AI Data Architect

Job ID: 2510243

Location: REMOTE WORK, TX, US

Date Posted: 2025-09-25

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: Yes

Description

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 SageMaker/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.

Key Responsibilities:

• 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.

Qualifications

Required Qualifications:

• 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 (SageMaker, 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.

Desired Skills:

• 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.