palantir-foundry jobs in San Diego

This is a Principal cloud architect role for AWS focused on healthcare and life sciences customers. The role requires 7+ years of experience with data and AI technologies (ML, GenAI, analytics, databases), deep knowledge of AWS services (SageMaker, Bedrock, Neptune, Redshift, S3), and proven ability to shape large-scale AI and data transformation programs in pharma/biotech R&D and clinical development.…See more Responsibilities include technical pre-sales, solution architecture, opportunity shaping, and translating complex data architecture concepts for both scientific and executive stakeholders. The ideal candidate has domain expertise in R&D data ecosystems, regulatory frameworks (GxP, 21 CFR Part 11, HIPAA, GDPR), and data standards (FHIR).

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

Design, implement, and troubleshoot AI/LLM-enabled software solutions for Navy cyber missions, including scripts, services, APIs, and automation workflows. Integrate systems across REST/HTTP APIs, relational and NoSQL data stores, and cloud or enterprise environments while respecting RMF controls and secure engineering practices.…See more Translate mission and security requirements into concrete technical tasks, deliver hands-on code in Python, and communicate trade-offs to both technical and non-technical stakeholders. Work in small Agile teams using Git and code review practices, with mentorship to reduce cyber risk across fleet and ashore enterprise.

Develop and maintain user interfaces, dashboards, and data visualizations within Palantir Foundry MSS or similar enterprise platforms. Apply UI/UX design principles to translate complex data and operational workflows into intuitive, actionable visual experiences.…See more Collaborate with cross-functional teams and end-users to gather requirements, troubleshoot issues, and iteratively improve applications. Strong skills in frontend development (React, TypeScript, JavaScript, HTML, CSS), data visualization, and component-based design are required.

An AI Solutions Architect role focused on designing and developing analytics solutions using Palantir Foundry for U.S. Defense clients.…See more The role requires 3+ years of Python or TypeScript experience, hands-on expertise with Palantir Foundry AIP, Ontology Manager, data ingestion/transformation tools, and CI/CD workflows. You'll work within Agile teams to translate stakeholder requirements into technical solutions integrating data engineering, data science modeling, and AI/ML capabilities.

Design and build Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze unstructured datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Troubleshoot pipeline issues, document processes and architecture, and partner with cross-functional teams to integrate data outputs into downstream applications and dashboards.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

A junior software developer role focused on designing, implementing, and integrating AI/LLM-enabled automation and analytics for Navy cybersecurity and mission workflows. You will participate in technical discussions with cybersecurity specialists and mission partners, contribute to solution architecture and tradeoff analysis, and deliver hands-on work including scripts, APIs, and AI-assisted workflows.…See more The role requires hands-on coding in Python, API integration (REST/HTTP), version control (Git), and the ability to communicate technical concepts to non-specialists while respecting RMF, security controls, and responsible AI practices in classified or controlled environments.

Develop and maintain user-facing applications, dashboards, and workflows within Palantir Foundry, building interactive visualizations and analytics tools that transform complex data into actionable insights. Collaborate with Solutions Architects and data engineers to understand data pipelines and surface data effectively; work directly with Navy stakeholders to gather requirements and iterate on designs.…See more Implement frontend components using Foundry's Workshop, Slate, or similar tools; write and optimize SQL and Python queries to retrieve and transform data. Ensure applications meet usability, performance, and security standards while participating in Agile ceremonies and supporting testing and deployment in production.

As a Forward Deployed Engineer, you'll design and build production-grade data pipelines and ontologies within Palantir Foundry to solve mission-critical problems for defense clients. You'll translate complex mission requirements into technical architectures, develop workflows and decision-support capabilities, and collaborate with engineers, analysts, and stakeholders to deploy Foundry-based applications.…See more The role requires 3+ years in software, data analytics, or platform engineering with hands-on Foundry and ontology design experience, plus the ability to work embedded at client sites and obtain a Secret clearance.

Lead a Palantir Forward Deployed Engineering team for the Government & Public Services practice, guiding architecture of data pipelines powering GenAI use cases. You will contribute production-quality code, enforce strong data management and CI/CD practices, and translate business problems into AI solutions while working with federal/state/local government clients.…See more The role requires 10+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir (Foundry, AIP, or Maven), with deep familiarity in AWS, Azure, and/or Google Cloud environments.