Kforce has a client in Englewood, CO that is seeking a Senior Agentic AI Platform Ops Engineer.Summary:The Senior Agentic AI Platform Ops Engineer will lead the design, onboarding, and optimization of an enterprise AI platform built on Databricks and AWS. This is a senior-level, hands-on engineering role focused on scaling cloud data platforms, enabling AI and machine learning capabilities, and establishing technical standards across the organization.The ideal candidate has deep Databricks expertise, strong data engineering experience, and a proven ability to mentor engineers while driving platform architecture, governance, and automation initiatives.Responsibilities:
Lead the onboarding of new teams, users, and data domains onto an enterprise Databricks platform
Design and implement integrations between enterprise data sources and cloud-based AI platforms
Deploy and support Databricks-native AI capabilities, including modern AI/ML services and agent frameworks
Architect and maintain Unity Catalog governance, metadata standards, data classification, and lineage
Develop and oversee platform cost attribution and resource optimization strategies
Build and optimize scalable data pipelines using Python, SQL, and PySpark
Contribute to Infrastructure-as-Code and CI/CD deployment processes using Terraform and related tools
Provide technical leadership, mentor engineers, conduct design reviews, and establish platform best practices
Partner with cross-functional engineering teams to deliver scalable, secure, and reliable AI platform solutions
5+ years of experience in Platform Engineering, Data Engineering, Cloud Engineering, or a related field
At least 3 years of hands-on Databricks administration in a production environment
Extensive experience with Unity Catalog, Delta Lake, cluster management, and Databricks job orchestration
Strong programming skills in Python, SQL, and PySpark
Experience designing scalable data pipelines and cloud-based AI infrastructure
Working knowledge of AWS services, including IAM, S3, and VPC
Experience with Terraform or other Infrastructure-as-Code tools
Strong understanding of data governance, metadata management, and enterprise security best practices
Excellent communication skills with experience leading technical discussions and mentoring engineering teams
Preferred Qualifications:
Experience with Databricks Asset Bundles and CI/CD pipelines
Experience with Databricks AI capabilities such as Mosaic AI, Genie, or similar AI platforms
Knowledge of LLM applications, Retrieval-Augmented Generation (RAG), vector search, and AI agent frameworks
Experience with GitLab or similar DevOps tooling
Databricks certifications in Data Engineering, Platform Administration, or Machine Learning
Familiarity with FinOps, cloud cost optimization, and usage reporting
Experience supporting enterprise-scale or regulated environments
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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