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About the Role

This role builds and deploys smart, data-driven tools that enhance efficiency, quality, safety, and decision-making across aggregate and asphalt production operations. It uses artificial intelligence, machine learning, and advanced analytics to improve production systems, optimize workflows, and support overall operational excellence.

Responsibilities

Design and maintain AI-enabled applications to enhance operational efficiency and sales performance across aggregate and asphalt plant operations
Develop and refine machine learning models to optimize automation settings, improve production efficiency, increase plant uptime, strengthen material quality, and reduce operational costs
Analyze sales, pricing, and GIS data to optimize product pricing strategies that support revenue growth and market competitiveness
Integrate AI capabilities with existing plant systems, sensors, databases, and operational software to ensure seamless information flow and improved decision-making
Enhance sales efficiency by deploying AI tools and bots that automate the review of technical specifications and other sales-related documents
Modernize legacy software systems by implementing automation, predictive analytics, and decision-support tools that improve reliability and scalability
Build and maintain data pipelines, APIs, and services that deliver real-time and near-real-time insights for operational and business decision support
Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence that drives performance improvements
Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions that drive organizational value
Ensure all AI solutions comply with cybersecurity standards, company policies, and responsible AI practices to safeguard data and maintain system integrity
Document systems, models, and technical processes to support long-term system sustainability, knowledge transfer, and user adoption
Continuously evaluate emerging AI and software technologies to identify opportunities for innovation and operational improvement
May perform additional duties as needed from time to time to support evolving business and technology needs

Requirements

Minimum of five (5) years of professional experience delivering software, analytics, or automation solutions within operational or industrial environments
Demonstrated success deploying production-ready applications used in field, plant, or equipment-intensive operations
Experience working with operational data systems, plant or equipment data flows, and modern database or application architectures supporting industrial processes
Background in aggregates, asphalt, construction materials, mining, manufacturing, or similar industrial operations, with familiarity of field and plant operational constraints
Valid driver’s license and ability to drive for extended periods of time
Overnight travel required
Comply, understand, and support company safety initiatives to ensure a safe work environment
Ability and willingness to abide by company code of conduct daily

Skills

Ability to present complex technical or analytical concepts clearly and concisely to non-technical stakeholders
Strong cross-functional facilitation skills, enabling alignment between operations, engineering, sales, and maintenance teams
Proficiency with plant control systems (e.g., batching, weighing, or monitoring systems) at an intermediate level, including the ability to interpret production data and identify equipment or process anomalies
Ability to analyze sales and production data using tools such as Excel, SQL, or BI platforms to develop clear operational insights
Applied artificial intelligence and machine learning at a practitioner level, including developing or utilizing supervised/unsupervised models to improve operational efficiency
Industrial software development and systems integration at an intermediate–advanced level, including scripting, API use, and connecting OT/IT data flows
Strong data-driven problem-solving ability, including defining problems, selecting appropriate analytical tools, evaluating alternatives, and recommending measurable improvements
Operational and sales mindset with a demonstrated ability to incorporate safety, quality, and efficiency considerations into routine decision-making
Collaborative, partnership-oriented approach, with demonstrated ability to build effective working relationships across technical and operational teams

Experience Level

5 years of professional experience

Education Level

Bachelor’s degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Mathematics, or a related quantitative field
Master of Science degree with a focus in Computer Science or a closely related discipline is strongly preferred

Salary/Compensations

$100,791.00 - $166,683.00

Benefits

Paid holidays
Sick leave
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Flexible spending plans
Musculoskeletal health programs
Mental wellness programs
Two PPO medical plans through Anthem BlueCross
100% of the premium paid by Granite for eligible employees and dependents for a popular medical plan
Health Savings Account (HSA) option
Flexible Spending Account (FSA) option
100% match on the first 6% of eligible compensation deferred into 401(k) plans, which vests immediately

About the Company

Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers.

Equal Opportunity

Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic.
We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.