15 hours ago
College Park, MD, USASenior
Responsibilities
- Develop IRIS’s agent architecture, conversational capabilities, workflows, and tool integrations.
- Translate business requirements into AI capabilities and measurable acceptance criteria.
- Connect IRIS to approved warehouse views, APIs, reference data, and documentation.
- Implement natural language querying, retrieval, source-grounded responses, product-name matching, and entity resolution.
- Develop and maintain Tableau and Power BI dashboards and reports for product analysis and IRIS-result validation.
- Use Databricks notebooks, SQL, and existing workflows for data preparation, experimentation, and AI integration.
- Implement access controls, human review, error handling, and traceability.
- Build evaluations for response accuracy, retrieval relevance, tool execution, and task completion.
- Deploy and monitor AI services for reliability, performance, usage, and cost.
- Collaborate with domain experts, BI developers, data engineers, and architects; document solutions and mentor team members.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- 5+ years of relevant software, data, or AI engineering experience, including production AI delivery.
- Strong Python, SQL, API development, and software engineering skills.
- Hands-on experience developing LLM applications with tool calling, structured outputs, retrieval-augmented generation, and multi-step agent workflows.
- Experience integrating AI applications with enterprise databases and services.
- Hands-on Tableau and Power BI experience, including dashboard development, data modeling, calculations, and report validation.
- Familiarity with Tableau calculated fields, Power BI DAX, and Power Query.
- Practical Databricks experience with notebooks, SQL, and existing data workflows.
- Experience with AI evaluation, automated testing, Git, CI/CD, and cloud deployment.
- Strong communication and collaboration skills with technical teams and business stakeholders.
- Preferred experience includes product entity resolution, semantic search, embeddings, vector retrieval, Databricks Delta tables, PySpark, MLflow, Unity Catalog, BI access controls, refresh processes, performance optimization, enterprise or regulated AI agents, source citations, human review workflows, and audit logging.
- Preferred Databricks and AWS certification.
Categories
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.