Senior Agentic AI Engineer

Blue Orange Digital

. Own agentic AI use cases end to end, from ideation and rapid experimentation through development, testing, and production deployment .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $1 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML and data engineering, with a focus on building and deploying LLM-driven workflows and agentic AI solutions. Proficient in utilizing cloud platforms like Azure and Databricks, along with strong skills in Python, SQL, and CI/CD practices.

Highest-signal resume keywords

AI/ML ExperienceLLM EngineeringAzure AI FoundryData EngineeringGitHub and CI/CD

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLData EngineeringLLM DeploymentModel SelectionCost OptimizationAgent Skills DevelopmentSemantic Layer DefinitionData Pipeline EngineeringProduction Deployment

Soft Skills

Clear CommunicationClient Stakeholder Engagement

Tools & Technologies

Palantir FoundryAIP LogicAIP AutomateAIP AssistAzureDatabricksDatabricks GenieGitHubCI/CD PipelinesAgentic Applications

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Agentic AIData ScienceMachine LearningCloud PlatformsProduction Lifecycle

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Own agentic AI use cases end to end, from ideation and rapid experimentation through development, testing, and production deployment
Design and build modular agent skills and tools supporting multiple business workflows
Model and extend the Palantir Foundry Ontology, including Object Types, Link Types, Action Types, and Interfaces
Build LLM-driven workflows with AIP Logic, AIP Automate, and AIP Assist and deploy them within the Palantir platform
Engineer structured and unstructured data pipelines feeding agentic applications across Foundry, Azure, and Databricks
Define semantic layers, ontologies, and context layers for 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
Share Palantir knowledge with pod teammates
Deliver production-grade data platforms, ML systems, and analytics solutions as part of a data engineering and AI consultancy

Requirements

What you’ll need

7+ years of hands-on experience in AI/ML, data science, or LLM engineering
Production work on cloud platforms
Proven agentic AI delivery across the full lifecycle, from experimentation to production
Experience building composable agent skills and tools
Hands-on experience deploying LLMs from OpenAI, Anthropic, or other major providers
Experience with model selection, deployment trade-offs, and cost optimization
Data engineering experience with structured and unstructured data for AI applications, including RAG, retrieval, and 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
Availability for a 15-month engagement
Clear written and verbal communication in English
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
Background checks may be required for certain positions and projects

Benefits

Comp & perks

Competitive compensation with performance-based bonus potential
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
Long-term, 15-month engagement with possibility to extension
Hands-on work with Palantir Foundry and AIP alongside Azure, Databricks, and frontier LLMs
Small senior pods with structured Palantir upskilling and mentoring
Diverse, challenging projects across industries
Builder culture where engineers lead and ship