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Niche senior ML role but metro location and known enterprise brand create moderate competition.
Strong ML/LLM and agentic AI specialization limits cross-industry transferability.
Requires specific LLM, agentic AI, and distributed-systems experience, making filters stringent.
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Develop and iterate agentic AI workloads for autonomous IT management across MSP client environments, orchestrating vendor APIs and interpreting PSA/RMM signals.
Design and implement behavioral anomaly detection models and agentic-specific detection signals to flag deviations and inconsistencies in real time.
Build evaluation frameworks using tools like Amazon Bedrock and LangChain to assess AI model quality, latency, and safety, and contribute to Safe Connector Layer coverage for multiple MSP tool APIs.
Strong programming and engineering skills with experience in LLM orchestration frameworks such as LangChain or LlamaIndex.
Hands-on experience with at least one major AI model provider (e.g., Amazon Bedrock, OpenAI, Vertex AI).
Ability to read and implement concepts from ML and systems research papers.
Work Experience Required: Not explicitly mentioned in the JD.
Experience in building evaluation harnesses, test suites, or benchmark pipelines for model or agent behavior reflecting a technical and precise operating style.
Knowledge or familiarity with behavioral anomaly detection, time-series analysis, or statistical baselining, especially in distributed, async-first team environments.
Background in workflow automation, enterprise security tooling, or working with event-driven architectures (Kafka) and durable workflow engines (e.g., Temporal).