SAIC
SAIC

AI Engineer

College Park, MD, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
USD $80,001.00 - 120,000.00 per year
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Job Details

Skills

  • Security Clearance
  • Data Integration
  • Data Warehouse
  • Data Engineering
  • Warehouse
  • Reference Data
  • Documentation
  • Natural Language
  • Product Analysis
  • Semantics
  • Mentorship
  • Computer Science
  • Python
  • API
  • Software Engineering
  • Database
  • Dashboard
  • Data Modeling
  • Reporting
  • Tableau
  • Microsoft Power BI
  • DAX
  • SQL
  • Evaluation
  • Automated Testing
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Communication
  • Collaboration
  • Semantic Search
  • PySpark
  • Unity
  • Business Intelligence
  • Access Control
  • Performance Tuning
  • Artificial Intelligence
  • Workflow
  • Auditing
  • Databricks
  • Amazon Web Services
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

Job ID: 2618618

Location: College Park, MD, US

Date Posted: 2026-11-02

Category: Software

Subcategory: SW Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_HYBRID

Description

Position Overview

We are seeking a Senior AI Engineer to design, develop, and deploy IRIS, an AI agent supporting the HFDP Data Integration project. IRIS will help users discover, connect, and understand product information across investigations, inspections, and recalls using enterprise data warehouse resources. The ideal candidate combines AI agent development expertise with strong data engineering skills, hands-on Tableau and Power BI experience, and working knowledge of Databricks.

Key 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, and source-grounded responses.
  • Integrate product-name matching and entity resolution to connect records across domains.
  • Develop and maintain Tableau and Power BI dashboards and reports supporting product analysis and validation of IRIS results.
  • Work with Tableau data sources and Power BI semantic models to maintain consistent business definitions and metrics.
  • Use Databricks notebooks, SQL, and existing workflows to support 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.


Qualifications

Required Qualifications:
  • 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 experience with both Tableau and Power BI, including dashboard development, data modeling, calculations, and report validation.
  • Familiarity with Tableau calculated fields and Power BI DAX and Power Query.
  • Some practical Databricks experience, including notebooks, SQL, and working with existing data workflows.
  • Experience with AI evaluation, automated testing, Git, CI/CD, and cloud deployment.
  • Strong communication skills and the ability to collaborate with technical teams and business stakeholders.

Preferred Qualifications:
  • Experience with product entity resolution, semantic search, embeddings, and vector retrieval.
  • Familiarity with Databricks Delta tables, PySpark, MLflow, or Unity Catalog.
  • Experience with BI access controls, refresh processes, and performance optimization.
  • Experience developing AI agents in enterprise or regulated environments.
  • Familiarity with investigations, inspections, recalls, or regulatory data.
  • Experience implementing source citations, human review workflows, and audit logging..
  • Preferred: Databricks and AWS certification.


Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111346
  • Position Id: 2618618
  • Posted 4 hours ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.​​​ For more information, visit saic.com. For ongoing news, please visit our newsroom.

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