Sr. Agentic AI Engineer
Backend Developer
Agentic Ai
Artificial Intelligence
Automation
Big Data
Bigdata
Cloud
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data Analysis
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Pipeline
Data Platform
Data Processing
Data Security
Database
Databases
Databricks
DevOps
DevSecOps
Infrastructure As Code
Pyspark
Spark
SQL
Job Description
The Sr. Agentic AI Engineer will lead onboarding and day-to-day platform operations for enterprise AI and data engineering workloads built on an AWS-based Databricks environment. This is a hands-on role focused on production execution, governed data access, and reliable AI/ML platform integration in a highly regulated setting.
Key Responsibilities
- Lead onboarding of users, teams, and data domains onto the enterprise Databricks platform on AWS.
- Address complex technical challenges across external data source integration, governance, deployment of Databricks-native AI capabilities, and cost attribution.
- Define technical patterns, mentor junior engineers, and take ownership of integration work to make external data and AI features usable at enterprise scale.
- Perform core engineering activities in a hands-on capacity, applying deep expertise in Databricks, data engineering, and practical AI/ML platform operations.
- Collaborate across teams to maintain platform reliability, scalability, and governance.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in data engineering, platform engineering, or cloud data roles, including at least 3 years managing Databricks in a production environment.
- Advanced experience administering Databricks at scale, including Unity Catalog, Delta Lake, cluster management, and job orchestration.
- Proficiency with CI/CD processes for Databricks deployments using Terraform, Asset Bundles, or GitLab.
- Strong development capability with Python, SQL, and PySpark for dependable production data pipelines.
Technology Stack
- Databricks, AWS
- Unity Catalog, Delta Lake
- Terraform, Asset Bundles, GitLab
- Python, SQL, PySpark
Compensation and Location
- Location: Englewood, CO (onsite)
- Salary: USD 76 per hourly
- Employment type: 76/hr W2
Benefits
- Competitive compensation package
- Full benefits including Medical, Vision, Dental, and more
- Employee Stock Ownership Program
- Medical, Dental, Vision, and Life Insurance
- Opportunity to join an industry leading organization
About IDR, Inc.
- 25+ Years of Proven Industry Experience in 4 major markets
- Employee Stock Ownership Program
- Dedicated Engagement Manager committed to your success
- ClearlyRated's Best of Staffing® Client and Talent Award winner for 12 years in a row
- #LI-Onsite
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