - $210k/yr
Responsibilities
- Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting.
- Implement agent capabilities for SQL generation, pipeline creation, metric design, insight discovery, executive narratives, and dashboard or report scaffolding.
- Integrate AI capabilities with enterprise tools, data platforms, semantic services, and engineering workflows.
- Develop structured tool-calling patterns, validation logic, retry handling, grounded outputs, and human-approval workflows.
- Build evaluation, regression-testing, quality-validation, observability, and failure-analysis approaches for AI workflows.
- Define reusable APIs, schemas, contracts, tool interfaces, event patterns, integration standards, and architecture patterns.
- Design retrieval, semantic, knowledge-management, NL2SQL, AI-ready data-platform, security, governance, and hybrid deployment architectures.
- Partner with database, data, AI science, application, analytics, security, infrastructure, and domain teams.
- Evaluate emerging AI, data, search, agent, and model-serving technologies and determine where Oracle should 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.
- Expertise in tool and function calling, agent orchestration, prompt and context management, structured outputs, validation, retries, failure handling, and human-in-the-loop workflows.
- Experience with RAG, embeddings, vector and hybrid search, reranking, grounding, knowledge bases, semantic layers, and NL2SQL or conversational analytics.
- Experience building secure, measurable, production-ready AI systems with evaluation frameworks, regression testing, hallucination and grounding assessment, observability, latency and cost optimization, access controls, auditability, and prompt-injection 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.
- Experience with OCI Generative AI, Oracle AI Database or Vector Search, Select AI, OpenSearch, or comparable technologies is preferred.
- Must be a U.S. citizen due to the assigned client contract.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) savings and investment plan with company match.
- Paid vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Employee Stock Purchase Plan, financial planning, group legal, and voluntary auto, homeowner, and pet insurance.
- The role generally accepts applications for at least three calendar days from the posting date or while the job remains posted.
- The posting specifies U.S. hiring ranges and requires U.S. citizenship for this client-contract assignment.
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.