AI Engineer

About Legence
Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.

Location: Remote

Job Type: Full-Time

Salary: $75,000-$80,000 per year, depending on experience

We are seeking a talented Junior AI Engineer to join our dynamic data and AI team. This role is an excellent opportunity for a recent graduate to launch their career working with cutting-edge Microsoft technologies and building enterprise AI solutions.

Job Summary:

The Junior AI Engineer will be responsible for designing, implementing, and maintaining AI solutions and data pipelines within the Microsoft Fabric/Foundry ecosystem. This role requires a strong foundation in machine learning, data engineering, and cloud technologies. The ideal candidate will work closely with cross-functional teams to deliver AI-powered solutions that meet business requirements and drive organizational value.

Key Responsibilities:

1. AI Solution Development:

Develop and deploy machine learning models using Microsoft Data Science capabilities.
Build and maintain data pipelines.
Implement AI workflows and analytics solutions within the Microsoft platform.

2. Collaboration and Communication:

Work closely with data engineers, data scientists, business analysts, and stakeholders to understand AI requirements and deliver solutions.
Participate in team meetings, code reviews, and knowledge-sharing sessions.

3. Troubleshooting and Support:

Identify and resolve issues related to data pipelines, model performance, and integration challenges.
Provide ongoing support and maintenance for deployed AI solutions and models in production.
Provide technical support for AI solution inquiries from internal teams.4. Continuous Improvement:
Stay current with Microsoft Fabric updates, AI/ML trends, and best practices.
Contribute to documentation and propose improvements to existing AI workflows and processes.

Qualifications:

Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field (recent graduate).
Strong programming skills in Python, Java, JavaScript and SQL.
Foundational knowledge of machine learning algorithms and concepts.
Familiarity with Microsoft Azure cloud services and architecture.
Understanding of data engineering principles including ETL processes and data modeling.
Knowledge of software development best practices and version control (Git).
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

Hands-on experience with Microsoft Fabric, Power BI, or Azure Analytics through coursework, internships, or personal projects.
Knowledge of Apache Spark and distributed computing frameworks.
Familiarity with MLOps practices and CI/CD pipelines.
Experience with LLMs, generative AI, or Azure AI services.
Understanding data security and governance best practices.

Immigration sponsorship is unavailable for this position.
#LI-JS1 #LI-Onsite

Benefits Overview
401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting.
Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage.
Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage.
Time Off: Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
Expenses: Business travel and related expenses reimbursed per company policy.

Reasonable Accommodations
If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.

Employment Eligibility
Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.

Third-Party Recruiting Disclaimer
Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.

Pay Disclosure & Considerations
Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws.

Equal Employment Opportunity Employer
Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.
EEO is the Law