Job Requirements
Annapolis Junction, MD
Top Secret/SCI Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Develop and operate AI platform components, focusing on scalable inference services and the AI application ecosystem.
• Lead project development, manage team members, and design/implement AI model inference infrastructure.
• Maintain production AI services including RAG and autonomous agents.
• Oversee monitoring, logging, and observability solutions using OpenTelemetry, Grafana, and Prometheus.
• Ensure high availability, reliability, performance, and security.
• Requires expertise in AWS, Kubernetes, Python, systems integration, and High Performance Computing.
• Experience with LangChain and Pinecone is beneficial.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $308k+ yearly
Job Description:
• Design, implement, and optimize infrastructure for AI model inference at scale.
• Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
• Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams.
• Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members.
• Act as the team point of contact (POC) for contract administration functions.
• Navigate ambiguity and define solutions for complex, underspecified systems and requirements.
• Establish new technical policies, standards, and governance frameworks where gaps exist.
• Drive adoption of new technologies and practices across engineering teams.
• Implement and oversee monitoring, logging, and observability solutions for AI services.
• Ensure high availability, reliability, performance, and security of AI platform components.
• Communicate effectively with stakeholders at multiple organizational levels.
• Extensive experience designing, building, and operating large-scale production systems.
• Deep expertise in systems integration across diverse technologies and platforms.
• Hands-on experience with cloud engineering in AWS.
• Advanced proficiency with Kubernetes administration and deployment patterns.
• Strong Python programming skills.
• Experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
• Proven ability to lead technical initiatives and influence organizational change.
• Experience developing technical policies and governance frameworks.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to balance hands-on engineering with leadership and coordination responsibilities.
• Nice to Haves: Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
• Nice to Haves: Previous experience with agentic frameworks (LangChain).
• Nice to Haves: Knowledge of vector databases and embedding systems.
• Nice to Haves: Experience with high-performance computing or distributed systems.
• Nice to Haves: Track record of successfully driving technical and cultural change.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Develop and operate AI platform components, focusing on scalable inference services and the AI application ecosystem.
• Lead project development, manage team members, and design/implement AI model inference infrastructure.
• Maintain production AI services including RAG and autonomous agents.
• Oversee monitoring, logging, and observability solutions using OpenTelemetry, Grafana, and Prometheus.
• Ensure high availability, reliability, performance, and security.
• Requires expertise in AWS, Kubernetes, Python, systems integration, and High Performance Computing.
• Experience with LangChain and Pinecone is beneficial.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $308k+ yearly
Job Description:
• Design, implement, and optimize infrastructure for AI model inference at scale.
• Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
• Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams.
• Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members.
• Act as the team point of contact (POC) for contract administration functions.
• Navigate ambiguity and define solutions for complex, underspecified systems and requirements.
• Establish new technical policies, standards, and governance frameworks where gaps exist.
• Drive adoption of new technologies and practices across engineering teams.
• Implement and oversee monitoring, logging, and observability solutions for AI services.
• Ensure high availability, reliability, performance, and security of AI platform components.
• Communicate effectively with stakeholders at multiple organizational levels.
• Extensive experience designing, building, and operating large-scale production systems.
• Deep expertise in systems integration across diverse technologies and platforms.
• Hands-on experience with cloud engineering in AWS.
• Advanced proficiency with Kubernetes administration and deployment patterns.
• Strong Python programming skills.
• Experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
• Proven ability to lead technical initiatives and influence organizational change.
• Experience developing technical policies and governance frameworks.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to balance hands-on engineering with leadership and coordination responsibilities.
• Nice to Haves: Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
• Nice to Haves: Previous experience with agentic frameworks (LangChain).
• Nice to Haves: Knowledge of vector databases and embedding systems.
• Nice to Haves: Experience with high-performance computing or distributed systems.
• Nice to Haves: Track record of successfully driving technical and cultural change.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119