AI Data Architect

Job
Location: REMOTE WORK, TX, United States
Date Posted: Nov 26, 2025
Category: Engineering and Sciences
Subcategory: Solutions Archt
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: Remote
Benefits:

SAIC is seeking an AI Data Architect with evolved AI/ML specialization and Palantir expertise to join the IRS Advanced Analytics Program (AAP). This role extends beyond traditional data engineering into shaping AI/ML and GenAI architectures, ensuring that IRS mission teams can securely and effectively build, train, and operationalize models across Databricks, AWS Sage Maker/Bedrock, and Palantir Foundry.

The Data Architect will define enterprise data strategies, AI/ML workflows, and integration patterns, while embedding Trustworthy AI, bias detection, and compliance into design. Acting as both a data strategist and AI/ML specialist, this role will directly influence how AAP evolves to support scalable, interoperable, and future‑ready AI/ML solutions.

• Define and evolve AI/ML and data architectures that support traditional models, LLMs, and GenAI workflows across Databricks, AWS, and Palantir.
• Partner with architects, data engineers, and AI/ML engineers to design end-to-end pipelines for training, fine‑tuning, and inference.
• Architect Palantir Foundry integrations with AAP services, ensuring cross‑platform data interoperability and secure access.
• Lead design of metadata, lineage, and governance frameworks to support compliance, explainability, and audit readiness.
• Collaborate with Trustworthy AI specialists to embed fairness, transparency, and bias detection into model workflows.
• Partner with the Chief Architect and Product Manager to shape the roadmap for AI/ML enablement and Palantir integration
  .
• Provide strategic guidance on emerging AI/ML and GenAI technologies and evaluate integration opportunities.
• Contribute to reference architectures, best practices, and onboarding playbooks for mission teams.
• Mentor engineers and analysts to elevate AI/ML maturity across the program
  .

• Bachelor’s or master’s degree in computer science, Data Engineering, or AI/ML-related field.
• Ability to obtain and maintain a Public Trust requiring U.S. Citizenship.
• 8+ years of experience in data architecture with progression into AI/ML solution design
  .
• Hands‑on expertise with Palantir Foundry (data integration, ontology modeling, governance).
• Strong experience with Databricks (Spark, Delta Lake, MLflow) and AWS AI/ML services (Sage Maker, Bedrock, Glue, Redshift).
• Proven ability to design AI/ML and GenAI workflows (data prep, training, fine‑tuning, inference).
• Solid understanding of federal compliance, audit requirements, and secure boundary design
  .

• Certifications:
  
  Databricks Architect, AWS Machine Learning Specialty, or Palantir Foundry certification
  .
• Knowledge of LLM/GenAI engineering patterns (prompt pipelines, RAG, multi‑model orchestration).
• Familiarity with Trustworthy AI principles and embedding them into operational pipelines.
• Experience guiding enterprise AI strategy in regulated domains.
• Strong leadership and mentoring skills to elevate cross‑functional AI/ML maturity.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC® is a premier Fortune 500® 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, civilian and intelligence 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 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer.

Please apply through the internal career site here >