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Ai Optimization Jobs in Minnesota (NOW HIRING)

Ensure operationalization, monitoring, and performance optimization of AI solutions. * Provide technical direction to data scientists, ML engineers, IT product owners, and other contributors.

Helping clients navigate the evolving landscape of SEO as AI integration and user adoption scales * On-page optimization activities, such as keyword research, metadata development, internal linking ...

... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ... AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

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Ai Optimization information

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.
What are popular job titles related to Ai Optimization jobs in Minnesota? For Ai Optimization jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Ai Optimization jobs? Cities in Minnesota with the most Ai Optimization job openings:
Infographic showing various Ai Optimization job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Sr. Manager, AI Enablement

Ocean Spray

Lakeville, MN • On-site

$128 - $176/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

14th of 436 rated food and drinks producers


Job description

Sr. Manager, AI Enablement

The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing evolution of Ocean Spray’s enterprise AI strategy. The role plays a critical part in driving initial awareness, adoption, and value, particularly through Microsoft Copilot, SAP, and other AI tools. It oversees the full AI portfolio, identifying and prioritizing high‑value use cases that deliver measurable business impact while building the foundational processes and capabilities needed for long‑term growth. The leader manages a small team of AI practitioners and works closely with IT, business functions, and external partners to design and deploy AI solutions that leverage enterprise applications, tools, and data. The role ensures all AI initiatives align with business goals, follow responsible AI practices, and support organizational transformation.

A Day in the LifeAI Strategy & Portfolio Leadership
  • Develop and refine the enterprise AI strategy in alignment with cooperative business priorities.
  • Identify, assess, and prioritize high‑impact AI opportunities across Commercial, Operations, Supply Chain, Finance, Corporate, and IT.
  • Build business cases that quantify expected outcomes, ROI, risks, and success metrics.
  • Lead execution of the AI portfolio to ensure delivery of measurable value.
  • Strengthen AI governance, security, and responsible AI practices.
  • Provide clear updates, portfolio reporting, and executive communications.
Technical Leadership & Delivery
  • Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and Cybersecurity teams to architect scalable AI solutions.
  • Contribute hands‑on to solution design, prototyping, model evaluation, and prompt engineering.
  • Support implementation of MLOps and model lifecycle practices with platform teams.
  • Ensure operationalization, monitoring, and performance optimization of AI solutions.
  • Provide technical direction to data scientists, ML engineers, IT product owners, and other contributors.
Cross‑Functional Collaboration & Adoption
  • Serve as a champion for AI awareness and adoption across the cooperative, especially focusing on embedding Microsoft Copilot, SAP, Workday and other approved tools into processes and workflows.
  • Support change management efforts to drive adoption of AI‑enabled improvements.
  • Build strong partnerships with internal stakeholders and external vendors to introduce leading tools and methods.
  • Foster a collaborative, learning‑oriented team environment.
What We Are Looking ForTechnical Skills
  • Strong understanding of AI/ML concepts (supervised/unsupervised learning, NLP, generative AI, optimization, predictive modeling).
  • Ability to prototype or evaluate AI models and prompts using tools such as Python and SQL.
  • Familiarity with enterprise AI platforms, cloud technologies, MLOps, and responsible AI frameworks.
  • Solid knowledge of data engineering fundamentals, data quality, and integration.
  • Experience with enterprise systems such as SAP S/4HANA, SAP IBP/SAC, Microsoft 365 Copilot, Maximo or SAP EAM/APM, Workday, and Azure services.
Strategic & Analytical Skills
  • Strong ability to evaluate business needs and size opportunities.
  • Skilled at translating complex technical concepts into business‑friendly language.
  • Capable of managing complex initiatives while balancing short‑ and long‑term priorities.
Leadership & Collaboration
  • Proven ability to lead, coach, and develop AI talent.
  • Strong cross‑functional influence and stakeholder management skills.
  • Sound decision‑making and adaptability in dynamic environments.
Communication & Change Leadership
  • Excellent written and verbal communication skills for technical and executive audiences.
  • Able to articulate value, risks, progress, and recommendations clearly.
  • Experience supporting change management related to AI adoption.
Education & Experience

Education: Bachelor's or University Degree (Required)

Work Experience: At least 7 Years of Experience

Annual Salary: $128,000 - $176,000

Benefits
  • Complete insurance package on Day‑1 that includes a plethora of health and wellness programs
  • Health, Dental and Vision insurance
  • Health savings account
  • Flexible spending account
  • Life and accident insurance
  • Employee assistance program
  • Telehealth services
  • 1:1 health coaching
  • Supportive benefits for all the stages of your life
  • 401(k) with up to 6% Company matching; additional potential discretionary match at year‑end
  • Short‑Term Incentive/Performance bonuses
  • Flexible scheduling options
  • Vacation pay, up to three weeks of time (pro‑rated for your first year of employment)
  • Holiday pay for 12 holidays
  • Career development and growth opportunities
  • Tuition/Education assistance programs
  • Access to LinkedIn Learning
  • Scholarship programs for children of employees
  • Parental leave
  • Bright Horizons Family Solutions – Back‑up care, tutoring, etc.
  • Adoption assistance
  • Bereavement leave
  • Up to $300 fitness reimbursement
  • Up to $300 massage reimbursement
  • Employee appreciation events
  • Employee discounts
  • Charitable giving

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

For MA Applicants – It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.

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