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Llmops Jobs in Minnesota (NOW HIRING)

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Establish MLOps and LLMOps frameworks for deployment and monitoring. * Lead architecture reviews and solution design workshops. * Mentor development and AI engineering teams. * Support client ...

Senior Solution Architect

Minneapolis, MN · On-site

$185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Solution Design, Delivery & LLMOps * Design, implement, and oversee enterprise AI solutions leveraging Large Language Models (LLMs), RAG, AI Agents, vector databases, and modern AI frameworks.

New

Senior Solution Architect

Minneapolis, MN

$185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Solution Design, Delivery & LLMOps * Design, implement, and oversee enterprise AI solutions leveraging Large Language Models (LLMs), RAG, AI Agents, vector databases, and modern AI frameworks.

New

Senior Solution Architect

Minneapolis, MN · On-site

$108 - $185/hr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Solution Design, Delivery & LLMOps Design, implement, and oversee enterprise AI solutions leveraging Large Language Models (LLMs), RAG, AI Agents, vector databases, and modern AI frameworks.

New

AI Architect

Minneapolis, MN · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... and LLMOps including CI/CD, model monitoring, governance, retraining, security, observability, and release controls. • Modern data platforms such as Databricks, Snowflake, cloud data lakes ...

... LLMOps practices. * Establish monitoring and observability for model performance, drift, bias, fairness, hallucination, toxicity, safety, latency, cost, resilience, and overall system reliability.

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Llmops information

What is the difference between Llmops vs Data Scientist?

AspectLlmopsData Scientist
Required credentialsKnowledge of machine learning, AI frameworks, cloud platformsStatistics, programming, data analysis skills
Work environmentAI/ML teams, cloud environments, deployment pipelinesData analysis, modeling, reporting in various industries
Employer usageTech companies, AI startups, research labsFinance, healthcare, tech, retail

While both roles involve working with data and machine learning, Llmops focuses on deploying and maintaining large language models in production environments, requiring expertise in AI infrastructure. Data Scientists primarily analyze data, build models, and generate insights. Llmops professionals ensure models operate efficiently at scale, whereas Data Scientists develop the models and interpret results.

What are popular job titles related to Llmops jobs in Minnesota?

For Llmops jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Llmops jobs?

Cities in Minnesota with the most Llmops job openings:

Infographic showing various Llmops job openings in Minnesota as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

$90K - $110K/yr

Full-time

Posted 21 days ago


Job description

AI Platform Architect
3+ years hands-on experience designing and implementing AI/ML or Generative AI solutions in enterprise environments.
Strong experience with LLMs, prompt engineering, RAG, agent workflows, embeddings, vector databases and API-based AI services.
Strong cloud architecture knowledge across Azure, AWS or GCP, plus microservices, APIs, distributed systems and event-driven architecture.
Experience with Python, modern AI/ML frameworks, DevOps, MLOps/LLMOps, CI/CD, infrastructure automation, documentation and architecture governance.
Familiarity with AI governance, model risk management, responsible AI standards, security reviews, red teaming, guardrails and adversarial testing.
Experience integrating AI into ITSM, observability, knowledge systems, workflow engines and regulated enterprise environments.
Define end-to-end architecture for enterprise AI solutions including LLM-based applications, RAG, agentic workflows and model orchestration services.
Design secure, scalable, maintainable and cost-effective AI blueprints across cloud, hybrid and on-premises environments.
Architect prompt orchestration, contextual grounding, embeddings, vector database integration, retrieval quality, hallucination controls and traceability.
Embed security-by-design and responsible AI controls covering IAM, API protection, auditability, logging, monitoring, data leakage and prompt injection mitigation.
Define MLOps/LLMOps, CI/CD, deployment, observability, evaluation framework, production readiness checklist and reusable AI reference architectures.
Salary Range- $90,000-$110,000 a year
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