ZipRecruiter

Log In

1

Large Language Model Llm Jobs in Colorado (NOW HIRING)

Aprio

Business Intelligence Architect

Denver, CO · On-site

Design semantic models and data products with AI-readiness in mind-ensuring metadata quality, field descriptions, and schema consistency support large language model (LLM) integrations * Collaborate ...

Weld County

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Leverage large language model (LLM) orchestration patterns including ReAct, chain-of-thought prompting, and tool-calling to build reliable, goal-directed agents. * Prototype and iterate rapidly on ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and ... Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG)

Weld County

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Leverage large language model (LLM) orchestration patterns including ReAct, chain-of-thought prompting, and tool-calling to build reliable, goal-directed agents. * Prototype and iterate rapidly on ...

Litera

LLM Ops Engineer

Denver, CO · Hybrid

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Experience fine-tuning or training large language models for domain-specific applications.

Litera

LLM Ops Engineer

Denver, CO · On-site

$105K - $130K/yr

As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows ... Experience fine-tuning or training large language models for domain-specific applications.

Themesoft, Inc.

Lead Data Scientist

Denver, CO · On-site

... Large Language Models • Google Gemini models • PaLM models • Enterprise LLM integration patterns Google Cloud AI & Platform Expertise • Vertex AI (Gemini/PaLM) • Vertex AI Agent Builder • ...

Broadcom, Inc.

AI Software Engineer

Fort Collins, CO · On-site

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications: * Education: Bachelor's degree in Computer Science, Applied Mathematics, or ...

Broadcom

AI Software Engineer

Fort Collins, CO

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications: * Education: Bachelor's degree in Computer Science, Applied Mathematics, or ...

SwiftCruit

AI Software Engineer

Fort Collins, CO · On-site

$108 - $172.80/hr

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol Qualifications * Education: Bachelor's degree in Computer Science, Applied Mathematics, or a ...

TRACKVIA INC

Content Manager - Marketing

Denver, CO · On-site

$100K/yr

... other large language model (LLM) tools. * Conduct keyword research and implement best practices to increase organic traffic, discoverability, and authoritative brand presence. * Develop content ...

Litera

Product Manager - Legal Management

Denver, CO · On-site

$105K - $140K/yr

Experience working with generative AI / Large Language Model (LLM) technologies; experience shipping AI-powered products preferred * Proven track record of successfully bringing products to market ...

Litera

Product Manager - Legal Management

Denver, CO · Hybrid

$105K - $140K/yr

Experience working with generative AI / Large Language Model (LLM) technologies; experience shipping AI-powered products preferred * Proven track record of successfully bringing products to market ...

previous pagenext page

Showing results 21-40

All JobsLarge Language Model Llm JobsLarge Language Model Llm Jobs in Colorado

Large Language Model Llm information

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with a large language model?

A large language model can be used in roles such as AI content developer, chatbot designer, or natural language processing specialist. These jobs involve tasks like training, fine-tuning models, creating AI-driven applications, and improving language understanding, often requiring skills in programming, data analysis, and machine learning tools.
What are the most commonly searched types of Large Language Model Llm jobs in Colorado? The most popular types of Large Language Model Llm jobs in Colorado are:
What are popular job titles related to Large Language Model Llm jobs in Colorado? For Large Language Model Llm jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Colorado look for? The top searched job categories for Large Language Model Llm jobs in Colorado are:
Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Business Intelligence Architect

Aprio

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

Work with a Top 20 CPA and advisory firm that Accounts for Anything.  Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe.  By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio.

Join Aprio's Information Technology team and you will help clients maximize their opportunities.  Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Business Intelligence Architect to join their dynamic team. 

Aprio's Insights & Analytics team is expanding its Microsoft Fabric platform capabilities and is seeking a skilled Power BI & Fabric Semantic Model Architect to lead the design, development, and governance of enterprise-grade semantic models. This role bridges the gap between raw data and business insight-translating complex stakeholder requirements into well-structured, performant data models that power decision-making across the firm. 

The ideal candidate is both technically deep and interpersonally strong-someone who can lead and coach a team of report developers, facilitate requirements sessions with business stakeholders, and architect scalable solutions within Microsoft Fabric and Power BI. As Aprio accelerates its AI strategy, this role will play a central part in enabling natural language query (NLQ) capabilities, AI-powered analytics, and Copilot integration across the firm's reporting ecosystem.

Responsibilities:

Semantic Modeling & Architecture 

  • Design and build enterprise semantic models in Microsoft Fabric using Direct Lake mode, Power BI Datasets, and Dataflows Gen2 
  • Develop well-structured star and snowflake schemas optimized for Power BI performance, NLQ discoverability, and Copilot compatibility 
  • Author complex DAX measures, calculated columns, and KPI logic following organizational standards; ensure measure naming and descriptions support AI-assisted querying 
  • Establish and maintain a governed, reusable semantic layer across reporting domains (finance, operations, marketing, HR, growth) 
  • Evaluate and implement incremental refresh, aggregations, and query reduction strategies 
  • Architect semantic models to support natural language query (Q&A, Power BI Copilot, Azure OpenAI integration) by enforcing descriptive field names, synonyms, and measure annotations 
  • Define and maintain Q&A synonyms, linguistic schemas, and field-level descriptions that enable accurate AI-driven query interpretation 

