Senior AI/ML Engineer

TEKsystems•Minneapolis, MN

2d•$125,000 - $150,000•Remote

About The Position

The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization. This position will focus on designing, developing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions. As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes.

Requirements

GenAI
RAG
Cloud
AI/ML
MLops
LLMs
SQL

Nice To Haves

Master’s or PhD in a related technical field.
Hands-on experience with agentic AI frameworks.

Responsibilities

Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases.
Design, build and operationalize Gen AI (such as Retrieval Augmented Generation) and emerging Agentic AI solutions to address domain specific needs, improve user experiences and automate business workflows.
Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent).
Integrate cloud-native and third-party AI SaaS solutions to accelerate delivery and reduce time to value.
Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective within cloud environments.
Create reusable components, frameworks, and best practices to accelerate AI development.
Evaluating emerging AI technologies including GenAI and agentic AI (e.g., Model Context Protocol (MCP), Google’s Agent-to-Agent (A2A) protocol), as well as third-party low-code platforms) for their feasibility, scalability, and alignment with cross-functional business needs.
Solve for business problems by applying novel techniques and Innovating thinking.
Partner with data scientists, architects, product managers, business stakeholders, and technical teams across the organization to ensure AI solutions align with organizational goals.
Providing direct technical support and mentorship to technical teams across the enterprise is essential for enabling successful AI/ML implementations.
Enabling other teams to adopt AI Into their products
Leverage diverse skills and perspectives, leading to more effective problem-solving and decision-making.
Other duties as assigned.