Senior Agentic AI Engineer

Blue Orange Digital•New York, NY

1d•Remote

About The Position

We are hiring several Senior Agentic AI Engineers for a 15-month enterprise AI program with a global client. Working in small, senior pods, you will take agentic AI use cases from first idea to production, building reusable agent skills on Palantir Foundry and AIP, Azure, Databricks, and frontier LLMs from OpenAI and Anthropic. This is a fast build-and-ship environment. Your work reaches production, and the capabilities you build compound across multiple business use cases over the life of the program.

Requirements

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
Comfort in a rapid development and deployment environment, and availability for a 15-month engagement
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

Nice To Haves

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)

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

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
Builder culture where engineers lead and ship
Fully remote work arrangement with a flexible schedule
Unlimited Paid Time Off (PTO)
Paid parental leave
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