Note: The job is a remote job and is open to candidates in USA. Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, machine learning systems, and analytics solutions. The Senior Agentic AI Engineer will take agentic AI use cases from ideation through production, building modular agent skills, enterprise data pipelines, semantic layers, and LLM-driven workflows across Palantir Foundry, Azure, Databricks, OpenAI, and Anthropic. The role also involves client collaboration, CI/CD automation, and production deployment optimization.
Responsibilities
- Own agentic AI use cases end to end: ideation, rapid experimentation, development, testing, and production deployment
- Design and build modular agent skills and tools that combine to support multiple business workflows
- Model and extend the Palantir Foundry Ontology (Object Types, Link Types, Action Types, Interfaces) to ground agents in trusted enterprise data
- Build LLM-driven workflows with AIP Logic, AIP Automate, and AIP Assist, and deploy them within the Palantir platform
- Engineer pipelines for structured and unstructured data that feed agentic applications across Foundry, Azure, and Databricks
- Define semantic layers, ontologies, and context layers that give agents the right business context
- Select, deploy, and cost-optimize models from OpenAI, Anthropic, and other providers, including through Azure AI Foundry and Databricks Genie
- Build and maintain GitHub repositories and automated CI/CD pipelines for secure, repeatable production releases
- Work directly with client stakeholders in discovery sessions and share Palantir knowledge with your pod teammates
Skills
- 7+ years of hands-on experience in AI/ML, data science, or LLM engineering, with production work on cloud platforms
- Proven agentic AI delivery across the full lifecycle, from experimentation to production, including building composable agent skills and tools
- Hands-on experience deploying LLMs from OpenAI, Anthropic, or other major providers, with a clear view of model selection, deployment trade-offs, and cost
- Data engineering experience with structured and unstructured data for AI applications (RAG, retrieval, document processing)
- Experience with Azure (including Azure AI Foundry) and/or Databricks (including Databricks Genie)
- GitHub and DevOps skills, including building CI/CD pipelines for production deployments
- Strong Python and SQL
- Clear written and verbal communication in English, with experience working directly with client stakeholders
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- Palantir Foundry and AIP experience (strongly preferred), ideally having taken a use case end to end on the platform
- Depth in Foundry Core: Ontology Manager, Object Types, Link Types, Action Types, Interfaces, Property Sets, Object Explorer, Data Lineage, CBAC, Ontology Linter, and Foundry Marketplace
- Experience with AIP Logic, AIP Automate, and AIP Assist
- Experience defining semantic layers, ontologies, or context spines on Azure, AWS, or GCP
- DevSecOps experience: secrets management, security scanning, and policy controls in CI/CD
- Palantir certifications, experience fine-tuning LLMs, or background with retail or CPG data (promotions, pricing, space planning)
Benefits
- Competitive compensation with performance-based bonus potential
- Work on diverse, challenging projects across industries
- Direct access to a modern tech stack: Snowflake, Databricks, AWS, GCP, and Azure
- Fully remote work arrangement with a flexible schedule
- Unlimited Paid Time Off (PTO), paid parental and bereavement leave
- Hands-on work with Palantir Foundry and AIP alongside Azure, Databricks, and frontier LLMs
- Small senior pods: Palantir experts take on a visible mentoring role, and everyone else gets structured Palantir upskilling
Company Overview