Lead AIML Engineer

How Youll Make An Impact

Boomis Enterprise AI Team drives the creation of intelligent systems that augment business operations and customer experiences through AI-driven automation. As a Lead Forward Deployed Engineer youll be the driving force behind the creation of cutting-edge internal AI platforms and agentsour Customer Zero prototypes that bring new AI capabilities to life before they reach the world. If you thrive at the intersection of engineering excellence applied AI and creative problem-solving this is your chance to shape the future of intelligent business automationstarting from the inside out.

Be bold. Build smarter. Lead the AI revolution at Boomi.

In This Role You Will

• Architect and deploy next-generation AI systems that blend automation reasoning and adaptability.
• Collaborate across R&D platform engineering and product teams to turn bold ideas into scalable realities.
• Experiment and innovate pushing the boundaries of multi-agent collaboration context-aware retrieval and autonomous reasoning.
• Serve as a trailblazer for AI-first development influencing the roadmap of Boomis future products and intelligent infrastructure.

What Youll Do

• AI Agent Design & Engineering:
  Architect build and orchestrate intelligent agents using ChatB Agent Studio and LLM frameworks (e.g. 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.

The Experience You Bring

• 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.
  
  

Arent sure if youre a match We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates so dont hesitate to apply; you could be the perfect fit!

Location

US Remote

Compensation and Benefits

Boomi is committed to fair and equitable compensation practices. Base compensation for this position in the US ranges between $138862 - $173578. This position is remote-friendly and as such final compensation will be determined by various factors including the candidates knowledge skills experience and geographic location. An overview of our benefits can be found here.

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