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Llm Remote Jobs in Minnesota (NOW HIRING)

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make: * Lead the design, development, and deployment of complex AI solutions, including LLM-based ...

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Llm Remote information

What is an llm remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What are some common challenges faced by remote large language model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

What are the key skills and qualifications needed to thrive as an llm remote engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.

What are the most commonly searched types of Llm jobs in Minnesota?

The most popular types of Llm jobs in Minnesota are:

Infographic showing various Llm Remote job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Principal Architect - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Re-posted 21 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Define and own end to end architecture for AI enabled and Generative AI solutions aligned with business outcomes, scalability, security, and compliance
  • Design reference architectures for LLM based systems, including prompt orchestration, RAG (Retrieval Augmented Generation), agent frameworks, and model integration patterns
  • Evaluate and recommend AI platforms, foundation models, and tooling (e.g., Azure OpenAI, vector databases, model gateways) based on use case fit and enterprise standards
  • Translate business and product requirements into scalable AI solution designs covering data ingestion, embeddings, model inference, orchestration, and integration with enterprise systems
  • Architect AI driven workflows that integrate with existing microservices, data platforms, APIs, and event driven systems
  • Provide hands on architectural guidance for complex AI implementations, including performance tuning and cost optimization
  • Embed Responsible AI principles including privacy, fairness, explainability, model risk management, and auditability into solution designs
  • Define guardrails for prompt management, data access, content filtering, and human in the loop controls
  • Ensure AI solutions comply with enterprise security, regulatory, and data governance standards.
  • Act as the technical authority for AI initiatives, guiding teams through architectural decisions and design trade offs
  • Design scalable cloud native and hybrid AI platforms supporting training, fine tuning, inference, and monitoring
  • Ensure high availability, resiliency, and observability for AI systems in production
  • Promote AI assisted development practices using tools such as GitHub Copilot to improve developer productivity, code quality, and test coverage
  • Establish standards for AI generated code review, validation, and security scanning
  • Act as a bridge between business stakeholders and technical teams to align AI capabilities with real business value
  • Support onshore/offshore teams with architectural direction and AI adoption guidance
  • Drive modernization initiatives leveraging GenAI for automation, insights, and improved user experience
  • Continuously refine AI architectures based on evolving business needs, usage patterns, and model performance

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 8+ years of experience with complex business requirements into scalable, secure, and high-performance architectures
  • 6+ years of experience in software engineering with at least 3+ years in a Technical Architect or Solution Architect role
  • 6+ years of experience with Java, Springboot, MicroServices, Kafka, API, Azure cloud, Databricks, SQLMI (or any DB)
  • 4+ years of experience with microservices, APIs, event driven systems, and containerized deployments
  • 4+ years of experience with lead design reviews, define standards, and provide technical oversight across cross functional teams
  • 2+ years of experience Azure cloud services with experience integrating Azure OpenAI into enterprise solutions
  • 1+ years of experience designing and implementing LLM based solutions, including RAG, prompt orchestration, and agent driven architectures

Preferred Qualifications:
  • Master's degree
  • Demonstrated experience architecting enterprise scale solutions in cloud environments (Azure preferred)
  • Practical experience delivering AI enabled or GenAI solutions in production environments
  • Proven knowledge of responsible AI principles, data privacy, security controls, and governance frameworks
  • Proven solid stakeholder management skills with the ability to work closely with Product, Business, Engineering, Data, and Security teams

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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