Draper, UT

Engineer Jobs in Draper, UT

3 jobs found

Include remote jobs

14d ago

AI Engineer- Enterprise Solutions

Sterling Infrastructure, Inc. Draper, UT

Draper, UT

14d ago

Full time Ai Engineer Artificial Intelligence Azure

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Job Description

Sterling Infrastructure, Inc. is seeking an AI Engineer- Enterprise Solutions to support Heavy Civil Construction operations through AI-powered applications and practical data products. The role sits onsite in Draper, UT and requires close collaboration with construction operations teams as well as IT, security, and business leaders to deliver secure, scalable solutions using modern Microsoft technologies.

What you’ll do

Work directly with business and construction operations teams to identify opportunities for technology and AI solutions.
Design, develop, and deploy applications, AI agents, automations, dashboards, and data integrations.
Build end-to-end solutions using Microsoft Azure, Fabric, Power BI, and other modern AI technologies.
Create AI-powered workflows using tools such as Claude, Microsoft Copilot, and Azure AI.
Translate complex data into usable tools that improve efficiency, reporting, and decision-making.
Own projects from initial concept through deployment and ongoing support.
Collaborate with IT, security, and business leaders to deliver solutions that are secure and scalable.

What you bring

5+ years of experience in software engineering, cloud engineering, AI solutions, or a related field.
Strong programming and development skills, including SQL and REST APIs, plus experience with Python, .NET, TypeScript, or similar languages.
Hands-on experience with Microsoft Azure, Fabric, Power Platform, or comparable cloud technologies.
Practical experience developing AI solutions, automations, or data-driven applications.
Ability to work independently, communicate effectively with non-technical teams, and convert business needs into working solutions.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Technologies you’ll work with

Microsoft Azure, Fabric, Power BI, Power Platform
SQL, REST APIs
Python, .NET, TypeScript
Claude, Microsoft Copilot
Azure AI, large language model (LLM) technologies

Even better if you have

Experience with Claude, Microsoft Copilot, Azure AI, or other LLM technologies.
Experience building operational or financial dashboards.
Familiarity with construction technology platforms such as Viewpoint, HCSS, Trimble, or Autodesk.

This is an onsite role supporting Heavy Civil Construction operations, with the focus on delivering AI-powered workflows, integrations, and dashboards that help teams operate more efficiently and make better decisions.

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1mo ago

Sr. Staff AI Security Engineer

Bill.com Draper, UT 🇺🇸 Remote

Draper, UT

1mo ago Closed

$165k - $207k/yr Full time Ai Enabled Security Ai Security Data Security

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Bill.com is seeking a Sr. Staff AI Security Engineer to lead the secure deployment and ongoing operation of AI and ML systems. This role emphasizes protecting LLMs and orchestration layers through secure gateway design, structured red-teaming, and a risk roadmap grounded in the OWASP LLM Top 10.

Location

Draper, UT (remote)

Compensation

USD 165,200 - 206,600 per year (Draper, UT)
USD 194,300 - 243,000 per year (San Jose pay range)

Role Summary

This position focuses on securing LLMs and the orchestration layer around them. The work includes implementing secure gateways, leading adversarial testing, and driving an OWASP LLM Top 10–based security roadmap.

Responsibilities

Design, build, and operate secure AI gateways and policy orchestration layers across multiple AI models and service providers
Configure end point settings for AI tools in collaboration with IT end point management solutions
Stand up and lead a formal AI red-teaming practice addressing prompt injection, jailbreaking, model extraction, and emerging attack vectors
Identify and mitigate AI-specific threats, including input manipulation, supply chain risks (model weights, datasets, third-party AI libraries), data privacy (training data leakage and PII disclosure), and model integrity (poisoning and unauthorized fine-tuning)
Automate security checks and guardrails to support faster development cycles without weakening the security posture
Apply and operationalize the OWASP LLM Top 10 framework to categorize and mitigate risk
Own the AI security roadmap and advise senior leadership on AI risks and safe adoption
Partner with platform teams to strengthen a collaborative security culture
Mentor fellow engineers on AI security best practices
Document and report vulnerabilities with clear remediation guidance and technical direction

