**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. REQNUMBER: 2510243 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability