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Ai Engineer Architect Jobs in Colorado (NOW HIRING)

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... This role works closely with solution architects and platform teams to ensure AI solutions are ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... This role works closely with solution architects and platform teams to ensure AI solutions are ...

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise ... Architect and scale machine learning pipelines to support automated workflows across Fund ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... Participate in architectural and deployment discussions to ensure solutions are designed for ...

AI Engineer Location: Centennial, CO (In-Office) Company: Yield Solutions Group Reports to: AI ... Own the solution architecture from initial design through production deployment. * Establish ...

New

Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines ...

AI Engineer JOB SUMMARY We are seeking a motivated AI Engineer who, working under general direction ... Document methods, architecture decisions, and model evaluations. * Engage in continuous learning on ...

AI Engineer JOB SUMMARY We are seeking a motivated AI Engineer who, working under general direction ... Document methods, architecture decisions, and model evaluations. * Engage in continuous learning on ...

We are hiring an AI Engineer to own the secure infrastructure and delivery backbone beneath that ... Author Architecture Decision Records for non-trivial decisions and shepherd them to acceptance.

The engineer we're looking for has shipped an LLM-backed feature and supported it afterward, can ... You'll be in the room for architecture discussions and readouts instead of receiving requirements ...

... engineers, and full-stack builders to create intelligent agents used by millions of people every ... You'll work at the intersection of AI, platform architecture, and human workflows, with the ...

The Staff AI Engineer will architect and operationalize production-grade multi-agent systems to enhance advisor capabilities and streamline investment intelligence workflows. Responsibilities : • ...

Senior AI Engineer

Broomfield, CO · On-site

$123K - $162K/yr

As a senior member, you will help establish architecture patterns, engineering practices, and governance standards to scale AI solutions securely and effectively. Key Responsibilities * Lead the ...

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

AI Engineer Department: Data Engineering Employment Type: Permanent - Full Time Location: Remote ... architecture team. * Work in nimble pairs with feature owners, standing up whatever's needed to ...

Lead AI Engineer

Denver, CO · On-site

$147K - $202K/yr

Lead AI Engineer Company: Prologis Title: Lead AI Engineer Location: Denver, CO; San Francisco, CA ... As a lead individual contributor, this role provides technical leadership through architecture ...

Lead AI Engineer Company: Prologis Title: Lead AI Engineer Location: Denver, CO; San Francisco, CA ... As a lead individual contributor, this role provides technical leadership through architecture ...

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

Collaborate with architects and application teams on solution implementation. * Ensure solutions ... software engineering experience * 2+ years building production AI services, AI platforms, or ...

... to long-term AI architecture and strategy * Collaborate cross-functionally with IT, data, and ... Solid prompt engineering skills - you understand how to structure prompts, iterate, and get ...

... to long-term AI architecture and strategy * Collaborate cross-functionally with IT, data, and ... Solid prompt engineering skills - you understand how to structure prompts, iterate, and get ...

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Ai Engineer Architect information

What is an AI engineer architect?

AI Engineer Architects are professionals who design, develop, and oversee the implementation of artificial intelligence solutions within organizations. They combine expertise in AI technologies, such as machine learning and deep learning, with architectural skills to create scalable, robust, and efficient AI systems. Their responsibilities often include selecting appropriate AI frameworks, ensuring data pipelines are optimized, and collaborating with data scientists, engineers, and business stakeholders to align AI initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as an AI engineer architect?

To thrive as an AI Engineer Architect, you need deep expertise in computer science, machine learning, algorithm development, and system architecture, often supported by advanced degrees and experience in AI project delivery. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or GCP), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is typically required. Strong communication, problem-solving, and leadership skills help you bridge technical and business requirements and guide teams effectively. These skills are crucial for designing scalable, innovative AI solutions that align with organizational goals and drive successful implementation.

How does an AI engineer architect typically collaborate with cross-functional teams during project development?

AI Engineer Architects regularly work alongside data scientists, software engineers, product managers, and business stakeholders to design and implement AI-driven solutions. They are responsible for translating complex business requirements into scalable AI architectures, guiding project direction, and ensuring technical feasibility. Collaboration often involves leading technical discussions, conducting code and architecture reviews, and providing mentorship to junior AI engineers. Effective communication and teamwork are essential, as AI Engineer Architects must align AI initiatives with broader organizational goals.

What is the difference between Ai Engineer Architect vs Data Scientist?

AspectAi Engineer ArchitectData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigning AI architectures, developing models, integrating AI solutionsAnalyzing data, building predictive models, deriving insights
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in AI and machine learning, Ai Engineer Architects focus on designing and implementing AI systems and architectures, whereas Data Scientists analyze data to generate insights and build models. The roles often overlap but differ mainly in scope and responsibilities.

What are popular job titles related to Ai Engineer Architect jobs in Colorado?

For Ai Engineer Architect jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Ai Engineer Architect jobs?

Cities in Colorado with the most Ai Engineer Architect job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 450 rated engineering


Job description

Description
Your role at GEI.
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI's priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
Essential Responsibilities & Duties
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL• E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $110,000.00- $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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