Ai Engineer

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.

• Machine learning, Artificial intelligence, databricks, python, pyspark, SQL, Test automation
• Machine learning,Artificial intelligence,databricks,python,pyspark,SQL
• 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

The pay range for this position is $75.00 - $85.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

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

Required Skills & Experience

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

This is a Contract position based out of Baltimore, MD.

This is a fully remote position.

This position is anticipated to close on Aug 19, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.