The IBM TRIRIGA Architect will manage TRIRIGA implementations, analyze client needs, oversee project migration to Maximo, and collaborate with stakeholders. The role requires extensive experience in managing complex projects and relationships, ensuring system performance, and aligning tech solutions with business requirements.

Lead the planning, execution, and delivery of Workday implementation projects. Collaborate with stakeholders to define scope, manage timelines, and oversee budgets, ensuring compliance and successful project outcomes.

Lead Workday Data Conversion projects, ensuring proper data management and alignment with business processes through implementation cycles. Requires extensive Workday experience.

The SOC Design Verification Engineer will define verification plans, build testbenches, execute tests, and collaborate with design teams to ensure high-quality ASIC designs.

The Senior Firmware Engineer will develop production-grade firmware for AI/ML platforms, collaborate with teams, and ensure high-quality software development.

Lead the design and deployment of intelligent systems using Knowledge Graphs and AI reasoning, including building scalable solutions and integrating AI models.

Lead full-cycle implementations of the Workday Learning suite, manage resources and stakeholders, mentor consultants, and configure learning systems.

The Principal Architect will design and plan algorithms, drive innovation, lead technology roadmaps, and create system designs for complex systems.

Lead the design of scalable systems for Multi-Agent Path Finding using ML. Oversee model pipelines and collaborate with cross-functional teams.

As Senior Firmware Architect, you will lead firmware architecture, collaborate on AI/ML solutions, manage communication links, and support SW and HW development.

The Product Marketing Manager will connect AI technology with market demands, define product positioning, create narratives, and conduct market research.

Lead product strategy and execution for API service. Define the product roadmap, prioritize features, and drive decisions impacting customers and growth.

The ML Infrastructure Engineer will design distributed systems for ML training, optimize inference, build automation pipelines, and monitor production performance.

The role involves designing and optimizing large language models, building ML pipelines, and working collaboratively with cross-functional teams.

Lead the design and optimization of Infor CSI systems, collaborate with teams for requirements, and customize modules while ensuring performance and support.

The Infor Syteline Developer will design and customize CloudSuite Industrial applications, automate processes, develop reports, and collaborate with teams to enhance solutions.

The Emulation Engineer will validate ASIC and IP designs using the ZeBu emulation platform, focusing on debugging and functional verification.

The Digital Design Verification Engineer will build verification environments, develop test plans, and collaborate on system-level verification, ensuring quality in production systems.

Phizenix seeks innovative individuals for various roles across departments including tech, product, marketing, and operations. Connect to explore future opportunities.

The role involves designing LLM architectures, developing training strategies, and translating research into production systems for AI models.