Required Qualifications

A proven track record building and scaling security systems in high-growth environments
High proficiency in Python or Go to build, automate, and scale security tooling
Deep understanding of LLM-specific attack vectors, including prompt injection and jailbreaking
Deep understanding and applied experience with the OWASP LLM Top 10 framework
Experience designing secure API gateways, orchestration layers, and scalable security infrastructure using infrastructure as code
Experience standing up red-teaming or adversarial testing programs
Strong grasp of AI/ML fundamentals, including model supply chain and data privacy risks
Builder mentality and interest in enabling development through secure architecture rather than blocking it
Ability to influence senior leadership and mentor engineers across the organization
Background in Computer Science, Cybersecurity, or a related technical field

Technologies

Python
Go
OWASP LLM Top 10
Infrastructure as code
AI/ML
LLMs

Benefits

100% paid employee health, dental, and vision plans (HMO, PPO, or HDHP)
HSA & FSA accounts
Life Insurance, Long & Short-term disability coverage
Employee Assistance Program (EAP)
11+ Observed holidays and wellness days and flexible time off
Employee Stock Purchase Program with employee discounts
Wellness & Fitness initiatives
Employee recognition and referral programs
Medical, dental, vision, life and disability insurance
401(k) retirement plan
Flexible spending & health savings account
Paid holidays
Paid time off
Other company benefits

Visa Sponsorship

Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

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2mo ago

Analytics Data Engineer (BI/Fabric)

Lifewave Inc Draper, UT

Draper, UT

2mo ago Closed

Full time Analytics Azure Data Factory Azure Platform

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

The Analytics Data Engineer (BI/Fabric) will own the technical evolution of Lifewave Inc's global analytics environment and administer the Microsoft Fabric ecosystem, building data objects within Fabric to empower BI Analysts while defining data health and governance standards. You will report to the Global Senior Manager of Business Intelligence.

Responsibilities

Manage data warehouses and lakehouses in MS Fabric.
Develop data pipelines using Data Factory objects and PySpark in MS Fabric.
Administrate Fabric workspace access and connections.
Design and implement automated data freshness and monitoring for pipeline failures and data latency.
Write enduring and adjustable SQL while navigating a complex database.
Work with a variety of partners such as Sales, Marketing, Events, Recognition, etc.
Assist in production and maintenance of a flexible library of Semantic Models ready for visualization and analysis.
Assist in defining and enforcing data naming conventions and workspace folder structures to ensure a scalable Global BI self-service environment.
Support defining, documenting, and enforcing a business ready data dictionary.
Prepare the environment for future scaling to support complex transformations and AI readiness.
Managing CI/CD processes in a Fabric environment via GitHub integration.

Requirements

Bachelor's Degree in related field or equivalent/higher.
2-4 years of experience in data engineering, analytics, or comparable fields.
Mastery of T-SQL for warehouse management and complex data modeling (DDL and DML required, DQL preferred).
Functional knowledge of DAX for Semantic Modeling.
Experience connecting to and extracting data from REST/SOAP APIs via Data Factory objects and/or PySpark.
Functional knowledge of PySpark/Python.
Familiarity with the Fabric Ecosystem, specifically an understanding of Lakehouses, Data Warehouses, and Semantic Models.
General understanding of Star Schema design in support of BI reporting.
Knowledgeable with Power Query / Dataflows / Data Pipelines.
Practiced attention to detail, critical thinking, and problem solving.
Excellent written, verbal, and communication skills and ability to work cross-functionally in a team environment.
Comfort with adapting and adjusting to multiple demands, shifting priorities, ambiguity, and rapid change.

Technologies

Microsoft Fabric
Data Factory
PySpark
SQL (T-SQL)
DAX
Python
GitHub
Power Query
Dataflows
Data Pipelines
REST/SOAP APIs
Databricks SQL/Python

Supervisory Responsibilities

This position has no supervisory responsibilities for this role.

Work Environment & Physical Demands

LifeWave will operate as an in-office organization, and all employees are required to work onsite in alignment with corporate policy. While performing the duties of this job, the employee is regularly required to work at a computer workstation and be mobile within the office. Occasional movement of up to 25 pounds may be required.

LifeWave is committed to creating an inclusive workplace that values diversity and promotes equal opportunities for all. We embrace the principles of the Americans with Disabilities Act (ADA) and strive to provide reasonable accommodations to qualified individuals with disabilities.

In our pursuit of building a diverse and talented team, we encourage candidates of all abilities to apply for positions at LifeWave. If you require accommodation during the application or interview process, please inform our HR department, and we will work with you to ensure your needs are met.

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Engineer Jobs in Draper, UT

AI Engineer- Enterprise Solutions

Sr. Staff AI Security Engineer

Analytics Data Engineer (BI/Fabric)

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