Staff Machine Learning Engineer – AI Tech Lead

🕒 Março 4

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Sumo Logic

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

☁️ SaaS

🔒 Cibersegurança

💰 $110.000.000 Series G em 2019-05

SaaS • Cybersecurity • Cloud Computing

A Sumo Logic é uma empresa de análise de dados de máquina baseada em nuvem que oferece uma plataforma abrangente para monitorar, solucionar problemas, automatizar e defender infraestruturas de TI. A empresa se especializa em inteligência de segurança em nuvem, aproveitando IA e aprendizado de máquina para fornecer maior observabilidade e detecção de ameaças à segurança. É conhecida por suas poderosas capacidades de gestão de logs, que ajudam as organizações a desbloquear a segurança em nuvem e a solucionar problemas do sistema de forma eficiente. A plataforma da Sumo Logic se integra perfeitamente com serviços de nuvem, fornecendo monitoramento de infraestrutura e observabilidade de aplicações para modernizar as operações de TI. Suas soluções são adaptadas para diversos casos de uso, incluindo DevSecOps, migração para a nuvem e aprimoramento da experiência digital do cliente.

Descrição

• 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. • Architect, prototype, and productionize multi-agent AI systems for Agentic SOC use cases, including detection, triage, investigation, and response workflows. • 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. • Operate as a senior technical owner in ambiguous problem spaces—setting technical direction, breaking down complex problems, and driving delivery across teams.

🎯 Requisitos

• B.Tech, M.Tech, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related technical field. • 5+ years of hands-on industry experience building, operating, and leading production ML/AI systems, with demonstrated technical leadership and ownership. • Strong foundation in machine learning, distributed systems, data pipelines, and large-scale system design. • Deep industry understanding of LLMs, prompt engineering, context engineering, agentic AI design patterns, and reasoning workflows. • Strong proficiency in Python and modern ML/AI ecosystems. • Experience designing and operating evaluation frameworks for ML/LLM systems (offline + online). • Proven ability to lead complex technical initiatives across teams and influence architecture decisions. • Excellent communication skills and ability to translate complex AI systems into business impact.

🏖️ Benefícios

• 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.