Saic
Overview
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. Compensation
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Overview
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. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
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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. Compensation
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. Overview
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. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
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