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# Ai Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** Baltimore, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $156,000.0 - $176,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, Microsoft Azure, Code Review, Continuous Integration, Data Validation, Python (Programming Language), Machine Learning, SQL Databases, Workflow Management Systems, Data Logging, Data Processing, Large Language Models, Git, Pandas, Pyspark, Virtual Agents, Databricks, Web Api
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/f7011cc0-0093-44d2-988e-a1c8fc0cbae8

## About the Role

Strong, hands-on experience with Python engineering for production systems
Advanced proficiency with PySpark and Pandas
Proven experience implementing business rules, decision logic, or rule-driven systems
Experience working with Agentic AI systems or AI-assisted workflows
Solid understanding of Git-based delivery models
Hands-on experience with Azure DevOps, including CI/CD pipelines and deployment monitoring
Experience supporting enterprise production workloads
Skills
Machine learning, Artificial intelligence, databricks, python, pyspark, SQL, Test automation
Top Skills Details
Machine learning,Artificial intelligence,databricks,python,pyspark,SQL
Additional Skills & Qualifications
Experience in utilities, energy, or other rules-heavy domains
Familiarity with workflow orchestration tools (ADF, Airflow, etc.)
Prior exposure to applied AI systems in enterprise environments

## Description

Our customer is building a Digital Transformation Organization that will focus on leveraging Data to increase productivity and income across the enterprise. They recently formed their Management Team and now they are approved to begin hiring their technical and functional team members to focus on their primary Use Case, Modern Sales.
We can not use 3rd Party Vendors for this role
Role Summary
We are seeking a Senior AI Engineer to build and support production-grade decisioning and data processing systems in a highly rules-driven enterprise environment.
This is a hands-on engineering role focused on Python-based decision pipelines, business-rule implementation, and CI/CD delivery. Exposure to enterprise AI or LLM capabilities may occur when required, but the primary emphasis is on reliable, maintainable, production systems rather than experimentation or research.
Core Responsibilities

Design, build, and support scalable Python-based processing and decisioning pipelines using PySpark and Pandas
Translate complex business rules and domain logic into clean, testable, and maintainable decisioning systems
Build modular, reusable components suitable for orchestrated, production workflows
Integrate enterprise AI or LLM services when needed, including basic prompt/template configuration and structured output parsing
Apply standard safety and compliance controls (e.g., PII handling, input/output validation)
Integrate internal and external APIs with robust error handling and retry strategies
Implement data validation, structured logging, and monitoring to support production observability and troubleshooting
Participate in Git-based development, including branching, pull requests, code reviews, and conflict resolution
Build and maintain CI/CD pipelines in Azure DevOps, including release workflows and deployment monitoring
Support and troubleshoot live production systems


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