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Entry Level Ai Agent Developer Jobs in Minnesota

Optimizely

AI Customer Strategist

Minneapolis, MN

$126K - $163K/yr

... Engineers, and Customer Success collegues to deliver shared customer outcomes Builds trust and ... AI agent platforms a plus Education N/A Competencies Optimizely is committed to a diverse and ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

Azure AI Foundry, Google Vertex) • Familiarity with agent frameworks, agentic workflows, and ... Mortenson is a U.S.-based, top-25 builder, developer and provider of energy and engineering ...

Acara Solutions

CNC Machinist

Minneapolis, MN · On-site

$22/hr

Knowledge of G&M codes, ideally with Mitsubishi controls/programming. * Math skills and blueprint ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

Familiarity with agent frameworks, agentic workflows, and knowledge graph, preferred * Strong ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Mortenson

AI Engineer

Minneapolis, MN

Familiarity with agent frameworks, agentic workflows, and knowledge graph, preferred * Strong ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Shipt

Senior AI Engineer

Minneapolis, MN · On-site

Impact As a Senior AI Engineer on the AI Platform team, you will design, build and scale AI ... with LLM gateways, agent frameworks, and structured output * systems to improve AI-powered ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and ... Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG ...

UnitedHealth Group

Lead AI Engineer - Remote

Eden Prairie, MN · On-site +1

$145K - $249K/yr

We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and ... Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG ...

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Entry Level Ai Agent Developer information

What is an entry level AI agent developer?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What are the key skills and qualifications needed to thrive as an entry level AI agent developer?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What does an entry level AI agent developer do?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are the most commonly searched types of Ai Agent Developer jobs in Minnesota? The most popular types of Ai Agent Developer jobs in Minnesota are:
What are popular job titles related to Entry Level Ai Agent Developer jobs in Minnesota? For Entry Level Ai Agent Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in Minnesota look for? The top searched job categories for Entry Level Ai Agent Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Ai Agent Developer jobs? Cities in Minnesota with the most Entry Level Ai Agent Developer job openings:
Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Customer Strategist

Optimizely

Minneapolis, MN

$126K - $163K/yr

Other

Re-posted 3 days ago

Job description

We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.
 
From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.
 
10,000+ brands including H&M, PayPal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in MarTech.
 
But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.
 
If you want to be part of a team that's shaping the future of marketing technology - and actually enjoys doing it - you're in the right place.
Find us on Instagram: @optimizely
Introduction

The AI Customer Strategy team drives measurable customer impact by guiding Optimizely AI product adoption from onboarding through long-term AI maturity. AI Customer Strategists serve as the primary strategic partner for customers - owning the relationship, use case development, sustained usage, and renewal support alongside AEs.

The AI Customer Strategist independently delivers customer engagements, onboarding programmes, and AI strategy deliverables. Applies established frameworks with minimal supervision to drive Optimizely AI adoption, usage depth, and customer value realization.

Job Responsibilities

Organizational Impact & Scope of Responsibility

Owns end-to-end customer relationship for an assigned portfolio from kickoff through steady-state AI adoption

Delivers defined onboarding programs, use case roadmaps, and QBRs tied to measurable Optimizely AI outcomes

Contributes reliably to team targets; impact primarily within assigned customer base and immediate cross-functional partners

Innovation & Complexity

Solves moderately complex customer challenges by adapting Optimizely AI best practices and AI strategy frameworks to varied client contexts

Identifies improvements to delivery templates, workshop formats, and onboarding playbooks within own engagements

Applies judgment to tailor known approaches; escalates novel or high-risk situations to senior team members

Communication & Influence

Communicates progress, blockers, and outcomes clearly to customers, internal teammates, and immediate stakeholders

Collaborates effectively with  Account Executives, Solutions Engineering, Forward Deployed Engineers, and Customer Success collegues to deliver shared customer outcomes

Builds trust and credibility at the practitioner and manager level through consistent, quality execution

Decision-Making & Autonomy

Independently executes customer engagements within established guidelines and prioritized account criteria

Makes day-to-day decisions on engagement approach, workshop design, and use case sequencing

Escalates executive-level risks, significant scope changes, or renewal signals to senior strategist or manager

 

Leadership & Collaboration

Actively supports team collaboration and knowledge sharing; contributes to a positive team culture

May informally assist junior colleagues on delivery processes, Optimizely AI product knowledge, or customer frameworks

Participates in cross-functional GTM efforts including pre-sales support and onboarding handoffs

AI & Automation

Uses Optimizely AI and approved AI tools to improve efficiency in research, presentation prep, and use case analysis

Applies AI-assisted workflows to streamline repeatable deliverables such as onboarding plans and strategy decks

Identifies opportunities where AI can improve customer outcomes and shares learnings with the team

Knowledge and Experience

Experience working in customer success, strategy consulting, onboarding, or implementation - ideally in SaaS or MarTech

Solid understanding of applied AI concepts, especially in marketing and digital experience contexts

Confident facilitating workshops and presenting to customer managers; familiarity with Optimizely AI or comparable AI agent platforms a plus

Education

N/A

Competencies

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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