The Role
Own AI/ML platform capabilities, including data pipelines, distributed compute, MLOps, CI/CD, model deployment, monitoring, rollback, and compliance automation. Integrate multi-agent AI orchestration with platform services and external systems through APIs and MCP. Partner with platform engineers and product leaders to deliver reusable AI components. The role requires production distributed-systems experience, distributed ML and data tooling expertise, cloud container operations, and strong Python proficiency.
Summary Generated by Built In
Overview/ Job ResponsibilitiesWe are hiring a Senior AI/ML Platform Engineer to own the AI and machine learning embedded in a new and exciting platform; the data pipelines that feed models, the compute that serves them, and the automation that keeps AI workloads secure, reproducible, and compliant. You will work across the platform's layers with primary focus on the AI/ML workloads that run on them and connect them.
What You'll Do
- Engineer the data pipelines that feed AI workloads — ingestion, transformation, and serving for model training and real-time digital twin event streams
- Automate MLOps and CI/CD for AI workloads: reproducible builds, test automation, deployment, monitoring, and rollback
- Integrate multi-agent AI orchestration with platform services and external systems through APIs and agent-tool protocols such as MCP
- Build compliance into the pipeline — automated control validation and evidence generation that shorten ATO cycles
- Partner with platform engineers and product leads to turn AI capabilities into reusable components
- 8+ years of professional software engineering experience, including designing and operating production distributed systems
- Hands-on experience with distributed ML and data engineering tooling (for example, Apache Spark/MLlib, Kafka, NiFi, or Airflow)
- Experience deploying and operating containerized workloads on a major cloud platform (AWS preferred; Kubernetes/EKS or Red Hat OpenShift a plus)
- Proficiency in Python
- Experience with CI/CD pipeline automation and pipeline-as-code
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
Skills Required
- 8+ years of professional software engineering experience
- Experience designing and operating production distributed systems
- Hands-on experience with distributed machine learning and data engineering tools such as Apache Spark/MLlib, Kafka, NiFi, or Airflow
- Experience deploying and operating containerized workloads on a major cloud platform
- Proficiency in Python
- Experience with CI/CD pipeline automation and pipeline-as-code
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
Entarian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entarian and has not been reviewed or approved by Entarian.
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Healthcare Strength — Health coverage options including medical, dental, and vision are presented alongside HSA/FSA accounts and a wellness program, suggesting comprehensive medical support. Feedback suggests the breadth of insurance and wellness offerings is a notable advantage.
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Retirement Support — A 401(k) plan with company match and immediate vesting is highlighted, indicating strong retirement benefits with accessible employer contributions. Feedback suggests immediate vesting enhances perceived value for employees.
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Leave & Time Off Breadth — Paid Time Off, 11 paid federal holidays, and parental leave are noted, pointing to a generous time-off structure. Feedback suggests these policies support work-life balance.
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The Company
What We Do
Entarian delivers science, engineering, and technology solutions for defense and federal civilian missions. The company integrates space systems, data modeling and analysis, cybersecurity, and secure enterprise and mission environments, enabling actionable insight from the enterprise to the tactical edge. Its work supports weather data, satellite operations, search and rescue, network infrastructure, and other mission-critical government programs for national security and public safety.
