About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
As a Technical Engineering Manager on the Boomi Enterprise AI team, you will lead the engineering effort that turns experimental AI capabilities into enterprise-grade, production-ready agentic AI platforms. You will define and drive the “paved road” for AI development at Boomi—balancing innovation speed with reliability, security, and operational excellence.
This role sits at the intersection of AI research, platform engineering, and enterprise product delivery. You will guide teams building LLM-based agents, multi-agent workflows, memory systems, and tool-using AI, while ensuring these systems meet Boomi’s standards for scalability, governance, and observability.
You will be both a technical leader and people manager, enabling teams to ship intelligent features faster and safer, while mentoring engineers and shaping the long-term AI engineering strategy.
What You’ll Do
Lead and grow a team of engineers building agentic AI platforms and services used across Boomi products.
Drive the transition of “Customer Zero” AI prototypes into secure, scalable, and observable production systems.
Own the technical vision and execution for agentic AI infrastructure, including orchestration, memory, evaluation, and observability layers.
Partner closely with AI/ML researchers, product managers, and platform teams to align AI innovation with enterprise requirements.
Establish engineering best practices for LLM-based systems, including reliability, safety, data governance, and cost control.
Ensure AI systems are designed for enterprise readiness, including compliance, security, auditability, and operational support.
Translate ambiguous AI research outcomes into clear technical roadmaps, milestones, and deliverables.
Act as a technical escalation point and hands-on contributor for complex architectural decisions.
Foster a culture of experimentation, learning, and operational excellence within the AI engineering team.
Proven experience as a Technical Engineering Manager or Tech Lead leading platform or AI-focused teams.
Strong technical background in AI/ML systems, preferably involving LLMs, RAG pipelines, or agent-based architectures.
Experience scaling experimental systems into production-grade enterprise platforms.
Solid understanding of cloud-native architectures, distributed systems, and reliability engineering.Ability to balance hands-on technical leadership with people management and delivery accountability.
Strong cross-functional communication skills and experience working with research, product, and platform stakeholders.
Boomi is investing heavily in Enterprise AI. This role is critical to ensuring our AI capabilities are not just innovative—but trusted, scalable, and production-ready for our customers. You will directly influence how AI is built, shipped, and operated across the company.
Tech Stack & ExpertiseAI & Agentic SystemsLLMs & Frameworks: OpenAI, Anthropic, Azure OpenAI, LangChain, LlamaIndex
Agent Architectures: Multi-agent systems, tool-using agents, planning and orchestration layers
Retrieval & Memory: RAG pipelines, embeddings, vector search, long-term agent memory
Evaluation & Safety: Prompt/versioning, offline & online evaluation, hallucination detection, human-in-the-loop workflows
Vector Databases: Pinecone, Weaviate, Milvus, FAISS
Data Platforms: Databricks, Snowflake, BigQuery
Streaming & Events: Kafka, Kinesis
Experimentation: MLflow, custom evaluation frameworks
Boomi AtomSphere platform
iPaaS, API Management, Event Streams
Integration patterns, connectors, and extensibility frameworks
Experience embedding AI capabilities into integration and automation platforms
Cloud: AWS, Azure, GCP (multi-cloud experience preferred)
Compute & Orchestration: Kubernetes, containers, serverless
Observability: OpenTelemetry, Prometheus, Grafana, centralized logging
CI/CD: GitHub Actions, Jenkins, infrastructure-as-code (Terraform)
Enterprise security standards (PII handling, access control, encryption)
AI governance, auditability, and compliance considerations
SRE principles, SLAs/SLOs, cost optimization for AI workloads
People management, coaching, and career development
Strong technical roadmap and execution planning
Cross-functional collaboration with Product, Research, Security, and Platform teams
Ability to translate ambiguous AI research into clear, deliverable engineering plans
Strong written and verbal communication skills
You will help define how enterprise-grade AI is built and operated at Boomi. This role offers a unique opportunity to shape AI strategy, influence platform direction, and lead teams delivering intelligent automation at scale.
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 candidates and employees. If you need accommodation during the application or interview process, please submit a request to [email protected]. This inbox is strictly for accommodations, please do not send resumes or general inquiries.
