Sr Principal AI/ML Engineer

AI Agent Design & Engineering: Architect, build, and orchestrate intelligent agents using ChatB, Agent Studio, and LLM frameworks (eg OpenAI, Anthropic, Claude, Gemini)
Internal Platform Innovation (Customer Zero): Lead the design, experimentation, and validation of new AI workflows that drive measurable internal productivity improvements Multi-Agent Systems: Design agent hierarchies and orchestration pipelines using coordination frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel) Applied Research: Investigate and integrate state-of-the-art AI techniques (tool use, reasoning, memory, reflection, RAG, and function calling) Integration Engineering: Build APIs and connectors enabling agents to interact with Boomis integration and automation ecosystem System Architecture & Performance: Ensure that deployed agents meet enterprise standards for security, observability, and scalability Knowledge Graphs & Retrieval: Implement vector databases, knowledge graphs, and retrieval pipelines to enhance context-aware responses Evaluation & Metrics: Define KPIs, monitor LLM behaviors, and evaluate model performance through offline and live testing Collaboration & Enablement: Work with platform, data, and UX teams to deliver integrated AI services and assist internal users with adoption and best practices Documentation & Standardization: Develop reusable frameworks, templates, and design patterns for internal AI applications Ethics & Governance: Support internal guidelines for AI transparency, data governance, and model safety within enterprise deployments Tooling & MLOps Integration: Integrate pipelines with LLMOps, CI/CD, and API gateways for repeatable deployment Mentorship & Evangelism: Mentor internal teams on AI agent architectures, experimental methods, and technical excellence Essential Skills & Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or Software Engineering (RQF Level 6+) Advanced coding skills in Python, TypeScript, or JavaScript Experience with LLM-based development, RAG pipelines, and agent orchestration frameworks Deep understanding of API design, microservices, and event-driven architectures Familiarity with machine learning frameworks (PyTorch, TensorFlow, Hugging Face) Experience working with vector databases (Pinecone, Weaviate, Chroma, FAISS) and retrieval systems Knowledge of data pipelines and ETL tools, especially integration with the Boomi platform Exposure to AI ethics, model evaluation, and prompt optimization techniques Experience deploying workloads to cloud platforms (AWS, Azure, GCP) using modern DevOps and infrastructure-as-code practices Understanding of containerization (Docker, Kubernetes) for scalable AI deployments Excellent communication and stakeholder engagement skills, capable of bridging research and engineering domains Research-oriented mindset with a track record of innovation, rapid prototyping, and cross-functional collaboration Be Bold Be You Be Boomi We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities All employment decisions are based on business needs, job requirements, and individual qualifications Boomi strives to create an inclusive and accessible environment for candi and employees If you need accommodation during the application or interview process, please submit a request to This inbox is strictly for accommodations, please do not send resumes or general inquiries