Principal Agentic AI Machine Learning Engineer

Summary

Join ScienceLogic as an Agentic AI Machine Learning Engineer and lead the development of scalable AI orchestration frameworks for autonomous systems. Design and build LLM-powered AI agents capable of reasoning and adapting within IT environments. Drive innovation in multi-agent orchestration, collaborating with cross-functional teams to translate business needs into technical solutions. Ensure the reliability and performance of these systems, mentor engineering teams, and stay at the forefront of AI research. Contribute to ScienceLogic's intellectual property and represent the company in technical forums. This role requires 10+ years of software engineering experience focused on AI and autonomous systems, a Master's or PhD in a related field (Bachelor's required), and proven expertise in agent-based systems.

Requirements

• 10+ years of experience in software engineering focused on AI, autonomous systems, or multi-agent architectures
• Master’s or PhD in Computer Science, AI, Robotics, or related field preferred; bachelor's degree is required
• Research experience in LLM and agentic orchestration
• Proven expertise in designing and implementing agent-based systems and orchestration frameworks
• Strong programming skills in Python, C++, or Java
• Experience with AI/ML frameworks such as LangChain, LangGraph,TensorFlow or PyTorch, and reinforcement learning techniques
• Deep understanding of distributed systems, concurrency, and scalable software design
• Excellent leadership, communication, and problem-solving skills
• Track record of delivering complex AI projects from concept to production

Responsibilities

• Architect and lead the development of scalable, robust AI orchestration frameworks that enable autonomous, agentic AI systems to collaborate and execute complex tasks
• Design and build LLM powered proprietary AI agents and services capable of reasoning, learning, and adapting within dynamic IT environments
• Drive innovation in multi-agent orchestration, including task decomposition, dynamic scheduling, and adaptive control strategies
• Collaborate closely with cross-functional teams—product management, data science, software engineering—to translate business needs into technical solutions
• Ensure the reliability, security, and performance of agentic AI systems in production
• Mentor and guide engineering teams on best practices in AI system design and agent-based architectures
• Stay at the forefront of AI research, applying advances in reinforcement learning, automated reasoning, and distributed AI to enhance Skylar capabilities
• Contribute to ScienceLogic’s intellectual property and represent the company in technical forums

Preferred Qualifications

• Familiarity with natural language processing, knowledge representation, and automated reasoning is a plus
• Domain experience in Network Monitoring, Infrastructure Monitoring, Machine Learning/AI, scalable architectures, Cloud (Private, Public, Hybrid) Technologies, Design and operational expertise in Software as a Service (Saas) systems is a big plus

Benefits

• Flexible work arrangements supporting work-life balance
• Comprehensive medical, dental and vision plans
• 401(k) plan with employer match
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization
• 5-year Service Milestone Sabbatical
• Paid parental leave
• Generous employee referral bonus program
• Pet insurance
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more
• The opportunity to learn and develop from some of the best and brightest minds in the industry!