C
Senior AI Engineer
ConsultNet
3 hours ago
Full-time
On-site
New York City, New York, United States
Job-ID29346346Reference26-02005Title: Senior Agentic AI Engineer (Palantir Foundry and AIP)
Location: Remote
Target Start Date: ASAP (by October 31)
Type: C
Salary / Pay Rate: DOE
Why Work Here
This is a data and AI consultancy of builders, not a slide-deck shop. Engineers embed directly with client teams, ship code alongside them, and are trusted with real ownership from day one. You will be included in decisions, work directly with senior leadership, and never be micromanaged. The firm is an official Claude partner, partners with Databricks, Snowflake, AWS, GCP, and Azure, and builds with modern AI tooling every day. AI is the core of what the firm does, so strong engineers get pulled into new work across the business. About the Role
We are building a team of senior AI engineers, including one team lead, 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 models from OpenAI and Anthropic. This is a fast build-and-ship environment where your work reaches real users and the capabilities you build compound across multiple business use cases. It rewards engineers who can move quickly, consult directly with demanding stakeholders, and take and give candid feedback. Responsibilities Own agentic AI use cases end to end, from ideation and rapid experimentation through 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 Palantir 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 Lead discovery sessions with client stakeholders and share Palantir knowledge across your pod Required Skills 7+ years of hands-on experience in AI/ML, data science, or LLM engineering, with production work on cloud platforms Has shipped at least one agent or LLM workflow that reached real users or a live production system (prototypes, demos, and hackathon projects alone do not meet this requirement) Hands-on experience with Palantir Foundry and AIP, ideally taking a use case end to end on the platform Hands-on experience deploying LLMs from OpenAI, Anthropic, or other major providers, with a clear view of model selection, deployment tradeoffs, and cost Data engineering experience with structured and unstructured data for AI applications, such as 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 Experience working directly with client stakeholders, and availability for a 15-month engagement Bonus / Soft Skills 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 Palantir experience from the Army Vantage program or other federal government work Palantir certifications Experience leading a small engineering team or pod (for the team lead role) Experience defining semantic layers, ontologies, or context layers on Azure, AWS, or GCP DevSecOps experience: secrets management, security scanning, and policy controls in CI/CD Deep experience with Claude and Anthropic tooling Experience fine-tuning LLMs Retail, Client, or financial services data experience Thick skin and comfort with fast, direct feedback, both giving and receiving it Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Location: Remote
Target Start Date: ASAP (by October 31)
Type: C
Salary / Pay Rate: DOE
Why Work Here
This is a data and AI consultancy of builders, not a slide-deck shop. Engineers embed directly with client teams, ship code alongside them, and are trusted with real ownership from day one. You will be included in decisions, work directly with senior leadership, and never be micromanaged. The firm is an official Claude partner, partners with Databricks, Snowflake, AWS, GCP, and Azure, and builds with modern AI tooling every day. AI is the core of what the firm does, so strong engineers get pulled into new work across the business. About the Role
We are building a team of senior AI engineers, including one team lead, 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 models from OpenAI and Anthropic. This is a fast build-and-ship environment where your work reaches real users and the capabilities you build compound across multiple business use cases. It rewards engineers who can move quickly, consult directly with demanding stakeholders, and take and give candid feedback. Responsibilities Own agentic AI use cases end to end, from ideation and rapid experimentation through 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 Palantir 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 Lead discovery sessions with client stakeholders and share Palantir knowledge across your pod Required Skills 7+ years of hands-on experience in AI/ML, data science, or LLM engineering, with production work on cloud platforms Has shipped at least one agent or LLM workflow that reached real users or a live production system (prototypes, demos, and hackathon projects alone do not meet this requirement) Hands-on experience with Palantir Foundry and AIP, ideally taking a use case end to end on the platform Hands-on experience deploying LLMs from OpenAI, Anthropic, or other major providers, with a clear view of model selection, deployment tradeoffs, and cost Data engineering experience with structured and unstructured data for AI applications, such as 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 Experience working directly with client stakeholders, and availability for a 15-month engagement Bonus / Soft Skills 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 Palantir experience from the Army Vantage program or other federal government work Palantir certifications Experience leading a small engineering team or pod (for the team lead role) Experience defining semantic layers, ontologies, or context layers on Azure, AWS, or GCP DevSecOps experience: secrets management, security scanning, and policy controls in CI/CD Deep experience with Claude and Anthropic tooling Experience fine-tuning LLMs Retail, Client, or financial services data experience Thick skin and comfort with fast, direct feedback, both giving and receiving it Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.