The role involves designing AI-enabled PLM solution architectures, integrating PLM systems with various enterprise platforms, and troubleshooting workflows. It requires strong communication skills and a deep understanding of PLM processes and data management.

Design and build production-grade AI features and REST APIs using Spring AI and Spring Boot. Implement RAG and vector search, integrate LLM providers, manage vector stores, ensure security with Spring Security, and deploy scalable microservices with Docker, Kubernetes, and CI/CD.

Design, build, and operate scalable Python REST APIs and microservices (FastAPI/Flask, Docker, Kubernetes). Productionize LLM-powered applications using OpenAI/Anthropic, LangChain/LlamaIndex, implement RAG with vector DBs, deploy secure, observable AI systems, and optimize backend performance for business-critical use cases.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The Senior Staff Engineer, Machine Learning will design and implement AI/ML solutions, focusing on NLP and machine vision while leading technical design and architecture discussions.

The Senior Staff Engineer, Machine Learning will lead the design and implementation of machine learning solutions, focusing on AI architecture, data manipulation, and developing AI agents for complex decision-making. Responsibilities include stakeholder engagement, technical design, and adherence to best practices in AI and ML.

The Associate Staff Engineer develops backend and frontend solutions using Python and React.js, focusing on healthcare data standards and cloud architectures.

Lead Oracle CPQ Cloud implementations, including design and deployment. Configure models and pricing rules, integrate with Salesforce and Oracle Fusion, and mentor juniors.

The Senior Staff Engineer will design and implement Adobe Experience Platform architectures, manage campaign workflows, and troubleshoot integration issues. Responsibilities include defining data governance policies and mentoring team members.

The Staff Engineer will analyze client needs and design solutions using SAP technologies, manage project coordination, and lead UAT and production rollouts.

Design, develop, implement, and support Workday HCM integrations; collaborate with stakeholders; ensure compliance; troubleshoot issues; manage reports.

The role requires leading ServiceNow development focusing on APM, CSM, HRSD modules, integration with third-party systems, and mentoring team members.

The Principal Engineer will design and implement AI/ML architectures, ensuring robust solutions for client requirements while mentoring teams and overseeing best practices.

The Principal Engineer, Technical Architect is responsible for designing AI/ML solutions, implementing architectures, mentoring teams, and ensuring best practices in technology and project delivery.

Lead Workday HCM integration projects, translate business requirements into technical designs, mentor teams, and ensure adherence to best practices for scalable solutions.

The role involves designing AI/ML solutions, translating business cases into architecture, overseeing system design, mentoring teams, and ensuring ethical AI practices.

The Principal Engineer, Technical Architect will design and implement AI/ML solutions, ensuring alignment with business requirements and overseeing technical architecture.

Design, develop, and support integrations for Workday Financials using various technologies, collaborating with stakeholders and ensuring security and best practices.

The Principal Engineer, Machine Learning will design AI/ML solutions, lead technical strategies, ensure best practices, and collaborate on customer projects.

The Associate Principal Engineer will design and implement machine learning solutions, ensuring alignment with business needs while leveraging advanced AI technologies. Responsibilities include architecture design, stakeholder collaboration, and development best practices.