Senior AI 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., * 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.

Knowledge of:

• Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies.
• Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development.
• Responsible AI principles, including bias mitigation and ethical deployment.
• ML Ops best practices including CI/CD for ML, model monitoring, and versioning.
• Proficient in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data engineering, SQL, and feature engineering.
• Direct experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.
• Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).
• Working with version control and collaboration tools (Git, Jira, Confluence).

Ability to:

• Build robust, scalable, and efficient AI/ML solutions in cloud-native environments.
• Translate ambiguous business problems into clear, technical ML/AI tasks.
• Communicate complex ideas clearly to technical and non-technical stakeholders.
• Learn and adapt quickly to emerging AI technologies, techniques, and tools., * A bachelor’s degree in computer science, information technology, engineering, or a related field is required. However, equivalent related experience and/or education may be considered as a substitute for the degree requirement upon evaluation.
• 5+ years of experience designing and deploying ML/AI solutions in real-world environments.
• Or a combination of 8 or more years of experience of software development/engineering, of which three or more years are AI/ML experience.
• Proven experience with GenAI tools and technologies (e.g., LLMs, prompt engineering, Vector databases, RAG, fine-tuning)

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.
• Prior contributions to open-source AI/ML projects or published research.
• AI/ML certifications from cloud providers
• Experience in highly regulated industries (e.g., healthcare, finance) a plus.

4.04.0 out of 5 stars Minnesota Remote $125,000 - $165,000 a year, Pulled from the full job description

• Continuing education credits
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Paid sick time
• Life insurance, Hollstadt offers medical, dental, vision, life insurance, short-term disability, long-term disability, paid sick leave, and retirement benefits to eligible employees. With three different medical plans to choose from, you can enroll in the coverage you need from individual to family, or anywhere in between!

Remarketing Process

Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6-8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.

Professional Development

Hollstadt offers on-demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).

401k + Matching

One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long-term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.

Bonus Opportunities

We appreciate and reward loyalty. Join Hollstadt, stay for 5 years, and we’ll give you a $5,000 Longevity Award bonus! Additionally, we know great talent knows other great talent. If you are on contract with Hollstadt and refer one of your connections who gets placed, we’ll pay you $1,000!

Ongoing Support & Networking

We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a ‘work buddy’ to provide a safe ear for questions or concerns at your client site.

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you’ll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We’re committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.