Lead Data & AI Engineer (Palantir Foundry/AIP)

Software Mind Americas

United States

Remote

USD 180,000 - 240,000

Full time

14 hours ago
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Job summary

Software Mind Americas is assembling a senior team to design and deploy enterprise AI solutions for a global consulting client. You will drive production-grade Palantir Foundry and AIP projects, guiding solution design and mentoring engineers.

You will work directly with client stakeholders, translating business problems into concrete implementations, and deliver end-to-end data pipelines and ontologies while staying hands-on as a lead contributor.

Qualifications

  • Hands-on Palantir Foundry and/or AIP experience on real client or production projects.
  • Experience developing agentic or GenAI applications is strongly preferred.
  • Strong software engineering and problem-solving skills.
  • Experience integrating AI with enterprise data sources, APIs, and business systems.
  • Solid data engineering background across structured and unstructured data.
  • Comfortable with fast delivery cycles and changing requirements.
  • Strong English and clear communication with both technical and business people.
  • Able to work EST business hours.

Responsibilities

  • Build and manage Foundry data pipelines, ontology components, and applications.
  • Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets.
  • Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist.
  • Take agentic AI use cases from prototype to production: build, test, deploy, monitor.
  • Serve as the team’s Palantir lead, remaining hands-on while guiding solution design, reviewing code, coaching engineers, and resolving blockers.
  • Own technical delivery of assigned solutions, translating business requirements into implementation plans and guiding production deployment.
  • Lead technical discussions with client stakeholders, explaining design decisions, trade-offs, dependencies, and delivery risks.

Skills

Palantir Foundry
AIP
GenAI
Data engineering
English communication
Client collaboration

Tools

GitHub
Azure
Databricks

Job description

About the role

We're putting together a senior team for a global consulting client building and deploying enterprise AI solutions at a fast pace. You'll take business problems from idea to production on Palantir Foundry and AIP, combining hands‑on development with technical leadership. You'll guide solution design, work directly with client stakeholders, and help other engineers become productive on the platform.

Company Description
About the role

We're putting together a senior team for a global consulting client building and deploying enterprise AI solutions at a fast pace. You'll take business problems from idea to production on Palantir Foundry and AIP, combining hands‑on development with technical leadership. You'll guide solution design, work directly with client stakeholders, and help other engineers become productive on the platform.

Job Description
What you'll do
  • Build and manage Foundry data pipelines, ontology components, and applications
  • Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets
  • Build LLM‑powered workflows with AIP Logic, AIP Automate, and AIP Assist
  • Take agentic AI use cases from prototype to production: build, test, deploy, monitor
  • Serve as the team’s Palantir lead, remaining hands‑on while guiding solution design, reviewing code, coaching engineers, and resolving technical blockers.
  • Own technical delivery of assigned solutions, translating business requirements into clear implementation plans and guiding work through production deployment.
  • Lead technical discussions with client stakeholders, explaining design decisions, trade‑offs, dependencies, and delivery risks.
Qualifications
What we're looking for
  • Hands‑on Palantir Foundry and/or AIP experience on real client or production projects
  • Experience developing agentic or GenAI applications is strongly preferred.
  • Strong software engineering and problem‑solving skills
  • Experience integrating AI with enterprise data sources, APIs, and business systems
  • Solid data engineering background across structured and unstructured data
  • Comfortable with fast delivery cycles and requirements that change
  • Strong English and clear communication with both technical and business people
  • Able to work EST business hours
Nice to have
  • Solutions deployed to production inside Palantir
  • Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
  • Semantic layers, ontologies, or knowledge graphs (Azure, AWS, GCP, Palantir, or Databricks)
  • Azure, Azure AI Foundry, Databricks / Genie
  • CI/CD with GitHub, DevOps / DevSecOps tooling
  • Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization
  • Experience building reusable agent skills, tools, or components that support multiple use cases
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