Senior ai/ml engineer

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.

ACCOUNTABILITIES:

Engineering:

• 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.

Design and Innovation:

• 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.

Collaboration:

• The Senior AI/ML Engineer will 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.

Skills

GenAI, RAG, Cloud, AI/ML, MLops, LLMs, SQL

Top Skills Details

GenAI, RAG, Cloud, AI/ML, MLops, LLMs, SQL

Additional Skills & Qualifications

PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)

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

Job Type & Location

This is a Permanent position based out of Minneapolis, MN.

Pay and Benefits

The pay range for this position is $125000.00 - $150000.00/yr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 23, 2026.

About TEKsystems

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.