Associate Distinguished Engineer (AI Architect, Palantir)

Requirements Experience : 13+ years Relevant years of experience in software engineering, solution design, and enterprise application architecture. Strong experience designing and delivering enterprise-scale Java applications. Strong hands-on experience with Java, Spring Framework, and Spring Boot. Strong experience with microservices architecture and modern distributed application design. Strong understanding of microservices design patterns, service discovery, API gateways, distributed systems, and event-driven architectures. Proven experience designing RESTful APIs, enterprise integrations, and service contracts. Strong understanding of software design principles, design patterns, and architectural best practices. Experience working with both monolithic and microservices-based architectures. Proven experience modernizing legacy applications and migrating monolithic systems to microservices architectures. Hands-on experience with Palantir Foundry, Palantir AIP, Ontology, and Workshop. Experience architecting and delivering AI-powered enterprise applications using Palantir and related AI platforms. Good understanding of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow architectures. Experience integrating AI/LLM capabilities into enterprise business applications. Experience conducting POCs, technical feasibility studies, architecture spikes, and evaluations of emerging technologies. Strong experience with PostgreSQL databases. Experience designing data models and database schemas. Hands-on experience with schema migrations, query optimization, stored procedures, functions, triggers, and database performance tuning. Experience defining data integration and data governance approaches across applications. Good understanding of AWS and/or Azure cloud architectures. Experience with Docker and Kubernetes-based deployments. Familiarity with Infrastructure-as-Code concepts and tools such as Terraform. Experience supporting CI/CD implementations using Azure DevOps, GitHub, Jenkins, or similar tools. Understanding of application monitoring, observability, logging, and operational support requirements. Experience with enterprise messaging and event-driven architectures. Familiarity with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies. Understanding of asynchronous communication patterns and distributed transaction management. Strong cloud architecture and solution design capabilities. Strong consulting, stakeholder management, communication, and presentation skills. Ability to translate complex business requirements into scalable technical solutions. Strong architectural leadership, technical decision-making, and problem-solving skills. Ability to rapidly evaluate new tools, frameworks, AI platforms, and technologies and recommend appropriate solutions. Strong innovation mindset with experience driving ideation, experimentation, and technology adoption initiatives. High level of ownership, accountability, and technical leadership. Responsibilities Define and maintain solution architecture, technical standards, design principles, and technology roadmaps for enterprise applications. Lead architecture and design discussions across product, engineering, infrastructure, and business teams. Architect and develop cloud-native enterprise solutions using Java, Spring Boot, containerization, and modern deployment patterns. Design scalable APIs, service contracts, integration patterns, and event-driven architectures. Provide technical leadership and solution guidance to development teams, ensuring implementations align with architectural standards, best practices, and business objectives. Lead the design and delivery of major feature enhancements and complex technical initiatives from solution definition through implementation and deployment. Act as the technical escalation point for complex architectural and development challenges. Conduct design reviews and mentor engineers on architecture, software design, and development best practices. Architect and support AI-powered business applications using Palantir Foundry, Palantir AIP, Ontology, Workshop, and other emerging AI frameworks. Design and integrate AI/LLM capabilities into enterprise applications, including Generative AI, Agentic AI, RAG, and AI workflow architectures. Lead Proofs of Concept (POCs), innovation initiatives, technical evaluations, and architecture spikes for emerging technologies. Evaluate new AI platforms, frameworks, tools, and technologies and recommend suitable solutions based on business and technical requirements. Collaborate with DevOps and infrastructure teams to define deployment, monitoring, CI/CD, observability, and operational requirements. Design and support cloud-native architectures across AWS and/or Azure environments. Define scalable and resilient microservices architectures, including service discovery, API gateways, distributed systems, and asynchronous communication patterns. Design database architectures and data models using PostgreSQL, ensuring scalability, performance, and maintainability. Support database schema design, migrations, query optimization, stored procedures, functions, triggers, and performance tuning. Define data integration and governance approaches across enterprise applications. Design and implement messaging and event-driven solutions using technologies such as Kafka, RabbitMQ, AWS SQS/SNS, or similar platforms. Ensure architecture compliance with enterprise security, governance, regulatory, and operational requirements. Support modernization of legacy applications and migration from monolithic to microservices-based architectures. Drive technical innovation and experimentation initiatives while maintaining alignment with enterprise architecture standards. Provide architectural leadership, technical direction, and decision-making across complex enterprise technology initiatives. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.