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Ai Data Developer Jobs in Colorado (NOW HIRING)

AI Data Engineer

Lakewood, CO · On-site

$115.60K - $138.80K/yr

AI Data Engineer JOB SUMMARY Working under general direction, designs, builds, and owns the data that powers AI-driven agents and decision systems in production enterprise environments. This role is ...

AI Data Engineer

Lakewood, CO

$115.60K - $138.80K/yr

AI Data Engineer JOB SUMMARY Working under general direction, designs, builds, and owns the data that powers AIdriven agents and decision systems in production enterprise environments. This role is ...

AI Data Engineer Manager

Denver, CO · On-site

$117.90K - $141.50K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of ... Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning ...

AI Data Engineer - Manager

Denver, CO

$117.90K - $141.50K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning ...

AI / Data Engineer

Fort Collins, CO · On-site

$113.30K - $136.10K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer Senior Consultant

Denver, CO · On-site

$117.80K - $141.50K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and GenAI foundations for Human Capital AI products and analytics, collaborating with various teams to ...

AI Data Engineer Senior Consultant

Denver, CO · On-site +1

$109.10K - $148.20K/yr

AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ... AI tools and practices across data, models and software engineering, focusing on continuous ...

AI Data Engineer - Senior Consultant

Denver, CO · Hybrid

$107.60K - $147.70K/yr

... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...

Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ... Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital ...

AI Data Scientist

Broomfield, CO · On-site

$95K - $125K/yr

Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ... Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital ...

Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ... Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital ...

Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ... Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital ...

Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and ... Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital ...

Sr Databricks Data Engineer

Denver, CO

$117.90K - $141.50K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

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Showing results 1-20

Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What are popular job titles related to Ai Data Developer jobs in Colorado? For Ai Data Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Data Developer jobs in Colorado look for? The top searched job categories for Ai Data Developer jobs in Colorado are:
What cities in Colorado are hiring for Ai Data Developer jobs? Cities in Colorado with the most Ai Data Developer job openings:
AI Data Engineer

AI Data Engineer

Terumo BCT, Inc.

Lakewood, CO • On-site

$115.60K - $138.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Requisition ID: 35025
At Terumo Blood and Cell Technologies, our 8,000+ global associates proud to come to work each day, knowing that what we do impacts the lives of patients around the world. For Terumo, for Everyone, Everywhere.
We make medical devices and related products that are used to collect, separate, manufacture and process various components of blood and cells. With our innovative technologies and service offerings, we touch a patient's life every second of every day and are committed to continuing to increase the number of patients we serve. Advancing healthcare with heart.
With some of the best and brightest minds in the industry, an unmatched global footprint, comprehensive benefits and a distinct culture, Terumo Blood and Cell Technologies is a great place to work, grow and be part of a team that is focused on making a difference. Join us and help shape wherever we go next. You create your future and ours.
AI Data Engineer
JOB SUMMARY
Working under general direction, designs, builds, and owns the data that powers AI-driven agents and decision systems in production enterprise environments. This role is responsible for ensuring that AI agents have access to the right data, in the right form, at the right time, so that models can reason effectively, respond accurately, and integrate safely into business workflows. The AI Data Engineer focuses on context engineering and data enablement for AI: acquiring, normalizing, structuring, and surfacing data for use by LLM- and hybrid AI agents. ETL, transformation, and data integration are important tools in service of this goal, but the core responsibility is owning the data inputs, representations, and feedback loops that shape agent behavior and outcomes.The role emphasizes data semantics, system context, evaluation, and collaboration across engineering, product, and governance to deliver AI systems that are reliable, auditable, and scalable.
ESSENTIAL DUTIES
Data Ownership for AI Agents
  • Own the data inputs and contextual information used by AI agents, including operational data, reference data, metadata, and derived representations.
  • Design and implement data ingestion, transformation, and normalization processes that make heterogeneous data usable by AI systems.
  • Define how data is exposed to agents (e.g., retrieval interfaces, structured context, tool inputs) so models can reason over it effectively.
  • Ensure data coverage, quality, and consistency across common and edge-case scenarios.

Context & Representation Engineering
  • Shape how data is represented for AI consumption, including structured schemas, constraints, and contextual packaging.
  • Work closely with agent and platform engineers to define data contracts between AI systems and downstream services.
  • Balance completeness, latency, cost, and interpretability when designing data access patterns for agents.

Evaluation & Feedback Loops
  • Design and maintain evaluation datasets and measurement frameworks to assess AI behavior, reasoning quality, correctness, and safety.
  • Analyze production signals and usage data using Python to identify gaps in data, context, or representations.
  • Use evaluation results and real-world feedback to iteratively improve the data supplied to AI agents.

Collaboration & Delivery
  • Partner with software engineers to integrate data pipelines and context services into AI-enabled workflows.
  • Work with product, compliance, and risk stakeholders to ensure data used by AI systems meets business, regulatory, and governance requirements.
  • Document data sources, transformations, assumptions, and known limitations to support transparency and long-term maintainability.

OTHER DUTIES AND RESPONSIBILITIES
  • Contribute to standards and best practices for data-centric AI system design.
  • Evaluate emerging tools, platforms, and approaches related to AI data enablement and evaluation.
  • Support knowledge sharing through documentation, reviews, and cross-team collaboration.

MINIMUM QUALIFICATION REQUIREMENTS
Education
Bachelor's degree in Computer Science, Data Science, Engineering, AI/ML, Linguistics, or a related field; or equivalent education and experience sufficient to perform the role.
Experience
  • Minimum 4 years demonstrated experience owning and delivering data that supports AI or decision systems in production.
  • Experience designing data ingestion, transformation, and normalization processes for downstream consumers.
  • Experience supporting AI or advanced analytics use cases where data structure and context directly impact system behavior.
  • Experience analyzing data using Python; SQL familiarity preferred.

Skills
  • Strong reasoning about data semantics, context, and edge cases.
  • Ability to think beyond pipelines and focus on how data enables system behavior and outcomes.
  • Clear written and verbal communication skills.
  • Comfort operating in ambiguous, fast-evolving technical environments.

-Or-
An equivalent competency level acquired through a variation of these qualifications may be considered.
Preferred Skills
  • Experience with AI agents, retrieval-based systems, or hybrid AI architectures.
  • Familiarity with cloud-based data and AI platforms.
  • Experience designing or using evaluation frameworks for AI-driven systems.

PHYSICAL REQUIREMENTS
Typical Office Environment requirements include: reading, speaking, hearing, close vision, traverse, bending, sitting, and occasional lifting up to 20 pounds.
Target Pay Range: $121,800.00 to $152,300.00 - Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data
Target Bonus on Base: 7.0
We anticipate this requisition will be open for a minimum of five days, from 4/29/2026. We encourage your prompt application.
At Terumo Blood and Cell Technologies, we provide competitive total reward offerings that consist of compensation, benefits, recognition, along with a wealth of other well-being, work-life and recognition programs which support in unlocking the potential for you and your family. Included in our expansive list of benefits offerings are multiple group medical, dental and vision plans, a robust wellness program, life insurance and disability coverages, also a variety of voluntary programs such as group accident, hospital indemnity, critical illness, pet insurance and much more. To help you save for retirement, we offer a 401(k) plan with a matching contribution and for work-life balance we have vacation and sick time programs for associates. For us, it's about protecting the personal welfare of our associates and their families, helping to achieve personal goals and offering those extra touches for convenience, security and overall peace of mind.
We are proud to be an Equal Opportunity Affirmative Action Employer. All applicants will be afforded equal opportunity without discrimination because of race, color, religion, sex, gender identity or expression, sexual orientation, marital status, order of protection status, national origin or ancestry, citizenship status, age, physical or mental disability unrelated to ability, military status or an unfavorable discharge from military service.