Thought Logic Consulting

AI Engineer

• Design, build, and deploy scalable data and AI solutions using Palantir Foundry, including Foundry data pipelines, data modeling, and operational workflows.
• Develop and prototype GenAI- and LLM-powered solutions using Palantir AIP and related enterprise AI capabilities.
• Embed with client teams to identify high-value use cases and translate business requirements into technical solutions.
• Lead working sessions with senior stakeholders.
• Build production-quality data and AI applications using testing, CI/CD, version control, logging, documentation, and performance optimization.
• Develop agentic AI workflows, tool-use patterns, and human-in-the-loop controls while balancing quality, safety, latency, cost, and model risk.
• Integrate Palantir solutions with enterprise systems, cloud platforms, APIs, microservices, and data sources.
• Lead project workstreams and mentor team members.
• Create reusable Palantir assets, implementation patterns, documentation, and reference solutions.
• Collaborate with client executives, business leaders, product owners, architects, engineers, data teams, Palantir-focused delivery teams, Thought Logic consultants, and technical leaders.

Managing Consultant, Palantir Data & AI Engineer

Financial Planning and Analysis

• Participate in client and internal project meetings with senior consultants and business leaders.
• Assist with key phases of the project life cycle, from requirements gathering through solution delivery.
• Learn how consultants approach real-world business challenges and craft innovative solutions.
• Gain exposure and training to EPM technologies, including OneStream and Oracle EPM Cloud.
• Contribute to internal initiatives, with the chance to see work applied to live projects.
• Create and deliver a capstone presentation to firm leadership at the end of the internship.

Finance Transformation Intern

Architect

• Design and build scalable data engineering solutions using Databricks Lakehouse, including Delta Lake, Unity Catalog, Delta Live Tables/Lakeflow Declarative Pipelines, Delta Sharing, and Uniform (Iceberg) where appropriate
• Develop and optimize batch, micro-batch, and streaming data pipelines using Auto Loader, Apache Spark, PySpark, SQL, and Python
• Build robust ETL/ELT processes, data models, and orchestration workflows using Databricks Jobs/Workflows, Airflow, dbt, and modern data engineering patterns
• Implement data quality, observability, governance, auditability, and performance optimization capabilities across enterprise data platforms
• Establish modern CI/CD and DevOps practices for data engineering, including Databricks Asset Bundles, automated testing, deployment automation, and Infrastructure as Code with tools such as Terraform
• Work alongside experienced architects and consultants while taking ownership of technical delivery
• Develop client-facing and consulting skills
• Collaborate with consultants, architects, engineers, and cross-functional stakeholders across technology, analytics, business operations, and leadership

Managing Consultant, Palantir Data & AI Engineer

Finance Transformation Intern

Managing Consultant, Databricks Engineer/Architect