Senior Enterprise Architect

Overview

Data42 is a data and analytics platform, that allows us to integrate different data modalities at scale (discovery, preclinical, clinical, RWD etc.), to support data-driven decision making across the organization.

We are looking for a candidate with deep expertise in AI/ML platforms

This role combines hands-on full-stack development with strategic architectural leadership, requiring both technical depth and the ability to design comprehensive enterprise-scale solutions that integrate AI/ML capabilities seamlessly across the entire technology stack.

Responsibilities:

• Full Stack Development with AIP Integration
• Build end-to-end applications within Palantir Foundry environment, leveraging TypeScript, React, Python, and the complete AIP ecosystem for AI-driven functionality
• Develop sophisticated data pipelines using Pipeline Builder, Spark, and PySpark to process large-scale datasets while integrating LLM capabilities through AIP Logic and AIP Assist
• Create interactive user interfaces using React, CSS Modules, GraphQL, and Palantir's Blueprint component library to deliver intuitive experiences for both technical and non-technical users
• Implement AI/ML workflows from conception to production, building custom applications that leverage large language models, natural language processing, and automated decision-making capabilities
• Solution Architecture
• Create solution blueprints that encompass software architecture, infrastructure design, integration patterns, and deployment strategies for complex enterprise environments
• Design comprehensive system architectures that span the entire technology stack, ensuring seamless integration between frontend applications, backend services, data pipelines, and AI capabilities
• Define technology strategies that align technical implementations with business objectives, ensuring solutions meet both immediate needs and long-term organizational goals
• AI Platform Leadership
• Lead implementation of generative AI solutions using Palantir AIP, including prompt engineering, LLM workflow design, and autonomous decision-making systems
• Design AI-driven automation that reduces manual processes and enables organizations to operate more efficiently while maintaining data security and governance
• Build intelligent applications that combine traditional data processing with modern AI capabilities, creating solutions that can reason, learn, and adapt to changing business conditions
• Implement AI governance frameworks ensuring responsible AI deployment with appropriate guardrails, monitoring, and compliance measures
• Technical Leadership & Collaboration
• Collaborate with cross-functional teams including data scientists, business analysts, product managers, and enterprise stakeholders to translate complex requirements into technical solutions
• Mentor development teams on Foundry best practices, AIP capabilities, and holistic architecture principles
• Drive technical decision-making for technology stack selection, architecture patterns, and implementation approaches that optimize both current needs and future extensibility
• Lead solution prototyping and proof-of-concept development to validate architectural approaches and demonstrate value to stakeholders

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field; Master's degree preferred
• 10+ years of Solution Architecture/full-stack development experience with strong proficiency in TypeScript, React, Python, and modern web technologies
• 3+ years of hands-on experience with Palantir Foundry platform, including Pipeline Builder, Ontology management, Workshop applications, and AIP integration
• Palantir certifications: Foundry Data Engineer, Foundry Solution Architect, or Foundry Application Developer
• Deep understanding of AI/ML technologies including large language models, prompt engineering, vector databases, and generative AI workflows
• Expertise in AWS cloud platform with experience in interoperability between AWS & Foundry
• Proven experience in solution architecture with ability to design enterprise-scale systems that integrate multiple technologies, platforms, and data sources
• Excellent communication skills with the ability to translate technical concepts for diverse audiences including executives, business users, and technical teams
• Experience working in agile environments with strong collaboration skills and ability to work effectively with distributed teams