• Leverage data to solve business problems across various business units at EcoVadis • Design, develop, deploy, and maintain scalable AI/ML systems • Design AI/ML pipelines applying best practices in MLOps / LLMOps / AgentOps • Build AI/ML engineering infrastructure and systems for batch and real-time pipelines • Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines • Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes

• Contribute to the design and development of AI agents integrated into live production systems • Help build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety • Design and refine prompts, tool integrations, and agent workflows • Implement, test, and optimize services and tooling across the stack — backend, data, scripting, automation, and glue code • Collaborate closely with senior engineers on system design, multi-agent orchestration, and deployment • Participate in code reviews, debugging, and documentation to ensure best practices • Work in a team environment that encourages mentorship, knowledge sharing, and hands-on learning

• Develop artificial intelligence software in support of the Department of Commerce • Design and develop AI models, algorithms, and applications • Collaborate to preprocess and analyze large datasets • Implement machine learning and deep learning algorithms • Documenting code, algorithms, and processes

• Own the technical vision, architecture, and solution standards across all engagements within the account • Drive the consolidation of multiple concurrent projects into a single coordinated build motion • Set the technical direction the engineering team builds to • Partner with the Program Manager on sequencing, dependencies, and burn tracking • Serve as the trusted technical partner and primary technical point of contact for client executive stakeholders • Operate as a senior solution architect on active build work