Sumo Logic
AI Tech Lead - Staff Machine Learning Engineer
United States · Staff+
No sponsorshipDetected 7 days ago
PythonDistributed SystemsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningPyTorchAirflowData EngineeringData ScienceLLMsAgentic AILLMOpsMLOpsLangGraphCybersecuritySOC OperationsLeadershipCommunicationMentoring
About the role
- With this opportunity comes significant technical challenges around ingesting, managing, and reasoning over massive, heterogeneous, high-velocity data streams at a global scale.
- This is a highly technical leadership role with deep ownership of AI agent architecture, evaluation, LLM fine-tuning, and production AI infrastructure.
- For more information, visit www.sumologic.com.
Responsibilities
- Lead and partner with fellow leadership members and teams on technical evaluation and adoption of cutting-edge agentic AI platforms, including Anthropic (Claude), LangChain/LangGraph, AWS Bedrock, and other emerging agent frameworks.
- Own the design of core agent architecture components, including planning, execution, tool orchestration, memory, context engineering, and long-running agent workflows.
- Lead AI agent evaluation systems, including offline and online evaluation pipelines, golden datasets, synthetic data generation, human- and LLM-based judging, and continuous quality monitoring.
- Drive LLM fine-tuning and alignment efforts to improve domain-specific reasoning, accuracy, and reliability for security and observability use cases.
- Design scalable LLMOps and AI agent infrastructure, including inference routing, latency optimization, cost control, and production observability for agent systems.
- Partner with product, security, and data platform leadership and teams to deliver end-to-end AI agent capabilities from prototype to customer-facing production systems.
- Lead and partner on technical direction and mentorship for AI engineers working on agentic AI and LLM systems.
- Define and implement best practices for AI safety, reliability, evaluation, and monitoring in production agentic systems.
- 5+ years of hands-on industry experience building, operating, and leading production ML/AI systems, with demonstrated technical leadership and ownership.
- Deep industry understanding of LLMs, prompt engineering, context engineering, agentic AI design patterns, and reasoning workflows.
Requirements
- Strong proficiency in Python and modern ML/AI ecosystems.
- Experience designing and operating evaluation frameworks for ML/LLM systems (offline + online).
- Excellent communication skills and ability to translate complex AI systems into business impact.
- Experience with modern agent frameworks such as LangGraph, LangChain, CrewAI, or similar.
- Experience with major foundation model platforms such as Anthropic, OpenAI, AWS Bedrock, or Vertex AI.
- Experience with ML infrastructure and tooling such as PyTorch, MLflow, Airflow, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Must be authorized to work in the United States at the time of hire and for the duration of employment.
Nice to have
- Experience applying AI/ML to security, observability, or large-scale log/telemetry data i s a strong plus.
Compensation
- In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings and equity awards.
Benefits
- B.Tech, M.Tech, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related technical field.
- Strong foundation in machine learning, distributed systems, data pipelines, and large-scale system design.
- Experience with LLM fine-tuning pipelines (SFT, RLHF/RLAIF, preference learning, domain adaptation).
Company info
- Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
- Compensation varies based on a variety of factors, which include (but aren't limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings and equity awards.
- Must be authorized to work in the United States at the time of hire and for the duration of employment. At this time, we are not able to offer new non-immigrant visa sponsorship or OPT hiring for this position.
- Sumo Logic, Inc. empowers the people who power modern, digital business.
- Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures.
- Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications.
- Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
- Compensation varies based on a variety of factors, which include (but aren't limited to) role level, skills and competencies, qualifications, knowledge, location, and experience.
- In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings and equity awards.
- At this time, we are not able to offer new non-immigrant visa sponsorship or OPT hiring for this position.
Visa & Work Authorization
- Must be authorized to work in the United States at the time of hire and for the duration of employment.
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This listing is sourced directly from Sumo Logic's careers page and normalized into a canonical job model.