Sr AI Engineer

Paycom is seeking a motivated AI Engineer with a passion for building practical, innovative solutions. In this role, you will work closely with software engineers to design and implement AI features that enhance our products and improve client experience. You will contribute to the development of AI applications, collaborate with a team of skilled technologists, and gain hands-on experience in applying AI strategies to real-world challenges.

Before applying for this role, please read the following information about this opportunity found below.

RESPONSIBILITIES

Develop, maintain, and improve AI / ML codebases, services and APIs with a focus on reliability and scalability.

Collaborate with cross-functional teams including engineers, data scientists, and domain experts to deliver impactful AI solutions.

Implement and support AI / ML pipelines for deployment, monitoring and lifecycle management.

Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products.

Collaborate with engineers, data scientists, and domain experts to deliver impactful AI solutions.

Write, clean, testable, and well-documented code to help the team build AI-integrated solutions with confidence.

Define architectural changes that can be implemented incrementally, while minimizing risk.

Define and evolve model governance, monitoring, drift detection and re-training workflows.

Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards.

Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field

Experience :

Hands-on software engineering experience working with AI / ML systems or data-driven applications.

Experience developing software utilizing various languages, including Python, SQL and / or the ability to pick up new languages quickly.

Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling.

Experience designing and deploying ML models to production and optimizing MLOps practices

Experience with the full lifecycle of software and AI / ML development, including version control, build management, unit testing, CI / CD, API paradigms and model versioning.

Experience in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes.

Depth in using LLMs, including training, fine-tuning, and evaluation. Historical background in “traditional” NLP tools

Experience in SOA, Modular Monolith Architecture, and distributed systems for AI training and inference

Familiarity with static analysis, code scanning, and ML-specific monitoring tools

Knowledgeable in responsible AI and security best practices, including OWASP Top 10 and OWASP ML Top 10

Strong collaboration, communication, and problem-solving skills in cross-functional environments.

PREFERRED QUALIFICATIONS

Education / Certification :

Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands and fingers to handle, type, or feel; reach with hands and arms; and talk or hear. The employee may occasionally lift and / or move up to 25 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.

WORK ENVIRONMENT AND ENVIRONMENTAL CONDITIONS

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

No hazardous or significantly unpleasant conditions. (Such as in a typical office). The noise level in the work environment is usually moderate.

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INTENT AND FUNCTION OF JOB DESCRIPTIONS

Job descriptions assist organizations in ensuring that the hiring process is fairly administered and that qualified employees are selected. They are also essential to an effective appraisal system and related promotion, transfer, layoff, and termination decisions. Well-constructed job descriptions are an integral part of any effective compensation system.

All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

In accordance with the American with Disabilities Act, it is possible that requirements may be modified to reasonably accommodate disabled individuals. However, no accommodations will be made which may pose serious health or safety risks to the employee or others or which impose undue hardships on the organization.

Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law.