Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus)

Title: Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus)

Client: Global AI Professional Services

Location: Chicago, Illinois - Hybrid

Employment Type: Contract-to-Hire (U.S. Citizen or Green Card Required)



Role Overview
CoSourcing Partners' AI Staffing and Digital Talent Enablement practice is expanding, and we are seeking three Lead Forward Deployed Architects to serve as hands-on technical authorities for our enterprise AI and data transformation programs.
These roles combine deep technical expertise in Palantir Foundry , AI/ML , and cloud-based data ecosystems with client-facing leadership to solve complex integration, scalability, and performance challenges. The ideal candidate operates comfortably at the intersection of business strategy and technical delivery - ensuring every solution is engineered for performance, governance, and measurable business value.



Key Responsibilities

• Palantir Delivery Leadership: Design, configure, and optimize Palantir Foundry pipelines, ontologies, and data workflows to unify data and enable decision intelligence.
• AI & Automation Solutions: Architect and deploy intelligent automation solutions leveraging Palantir Foundry , UiPath , and Microsoft Power Platform .
• Data Engineering: Design, build, and optimize large-scale data pipelines (ETL/ELT, data warehousing, data lakes) ensuring scalability and performance.
• Programming & Integration: Develop automation scripts and APIs using Python , SQL , and RESTful architectures for seamless platform interoperability.
• Data Governance: Implement AI governance, metadata management, and compliance frameworks ensuring responsible and auditable automation.
• Cloud & Data Architecture: Deliver secure, scalable ecosystems integrating Azure , AWS , GCP , Databricks , and Snowflake .
• Client Engagement: Partner with business stakeholders to translate strategic requirements into actionable, high-value solutions.
• Cross-Functional Collaboration: Work with engineering, compliance, and commercial teams to deliver end-to-end implementations.
• Leadership & Enablement: Mentor global delivery teams and conduct user enablement, workshops, and documentation for sustainable adoption.

Preferred Qualifications

• Hands-on experience with Palantir Foundry and AIP , including ontology design, pipeline management, and data lineage modeling.
• Proven expertise in AI/ML model lifecycle integration and production deployment.
• Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with Power BI , Tableau , or similar analytics tools.
• Background in regulated industries such as healthcare, financial services, or defense .
• Consulting or hybrid client-facing technical delivery experience.
• Strong capability in performance and scalability tuning for enterprise systems.

Core Competencies

• Enterprise AI & Automation Strategy
• Palantir Foundry Architecture & Ontology Design
• Cloud Modernization (Azure, AWS, GCP)
• Data Fabric, MDM, and Governance
• Intelligent Automation (UiPath, Power Automate)
• GenAI & Agentic AI Integration
• KPI Frameworks & Business Process Optimization
• Cross-Functional Stakeholder Leadership

Technical Expertise

• AI & Automation Platforms: Palantir Foundry, UiPath, Power Automate, Process Tempo, GenAI, Agentic AI, ChatGPT-based tools
• Cloud & Data Platforms: Azure, AWS, Google Cloud (GCP), Databricks, Snowflake, Informatica, Reltio
• Data Integration & Governance: APIs, Data Mesh, Data Fabric, Metadata Management, Data Quality, Cataloging
• Analytics & BI: Power BI, Tableau, Predictive Modeling, KPI Dashboards
• Programming & DevOps: Python, SQL, JSON, Terraform, CI/CD, Cloud Security
• Palantir Competencies:
  • Ontology & Data Lineage Design
  • Foundry Pipeline Orchestration
  • Code Workbook & Contour Automation
  • Slate/Workshop Application Development
  • Governance & Permission Modeling

Performance Outcomes

• Deliver measurable enterprise value across multiple AI and data transformation programs.
• Generate multi-million-dollar efficiencies and revenue growth through automation and cloud modernization.
• Drive measurable ROI by scaling transformation portfolios through data- and AI-driven decisioning.

Education

• Master of Business Administration (MBA)
• Master of Science (MS), Computer Science
• Executive Certification, Program Management