Job Description

LRS Consulting Services is seeking an AI Engineer for a contract to hire opportunity with our client in Fort Worth, Texas.

Position Summary
The AI Engineer will design, develop, and deploy AI models and systems that support the enterprise AI strategy. This role focuses on building scalable, secure, and ethically governed AI solutions that integrate with business platforms and digital products. The engineer will collaborate with data scientists, product managers, IT developers, and data stewards to deliver high-impact AI capabilities.

Duties & Responsibilities

AI Solution Development

• Design and implement AI models and algorithms tailored to business needs.
• Develop and maintain machine learning pipelines and infrastructure.
• Translate complex business problems into AI-driven solutions using GenAI, LLMs, and predictive analytics.

Model Lifecycle Management

• Train, test, and optimize models using frameworks like TensorFlow, PyTorch, and scikit-learn.
• Apply MLOps practices for model deployment, monitoring, and retraining.
• Ensure model observability, reproducibility, and compliance with internal controls.

Data Engineering & Integration

• Collaborate with data stewards to ensure high-quality, governed datasets.
• Build data architectures and processing systems to support AI workloads.
• Integrate AI models into cloud-native environments (e.g., Azure OpenAI, Azure AI Foundry).

Cross-Functional Collaboration

• Work with product managers to align AI features with customer needs.
• Partner with IT developers to ensure robust, production-ready implementations.
• Support PoC initiatives by contributing to feasibility assessments and pilot deployments.

Governance & Risk

• Adhere to responsible AI frameworks, including model cards, risk assessments, and ethical guidelines.
• Collaborate with legal, compliance, and risk teams to ensure regulatory alignment.

Skills & Qualifications
Required

• 3+ years of experience in AI/ML engineering, including production deployment.
• 5+ years of experience in data engineering
• Proficiency in Python, Java, or C++, and experience with Docker, MLflow, and cloud platforms (Azure preferred).
• Experience with LLMs (e.g., GPT, LLaMA), RAG pipelines, and GenAI applications.
• Strong problem-solving and communication skills.

Preferred

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field.
• Experience in financial services or regulated industries.
• Familiarity with enterprise architecture frameworks (e.g., TOGAF, BIZBOK).
• Experience with cloud-native AI platforms such as Azure OpenAI, Azure AI Foundry, Microsoft Copilot, or similar.

The base range for this contract position is $65.00 - $75.00 per hour, depending on experience.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.  

In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.