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Genai Engineer Jobs in Colorado (NOW HIRING)

KPMG

Sr. Engineer - GenAI

Denver, CO · On-site

$126K - $166K/yr

KPMG is currently seeking a Sr. Software Engineer to join our Tax Ignition Team. This is a hybrid ... Background in building GenAI based applications or functionalities, RAG Algorithms and Agentic ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

KPMG

Lead Engineer I - GenAI

Denver, CO · On-site

$105K - $139K/yr

KPMG is currently seeking a Lead Engineer I to join our Ignition Tax Product Team. This is a hybrid ... GenAI based applications or functionalities, RAG Algorithms and Agentic Frameworks like LangChain ...

Litera

Software Engineer

Denver, CO · On-site +1

Why this Role Matters As a Software Engineer working with the latest generative AI technology, you ... You will function as a company GenAI evangelist, helping Litera to fully leverage the ever ...

Litera

Software Engineer

Denver, CO · On-site

Why this Role Matters As a Software Engineer working with the latest generative AI technology, you ... You will function as a company GenAI evangelist, helping Litera to fully leverage the ever ...

Litera

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

Why this Role Matters As a Senior Software Engineer working with the latest generative AI ... You will function as a company GenAI evangelist, helping Litera to fully leverage the ever ...

Litera

Senior Software Engineer

Denver, CO · Hybrid

$126K - $166K/yr

Why this Role Matters As aSeniorSoftware Engineer working with the latest generative AI technology ... Collaborate withLiteradevelopment teams to design innovative GenAI-based products and features ...

Litera

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

As a Senior AI Engineer, you will play a critical role in shaping Litera's GenAI strategy, architecture, and technical standards across both customer-facing products and internal platforms. In this ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Denver, CO · On-site

$105K - $139K/yr

Mentor and develop junior FDEs GenAI Solution Development * Architect and oversee delivery of LLM ... Engineering & Data Foundations * Review and contribute to production-quality code * Guide ...

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All JobsGenai Engineer JobsGenai Engineer Jobs in Colorado

Genai Engineer information

What are some typical challenges a GenAI Engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI Engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI Engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Colorado? For Genai Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Colorado look for? The top searched job categories for Genai Engineer jobs in Colorado are:
What cities in Colorado are hiring for Genai Engineer jobs? Cities in Colorado with the most Genai Engineer job openings:
Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Colorado as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.
Data & GenAI Engineer (L3) (Hybrid In-Office)

Data & GenAI Engineer (L3) (Hybrid In-Office)

Accuris

Denver, CO • On-site

$140K - $160K/yr

Other

Posted 28 days ago

Job description

Data & GenAI Engineer (L3)
About Us
Accuris was formed in May 2023 through the combination of S&P Engineering Solutions (formerly part of IHS Markit) and Techstreet, bringing together over six decades of leadership in engineering standards, technical content, and workflow technology.
Accuris transforms the world's largest repository of standards and supply chain data into AI-driven insights and connected workflows - enabling engineers to work smarter, stay compliant, and innovate faster.
About the Role
At Accuris, we sit on one of the most valuable and complex engineering data ecosystems in the world. Every day, our customers rely on our intelligence to make critical decisions involving compliance, supply chain risk, engineering design, and product innovation. Turning that data into actionable intelligence is one of the most exciting challenges in modern AI.
As a Data & GenAI Engineer, you will help build the next generation of AI-powered products by combining strong data engineering fundamentals with modern agentic AI architectures. This role is focused on delivering production-ready GenAI solutions-not prototypes. You'll design retrieval-augmented generation (RAG) systems, build intelligent agents, develop reliable data pipelines, and help create AI experiences grounded in trusted engineering data.
You'll work at the intersection of data, software engineering, and artificial intelligence, helping Accuris deliver scalable, measurable, and customer-facing AI capabilities that drive real business value.
Responsibilities
  • Design, build, and support production-grade GenAI solutions, including retrieval-augmented generation (RAG), agentic workflows, document ingestion pipelines, and retrieval systems.
  • Develop and maintain scalable data pipelines that transform structured and unstructured information into high-quality datasets for AI and analytics applications.
  • Implement prompt engineering, retrieval strategies, vector search capabilities, and grounding techniques to improve model performance, accuracy, and reliability.
  • Build and support agent orchestration frameworks, including supervisor-agent patterns, task delegation, workflow coordination, and multi-step reasoning processes.
  • Establish best practices for testing, observability, evaluation, monitoring, and documentation to ensure AI and data solutions are measurable and production-ready.
  • Collaborate with product, engineering, and data teams to deliver innovative AI-powered features that improve customer outcomes and accelerate product innovation.

What We're Looking For
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent hands-on experience.
  • 3-5 years of experience building software, data engineering solutions, or AI-enabled applications in a production environment.
  • Strong Python programming skills and experience writing clean, maintainable, and scalable code.
  • Strong SQL skills, including complex joins, aggregations, window functions, and data transformation techniques.
  • Understanding of modern data engineering concepts, including ETL/ELT pipelines, orchestration, incremental processing, data quality, and Medallion Architecture principles.
  • Working knowledge of large language models (LLMs), embeddings, vector databases, retrieval-augmented generation (RAG), and prompt engineering techniques.

Key Skills & Competencies
  • Passion for emerging AI technologies and a desire to build practical, production-ready solutions using modern GenAI tools and frameworks.
  • Strong analytical and problem-solving skills with the ability to navigate ambiguity and solve complex technical challenges.
  • Ownership mindset with a focus on outcomes, continuous improvement, and delivering high-quality work.
  • Excellent communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
  • Adaptability and curiosity, with the ability to learn quickly and evolve alongside rapidly changing AI technologies.

Location
Denver, Colorado - Hybrid In-Office, 3x a week
Compensation/Benefits Information
Accuris states that the anticipated base salary range for this position is $140,000 to $160,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual bonus plan as well as comprehensive benefits. For more information on benefits, please reach out to the recruiter assigned to the role.
About Company Statement
We provide the world's engineers mission-critical intelligence, safeguarding the technology of today and enabling the breakthroughs of tomorrow. Accuris transforms the world's largest repository of standards and supply chain data into AI-driven insights and connected workflows - enabling engineers to work smarter, stay compliant, and innovate faster. Behind every world-changing innovation - there's Accuris - the most trusted intelligence platform for engineers.
https://accuristech.com/
Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age,

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