EP
Palantir Foundry Implementation Engineer
Accepting applicationsElan Partners · Texas, United States
Full-Time Mid_senior AIPython
Posted
4d ago
Category
Manufacturing
Experience
Mid_senior
Country
United States
Title: Palantir Foundry Implementation Engineer
Direct Hire Opportunity
No Sponsorship
Location: Remote (Texas Preferred – Dallas, Houston, or Austin)
The Palantir Foundry Implementation Engineer is a highly collaborative, hands-on engineering role responsible for rapidly delivering AI-driven solutions that improve operations across core platforms and workflows.
This role works directly with business stakeholders to identify, prototype, and deploy solutions using LLMs, agentic workflows, document intelligence, and enterprise integrations. The engineer operates in a highly iterative model, using AI-assisted development tools to deliver working solutions in days to weeks rather than traditional development cycles. The role will span Palantir Foundry/AIP, Microsoft Copilot Studio, Azure AI services, and AI-native tools such as Claude Code and CoWork. This is not an AI research or architecture role. The ideal candidate will have data engineering, enterprise integration, and consultative communication skills, and can use AI tools to accelerate delivery and enjoys building solutions, solving business problems, collaborating with users, and delivering value through rapid iteration.
Requirements
5+ years building production software and/or AI-enabled solutions
Hands-on experience implementing production solutions within Palantir Foundry (AIP experience is a plus).
Experience with Copilot Studio and/or Power Platform
Strong API and integration experience
Experience with Claude Code, Cursor, or similar tools
Experience with LLM workflows and agent-based systems
Proficiency in Python, JavaScript/TypeScript, SQL
Ability to work directly with business stakeholders
Strong system design and integration skills
Preferred
Experience with MCP or similar architectures
Experience with Azure AI services
Experience with RAG, embeddings, and evaluation frameworks
Experience with document intelligence workflows
Portfolio of real-world AI applications
Key Responsibilities - AI Solution Execution
Design, prototype, and deploy AI-enabled solutions using LLMs, agents, and document workflows
Build end-to-end solutions for operational use cases
Iterate rapidly based on stakeholder feedback
Platform & Tooling: Work across Palantir Foundry and AIP
Build solutions using Copilot Studio and Power Platform
Leverage Claude Code, Claude CoWork, and skill files
Extend MCP capabilities and reusable components
System Integration: Integrate Archer Connect, NetSuite, Jitbit, SharePoint
Build APIs, orchestration layers, and automation workflows
Use Case Development: Work directly with business stakeholders to identify opportunities
Determine build approach: off-the-shelf, low-code, or custom AI
AI-Native Delivery: Use rapid prototyping instead of spec-first development
Define prompts, evaluation criteria, and guardrails
Governance & Scaling: Apply security, access, and audit controls
Enable citizen builders via reusable patterns
Hybrid Delivery: Co-build with partners
Transition solutions internally
Show more Show less
Direct Hire Opportunity
No Sponsorship
Location: Remote (Texas Preferred – Dallas, Houston, or Austin)
The Palantir Foundry Implementation Engineer is a highly collaborative, hands-on engineering role responsible for rapidly delivering AI-driven solutions that improve operations across core platforms and workflows.
This role works directly with business stakeholders to identify, prototype, and deploy solutions using LLMs, agentic workflows, document intelligence, and enterprise integrations. The engineer operates in a highly iterative model, using AI-assisted development tools to deliver working solutions in days to weeks rather than traditional development cycles. The role will span Palantir Foundry/AIP, Microsoft Copilot Studio, Azure AI services, and AI-native tools such as Claude Code and CoWork. This is not an AI research or architecture role. The ideal candidate will have data engineering, enterprise integration, and consultative communication skills, and can use AI tools to accelerate delivery and enjoys building solutions, solving business problems, collaborating with users, and delivering value through rapid iteration.
Requirements
5+ years building production software and/or AI-enabled solutions
Hands-on experience implementing production solutions within Palantir Foundry (AIP experience is a plus).
Experience with Copilot Studio and/or Power Platform
Strong API and integration experience
Experience with Claude Code, Cursor, or similar tools
Experience with LLM workflows and agent-based systems
Proficiency in Python, JavaScript/TypeScript, SQL
Ability to work directly with business stakeholders
Strong system design and integration skills
Preferred
Experience with MCP or similar architectures
Experience with Azure AI services
Experience with RAG, embeddings, and evaluation frameworks
Experience with document intelligence workflows
Portfolio of real-world AI applications
Key Responsibilities - AI Solution Execution
Design, prototype, and deploy AI-enabled solutions using LLMs, agents, and document workflows
Build end-to-end solutions for operational use cases
Iterate rapidly based on stakeholder feedback
Platform & Tooling: Work across Palantir Foundry and AIP
Build solutions using Copilot Studio and Power Platform
Leverage Claude Code, Claude CoWork, and skill files
Extend MCP capabilities and reusable components
System Integration: Integrate Archer Connect, NetSuite, Jitbit, SharePoint
Build APIs, orchestration layers, and automation workflows
Use Case Development: Work directly with business stakeholders to identify opportunities
Determine build approach: off-the-shelf, low-code, or custom AI
AI-Native Delivery: Use rapid prototyping instead of spec-first development
Define prompts, evaluation criteria, and guardrails
Governance & Scaling: Apply security, access, and audit controls
Enable citizen builders via reusable patterns
Hybrid Delivery: Co-build with partners
Transition solutions internally
Show more Show less