Solution Director, Data and AI

Strategic Leadership & Opportunity Development 

- Drive top-of-funnel opportunity creation through parallel tracks: opening enterprise AI platform conversations anchored in Palantir Foundry and AIP working demonstrations, engaging C-level stakeholders with generative AI demonstrations, and identifying data modernization needs for Lakehouse transformations 

- Lead the design and architecture of the solution portfolio: 

• Palantir Enterprise AI Platforms: Foundry data integration and ontology design, AIP application development, operational workflows, and decision intelligence solutions 

• Generative AI Solutions: RAG architectures and custom LLM solutions, including Amazon Bedrock and Amazon Q deployments 

• Data Modernization: Modern data architectures using Databricks and Snowflake, with AWS-native services (Glue, SageMaker Unified Studio) as supporting components 

- Act as the trusted advisor positioning Palantir Foundry/AIP as the operational backbone for decision intelligence, generative AI as the transformational vision, and grounding delivery in robust data platform modernization 

- Develop compelling business cases anchored in Palantir Foundry/AIP operational deployments that connect AI aspirations with practical data foundation requirements, demonstrating ROI across the portfolio 

- Stay current with advancements in Palantir Foundry/AIP capabilities (ontology-driven applications, agentic workflows), generative AI (foundation models, LLMs), and modern data architectures (Lakehouse patterns, data mesh, unified analytics) 

- Contribute to Rackspace intellectual property through reference architectures covering Palantir Foundry/AIP solution patterns, generative AI implementations, and data modernization design patterns 

Customer Engagement & Solution Delivery 

- Serve as the primary technical executive orchestrating Palantir Foundry/AIP platform engagements, generative AI discussions, and data modernization programs for strategic accounts 

- Build strategic relationships across engagement models: 

• Platform Level: Palantir Foundry/AIP workshops, ontology design sessions, and build-vs-buy platform evaluations (Foundry vs Databricks vs AWS-native) 

• Executive Level: art-of-the-possible sessions and generative AI demonstrations 

• Technical Level: modern data architecture workshops and platform assessments (Databricks, Snowflake, AWS-native), migration planning 

- Lead comprehensive consultative engagements anchored in Palantir Foundry/AIP operational deployments, informed by generative AI vision and translated into concrete data modernization roadmaps 

- Develop Statements of Work (SOWs) that balance Palantir Foundry/AIP implementation scope, innovative AI capabilities, and foundational data platform requirements  

- Guide customers through parallel journeys: Palantir Foundry/AIP adoption (ontology design to production decision intelligence), generative AI adoption (POCs to production), and data platform modernization (legacy to Lakehouse) 

- Collaborate with sales teams positioning the solution portfolio strategically based on customer maturity and needs 

Technical Excellence & Market Awareness 

Maintain deep expertise across the solution domains: 

• Palantir Enterprise AI Platforms: Foundry data integration and ontology design, AIP application development, operational workflows, decision intelligence, and platform governance 

• Generative AI: prompt engineering, RAG architectures, vector databases, Amazon Bedrock and Amazon Q 

• Data Platforms: Databricks, Snowflake, Apache Iceberg, Delta Lake, with AWS-native services (Glue, SageMaker Unified Studio, Redshift, EMR) as supporting components 

- Demonstrate comprehensive understanding of how Palantir Foundry/AIP operationalizes generative AI and modern data foundations through ontology-driven architectures 

- Guide architectural decisions on build vs. buy for enterprise AI operating platforms such as Palantir Foundry/AIP, AI capabilities, and data platform components 

Qualifications 

Required Experience 

• Proven experience delivering enterprise-scale solutions on Palantir Foundry and AIP: data modeling, pipeline development, ontology design, operational workflows, and AI-driven decision intelligence applications 

• Deep experience with generative AI technologies: LLM architectures, RAG implementations, Amazon Bedrock and Amazon Q 

• Proven track record delivering data modernization: modern data architectures, Databricks and/or Snowflake implementations, with AWS Glue/EMR as supporting components 

- At least 5 years as a senior-level architect or solutions leader with hands-on experience across Palantir Foundry/AIP implementations, AI/ML, and data platform modernization 

- Demonstrated success engaging C-level executives on Palantir Foundry/AIP decision intelligence solutions, generative AI demonstrations, and complex data platform transformations 

- Strong understanding across the full spectrum: 

• Enterprise AI Platforms: Palantir Foundry, AIP, ontology-driven architectures, knowledge graphs, operational AI governance 

• AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning 

• Data Platforms: modern data architectures, data mesh, ETL/ELT, streaming, data governance, data quality 

- Proven ability to articulate Palantir Foundry/AIP operational value, visionary AI possibilities, and practical data platform requirements to diverse audiences 

Preferred Qualifications 

- Experience with the Palantir partner ecosystem, and with AWS professional services or AWS partner ecosystem, across AI and data domains 

- Hands-on experience with: 

• Enterprise AI operating platforms such as Palantir Foundry/AIP, and knowledge graphs, semantic modeling, and ontology-driven data management 

• Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI 

• Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift) 

Industry certifications: 

• Palantir: Foundry Foundations, Data Engineer, or AIP certification (or ability to certify within 90 days of hire) 

• AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty 

• Platform specific: Databricks Certified, Snowflake SnowPro 

- Experience with regulated industries requiring governance across Palantir Foundry/AIP, AI, and data platforms 

- Track record building practices that deliver Palantir Foundry/AIP implementations, generative AI solutions, and data modernization programs 

- Published thought leadership in enterprise AI platforms such as Palantir Foundry/AIP, generative AI applications, and/or modern data architectures 

- Proficiency in Python, SQL, and Spark with hands-on experience in: 

• Palantir: Foundry pipeline development, ontology modeling, AIP application building 

• Generative AI: LangChain, vector databases, embedding models 

• Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools 

Educational Requirements 

- Bachelor's degree in computer science, Data Science, Engineering, Mathematics, or related technical field 

- Advanced degree (Master's or PhD) in a relevant field is highly preferred 

What We Offer 

- Opportunity to lead multiple portfolios anchored in enterprise AI platforms via Palantir Foundry/AIP, alongside generative AI innovation and data platform modernization 

- Direct engagement with C-level executives on transformational initiatives 

- Access to latest AWS technologies across Al and data services 

- Work with leading platforms: Palantir Foundry/AIP, Databricks, Snowflake, AWS native services 

- Comprehensive professional development and certification support 

Travel 

- As per business requirements 

- This role requires occasional travel (up to 25%) to customer sites and industry events