[ASP] Senior AI Engineer with Palantir

Project the aim youll have

You will join a 15-month AI transformation engagement for an international management consulting client delivering production-ready Agentic AI solutions across diverse business use cases. Working in one of two cross-functional pods of Senior Data and AI Engineers you will take solutions from ideation and experimentation through deployment. The project offers hands-on work with Palantir Foundry and AIP modern LLMs Azure and Databricks in a fast-paced environment.

Role how youll contribute

• Design build test and productionize Agentic AI solutions across the end-to-end use case lifecycle.
• Develop modular AI agents tools and reusable capabilities supporting multiple business use cases.
• Engineer data pipelines and data products for structured and unstructured data using Palantir Foundry.
• Design and maintain Foundry ontologies including Object Types Link Types Action Types Interfaces and Property Sets.
• Build and deploy LLM-powered workflows using Palantir AIP Logic AIP Automate and AIP Assist.
• Integrate and evaluate models from OpenAI Anthropic and other LLM providers considering quality security and cost.
• Implement automated testing observability guardrails and secure CI/CD pipelines supporting production deployments.
• Collaborate with client stakeholders and pod members sharing Palantir expertise and upskilling other engineers.

Qualifications :

Expectations the experience you need

• Strong commercial experience designing building and deploying Agentic AI and multi-agent solutions in production environments.
• Hands-on experience with Palantir Foundry and Palantir AIP covering data engineering ontology development and AI/LLM workflows.
• Strong Python skills and practical experience with agent frameworks such as LangGraph LangChain LlamaIndex or similar.
• Experience building data pipelines and semantic or context layers using structured and unstructured data.
• Hands-on experience with leading LLM providers RAG architectures vector databases and model integration.
•  Experience with Git-based development automated testing CI/CD pipelines and DevSecOps practices.
• Understanding of LLM evaluation AI guardrails observability and responsible AI principles.
• Strong English communication skills and the ability to collaborate with clients cross-functional teams and other engineers.

Additional skills the edge you have

• Experience with advanced Palantir capabilities such as CBAC attribute sets Data Lineage Ontology Linter and Foundry Marketplace.
• Hands-on knowledge of Azure AI Foundry Databricks and Databricks Genie.
• Experience designing semantic layers ontologies or context spines across Azure AWS or GCP environments.
• Knowledge of LLM model selection performance optimization and cost management.
• Previous experience in consulting rapid prototyping or upskilling engineering teams.

Additional Information :

What we offer:

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access* to language classes
• Access* to knowledge-sharing initiatives
• Access* to private healthcare and life insurance
• Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.

Remote Work :

Yes

Employment Type :

Full-time