AI, Natural Language Query & Copilot Enablement 

  • Lead Aprio's adoption of Power BI Copilot and Microsoft Fabric AI features, including AI-generated report summaries, smart narratives, and anomaly detection 
  • Design semantic models and data products with AI-readiness in mind-ensuring metadata quality, field descriptions, and schema consistency support large language model (LLM) integrations 
  • Collaborate with IT and data engineering to evaluate and implement natural language query interfaces, including Power BI Q&A, Copilot for Microsoft 365, and Azure OpenAI Service connections to Fabric data 
  • Develop prompting strategies and governance guardrails for AI-generated insights to ensure accuracy, auditability, and alignment with firm standards 
  • Evaluate emerging Microsoft AI capabilities (Fabric Workload Hub, Copilot Studio, OneLake AI catalog) and provide architectural recommendations for phased adoption 
  • Partner with business stakeholders to identify high-value use cases for AI-assisted analytics, self-service insights, and conversational BI 
  • Educate and upskill team members and business users on responsible use of AI tools within the BI ecosystem 

Team Coaching & Development 

  • Mentor and coach a team of 4+ report developers, providing technical guidance on best practices, model design, DAX, and AI-era BI patterns 
  • Conduct code and model reviews, establishing a culture of quality and continuous improvement 
  • Create internal documentation, standards guides, and reusable component libraries for the team 
  • Support onboarding of new team members and facilitate skill development in Power BI, Fabric, and emerging AI analytics tools 

Business & Stakeholder Engagement 

  • Lead requirements-gathering sessions with business stakeholders, translating needs into data model specifications and AI-assisted analytics roadmaps 
  • Serve as a trusted advisor, clearly communicating model design decisions, tradeoffs, and AI capability opportunities to executive and non-technical audiences 
  • Collaborate with data engineers, DevOps, and business analysts to ensure analytical models support downstream use cases including Copilot and self-service BI 
  • Champion data literacy and responsible AI use across the organization in collaboration with the data governance manager and data governance committee 

Fabric Platform & Governance 

  • Own the semantic model layer within the Aprio Microsoft Fabric Lakehouse architecture (OneLake, Lakehouse, Notebooks) 
  • Define and enforce naming conventions, model governance standards, certification processes, and AI metadata standards for published datasets 
  • Coordinate with the data engineering team to ensure clean, well-documented source data is available for modeling and AI consumption 
  • Monitor model health, performance, and usage via Power BI Admin portal and Fabric Monitoring Hub 
  • Ensure compliance with data security, row-level security (RLS), and data privacy requirements across all published models and AI-accessible data products 
  • Establish AI governance practices including prompt auditability, output validation standards, and acceptable use policies for AI-generated content within BI workflows 
Qualifications:
  • 5-8 years of experience designing and publishing Power BI semantic models in enterprise environments 
  • Proficiency in DAX, Power Query (M), and data modeling concepts (star schema, relationships, cardinality) 
  • Hands-on experience with Microsoft Fabric (OneLake, Lakehouses, Dataflows Gen2, Direct Lake mode) 
  • Demonstrated experience with Power BI Q&A, linguistic schema authoring, and synonym configuration for natural language query 
  • Familiarity with Power BI Copilot, Microsoft 365 Copilot, or Azure OpenAI Service integrations with Fabric data sources 
  • Demonstrated ability to gather, document, and translate business requirements into data models and AI-readiness roadmaps 
  • Experience coaching or mentoring junior analysts or developers 
  • Strong communication skills with the ability to explain technical concepts-including AI capabilities and limitations-to non-technical audiences 
  • Familiarity with data governance, RLS, dataset certification, and Power BI deployment pipelines 
  • Understanding of responsible AI principles, data privacy considerations, and AI output auditability in enterprise analytics contexts 
Preferred Qualifications:
  • Microsoft certifications: PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), or DP-100 (Azure Data Scientist) 
  • Experience with Azure OpenAI Service, Semantic Kernel, or LangChain in analytics or data product contexts 
  • Exposure to Copilot Studio or Power Automate AI flows for automating insight delivery 
  • Experience in a professional services or accounting firm environment 
  • Familiarity with Microsoft Purview for data cataloging, lineage, and AI governance 
Core Competencies:
  • Data Modeling Proficiency 
  • Performance Optimization 
  • AI & NLQ Enablement 
  • Translating to Tech and Non-Tech 
  • Analytical Thinking 
  • Coaching & Mentorship 
  • Attention to Detail 
  • Internal/External Team Collaboration 
  • Strong Communication 
  • Continuous Learning Mindset 
  • Business Acumen 
  • Responsible AI Judgment 
Why work for Aprio:
Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm.
 
 
Perks/Benefits we offer for full-time team members:
- Medical, Dental, and Vision Insurance on the first day of employment
- Flexible Spending Account and Dependent Care Account
- 401k with Profit Sharing
- 9+ holidays and discretionary time off structure
- Parental Leave - coverage for both primary and secondary caregivers
- Tuition Assistance Program and CPA support program with cash incentive upon completion
- Discretionary incentive compensation based on firm, group and individual performance
- Incentive compensation related to origination of new client sales
- Top rated wellness program
- Flexible working environment including remote and hybrid options
 
 
What's in it for you:
- Working with an industry leader: Be part of a high-growth firm that is passionate for what's next.
- An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience.  We call it the Aprio Way.  This shared mindset creates lasting relationships between team members and with clients.
- A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture.
- Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally.
- Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement.
- Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance.
 
 
EQUAL OPPORTUNITY EMPLOYER
Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.
 
Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply