artificial intelligence specialist

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for a passionate and knowledgeable AI Specialist to join our team. In this role, you will be responsible for researching, developing, and implementing AI solutions that address specific business challenges. You will work closely with other departments and stakeholders to identify areas where AI can enhance operations and improve decision-making processes.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
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 Work closely with clients to comprehend their business challenges and discover opportunities for AI-enhanced solutions
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 Convert client requirements into technical problem statements and implementable project strategies
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 Clearly articulate intricate AI and data insights in a manner that is understandable to non-technical stakeholders
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 Transform analytical results into valuable business insights and strategic recommendations
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 Create engaging visualizations, reports, and presentations to aid client decision-making
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 Keep abreast of new AI technologies (such as GenAI, large language models, and computer vision) and evaluate their relevance to business needs
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 Engage in workshops, training sessions, and client demonstrations to showcase AI capabilities
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 Capable of designing AI use cases that align with the business needs of clients
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 Collaborate with clients to tackle complex business challenges and create AI-driven solutions that yield measurable returns on investment
 
 
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 </ul>
 
 Requirements
 
 
 
 <ul>
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 Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines
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 Proficient in analyzing data and recognizing patterns
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 Experience in predictive modeling and analytics driven by artificial intelligence
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 Strong critical thinking skills with a hypothesis-based methodology
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 Effective communication skills and ability to foster relationships
 
 
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 </ul>
 
 Benefits
 
 
 
 Why Join Us:
 
 
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 Competitive salary + performance-based incentives.
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 Be part of a fast-growing AI consulting leader in the MENA region.
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 Work on high-impact projects with governments and top enterprises.
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 Career growth opportunities in AI and digital transformation leadership.
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 Collaborative, innovative, and entrepreneurial culture
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 </ul>
</div>

AI Specialist

Aspire Tech IT Solution

Job Overview We are seeking a dynamic and innovative AI/ML Specialist to drive the development and deployment of cutting-edge artificial intelligence and machine learning solutions. In this role, you will harness the power of advanced data analytics, natural language processing, and big data technologies to solve complex problems and generate actionable insights. Your expertise will enable our organization to stay at the forefront of technological innovation, delivering impactful AI-driven products and services that enhance user experiences and operational efficiency.Duties<ul><li>Design, develop, and optimize machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools to address diverse business challenges.</li><li>Implement unsupervised learning techniques for data mining, clustering, anomaly detection, and pattern recognition across large datasets.</li><li>Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless model deployment and real-time analytics.</li><li>Conduct data extraction, transformation (ETL), and database design activities utilizing SQL, Talend, SAS, and Hadoop ecosystems to prepare data for analysis.</li><li>Develop scalable algorithms leveraging big data platforms like Hadoop and Spark to process vast amounts of structured and unstructured data efficiently.</li><li>Apply natural language processing (NLP) techniques for text analysis, sentiment analysis, chatbots, or voice recognition applications.</li><li>Utilize cloud services such as AWS for model training, deployment, and management while ensuring security and compliance standards are met.</li><li>Engage in continuous learning of emerging AI/ML methodologies including quantum engineering concepts to innovate future solutions.</li><li>Create visualizations with tools like Looker to communicate insights effectively to stakeholders.</li><li>Write clean, efficient code in Python, Java, C, Bash (Unix shell), or VBA to support automation workflows and analytical processes.</li></ul>Experience<ul><li>Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or similar platforms.</li><li>Strong background in Python programming for data analysis and model development; familiarity with R or SAS is a plus.</li><li>Hands-on experience with big data technologies including Hadoop ecosystem components (HDFS, MapReduce) and Spark for large-scale data processing.</li><li>Knowledge of SQL databases along with experience designing database schemas tailored for analytics workloads.</li><li>Demonstrated expertise in natural language processing (NLP), text mining, or voice recognition projects.</li><li>Familiarity with cloud computing environments like AWS for scalable model training and deployment tasks.</li><li>Experience working with ETL tools such as Talend or custom scripting in Bash for data pipeline automation.</li><li>Ability to translate complex technical concepts into clear insights through dashboards or reports using Looker or similar visualization tools.</li><li>Strong understanding of AI principles including model training techniques, supervised/unsupervised learning methods, and model evaluation metrics.</li><li>Knowledge of quantum engineering applications in AI is advantageous but not mandatory. Join us if you&rsquo;re passionate about pushing the boundaries of artificial intelligence! Bring your expertise in machine learning frameworks, big data analytics, natural language processing, and cloud technologies to shape innovative solutions that make a real difference across industries!</li></ul>Pay: From $130,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Referral program</li><li>Retirement plan</li></ul>Work Location: In person

AI/ML

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 AI Training Specialist (Data Annotation)
 
 
 
 Location:
 
 San Diego, CA (Remote, United States)
 
 
 
 Job Description:
 
 Play a key role in helping train and improve artificial intelligence (AI) systems by labeling and categorizing data (text, images, short videos), reviewing data for accuracy and consistency, identifying errors, and meeting productivity goals. Maintain confidentiality and adhere to data security standards.
 
 
 
 Requirements
 
 
 
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 Excellent attention to detail and strong organizational skills.
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 Reliable Internet connection and computer.
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 Ability to focus for extended periods and follow detailed written instructions.
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 Strong written communication skills in English.
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 Must be located within the United States.
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 Previous data annotation, labeling, or transcription experience is a plus, but not required.
 
 
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 </ul>
 
 Benefits
 
 
 
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 Fully remote (work from anywhere within the United States).
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 Full-time and part-time available.
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 Competitive hourly pay from $20/hr.
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 Training provided.
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 Gain hands-on experience supporting real-world AI training projects.
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 Be part of a growing remote team.
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 </ul>
</div>

AI Training Specialist (Data Annotation)

Trico Electric Cooperative, Inc.

<div>Join Our Team as an Artificial Intelligence (AI) Intern at Trico Electric Cooperative!

Posting Period: Monday April 20-May 1

Hourly Wage or Salary: $20.00 per hour

Cooperative Expectations

We are committed to fostering a culture of excellence, where employees are empowered to grow, collaborate, and contribute to meaningful work. Just as we strive to provide 5-star customer service to our members, we also hold ourselves to the highest standards in how we work and support one another.

What You Will Do:

The AI Intern will support Trico Electric&rsquo;s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, AI agent development, data preparation, application integration, and documentation while adhering to Trico Electric&rsquo;s policies and governance standards.

What You Bring to Trico:
<ul>
<li>Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.</li>
<li>Familiarity with machine learning concepts, large language models, and generative AI.</li>
<li>Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.</li>
<li>Basic programming skills (Python preferred) and understanding of data privacy principles.</li>
<li>Basic understanding of how AI tools are applied in business or operational settings, such as data analysis, automation, or decision support.</li>
</ul>
For additional details about the job please click -AI Intern</div>

Artificial Intelligence (AI) Intern

Stellantis

<div>The Investment Analyst, AI Specialist role sits within the Asset Management Group (AMG) in the North America Treasury organization at CTC in Auburn Hills. AMG oversees the company's retirement assets&mdash;including defined benefit pension plans and 401(k) savings plans&mdash;totaling approximately $40 billion globally across public equities, fixed income, hedge funds, and private markets (e.g., private equity, venture capital, private credit, and real assets). This position supports both the Investments and Operations teams by advancing AI initiatives and contributing to day-to-day asset management activities. Additionally, this opportunity will allow the candidate to acquire essential skills pertaining to investing in financial markets.

Responsibilities include but are not limited to:
<ul>
<li>Lead or support AI (Artificial Intelligence) initiatives identified by AMG leadership, spanning both investment and operational workflows.</li>
<li>Monitor evolving AI capabilities and market trends, sharing insights with the AMG team and proposing practical use cases.</li>
<li>Partner with Stellantis IT and/or Security to evaluate, enable, and govern the use of new AI tools.</li>
<li>Assist with data management &amp; pipelines: sourcing data (custodians / managers / internal), cleaning, maintaining datasets, and basic data QA controls.</li>
<li>Support the Investments team as needed, including qualitative and quantitative investment manager research and processing manager communications (e.g., capital calls and legal document amendments).</li>
<li>Assist the Operations team as needed, including preparing daily/monthly/quarterly reports, reconciling investment performance, and supporting investment committee meeting preparation.</li>
<li>Contribute to team discussions on investment manager recommendations and overall portfolio positioning.</li>
<li>Perform additional analyses and special projects, as assigned by AMG management.</li>
</ul>Requirements:
Basic Qualifications
<ul>
<li>Bachelor's degree in Finance, Accounting, Economics, Engineering, or a related field.</li>
<li>Strong technical and analytical skills, with a demonstrated drive to learn and apply AI.</li>
<li>Interest in financial markets and enthusiasm for conducting investment research.</li></ul></div>

Investment Analyst, AI Specialist

Link Datacenter

<div>
 
 
 Job Title: Artificial Intelligence Consultant
 
 
 
 
 Role Overview
 
 
 
 The Artificial Intelligence Consultant is responsible for developing and deploying Conversational AI solutions (chatbots and voicebots), using LLMs, Agentic AI, and NLU models. This role executes technical implementations and integrations across environments, ensuring compliance with standards and best practices.
 
 
 It combines expertise in prompt engineering, knowledge base structuring, and system integration to enable end-to-end automation and continuous improvement. The Artificial Intelligence Consultant also ensures safe and reliable model behavior, performs fine-tuning, proactive monitoring, and performance optimization, and oversees STT/TTS configuration and maintenance to guarantee high-quality voice and seamless telephony integration.
 
 
 
 Key Responsibilities
 
 
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 Voicebot and Chatbot technical implementation and deployment.
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 Responsible for system integrations for seamless automation across platforms.
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 Ensure safe and reliable AI models by implementing safeguards and governance measures.
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 Engineer and refine prompts to guide LLM behavior and ensure precise, context-aware, and business-aligned responses.
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 Structure knowledge bases technically to ensure accurate and context-aware responses.
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 Configure and maintain STT/TTS systems, ensuring high-quality voice performance.
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 Participate in and support telephony integration for voicebots.
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 Conduct technical documentation analysis and feasibility checks:
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 Assess technical feasibility and architecture constraints
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 Evaluate integrations, APIs, data sources, and platform capabilities
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 Define initial system architecture and dependencies
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 Apply LLM and Agentic AI best practices for hybrid bots (NLU + LLM).
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 Handle development required to support user experience and new integrations.
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 Document architectures, configurations, and deployment processes.
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 Detect and mitigate technical risks and issues.
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 Collaborate with cross-functional teams including Conversational Designers, Delivery Managers, Data Analysts, and business stakeholders.
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 </ul>
 
 
 Requirements (Must Have)
 
 
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 Knowledge of Conversational AI, including LLMs and NLU.
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 Degree or background in Engineering or Software Development.
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 Experience with Conversational AI platforms and deploying AI bots.
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 Experience with speech technologies (STT &amp; TTS).
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 Experience in deployment and system integration (APIs, platforms).
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 Experience in prompt engineering.
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 Ability to document architectures, configurations, and deployment procedures clearly.
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 Fluent in written and spoken English.
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 </ul>
 
 
 Technical Stack &amp; Tools
 
 
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 Programming: Python, JavaScript, TypeScript
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 Data Formats: JSON, YAML
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 Databases: SQL / NoSQL
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 Integrations: REST APIs, Webhooks, OAuth Authentication
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 </ul>
 
 
</div>

Artificial Intelligence Consultant

Glenn O. Hawbaker, Inc.

<div>
 
 Job Summary
 
 
 
 Position Overview
 
 
 GOH is seeking a construction-focused AI Implementation Leader to drive practical integration of artificial intelligence across heavy civil construction, aggregates, asphalt, and trucking operations.
 
 
 At GOH, AI includes practical applications such as workflow automation, predictive analytics, optimization of dispatch and production, estimating improvements, safety enhancements, and data-driven decision support.
 
 
 This role may be filled at the Specialist, Project Manager, or Director level, depending on the candidate&rsquo;s construction experience, AI implementation background, and leadership capability.
 
 
 The successful candidate will identify high-impact AI use cases, implement solutions that improve operational efficiency and safety, and deliver measurable financial results.
 
 
 Core Responsibilities (All Levels)
 
 
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 Evaluate field operations, plant production, dispatch logistics, job costing, estimating, safety workflows, and administrative processes.
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 Identify AI use cases that improve equipment utilization, dispatch efficiency, estimating accuracy, safety performance, and production yield.
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 Lead or support pilot programs and scale successful solutions.
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 Integrate AI tools into existing systems (ERP, dispatch platforms, telematics, plant systems, estimating software).
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 Develop KPIs tied to cost savings, productivity, and margin expansion.
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 Collaborate with operations, safety, finance, IT, and executive leadership.
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 Support training and adoption of AI tools across divisions.
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 Ensure responsible use of AI, including data governance and cybersecurity alignment.
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 Translate technical solutions into practical applications that deliver measurable business outcomes.
 
 
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 </ul>
 Education / Experience
 
 
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 Significant construction operational experience, particularly in heavy civil construction, aggregates, asphalt production, trucking, or related materials operations.
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 Demonstrated experience implementing AI, automation, advanced analytics, or other technology solutions that improve operational efficiency, safety, or business performance.
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 Preferred: Bachelor&rsquo;s degree in Engineering, Construction Management, Computer Science, Data Science, Information Systems, or a related field.
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 This role may be filled at the Specialist, Project Manager, or Director level depending on the candidate&rsquo;s construction experience, AI implementation background, education, and proven leadership capability.
 
 
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 </ul>
 
 Position Level Determination Based On Experience
 
 
 
 AI Implementation Specialist
 
 
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 Tactical, hands-on role.
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 Supports pilots, integrations, analytics, and reporting.
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 Limited enterprise-wide strategic ownership.
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 Typically 3-7 years relevant experience.
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 Strong technical background in data science, machine learning, or AI-related fields preferred.
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 Ability to quickly learn construction operations and apply technical solutions to real-world business challenges.
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 Construction experience preferred but not required at senior leadership depth.
 
 
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 AI Implementation Project Manager
 
 
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 Leads defined AI initiatives across departments.
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 Manages cross-functional coordination and ROI tracking.
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 Moderate strategic input.
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 Typically 5-10 years relevant experience.
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 Experience leading data, analytics, or technology-driven initiatives with demonstrated business impact.
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 Ability to understand operational context and ensure solutions align with business needs.
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 Strong construction operational familiarity preferred.
 
 
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 </ul>
 Director of AI Implementation
 
 
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 Sets enterprise AI strategy and roadmap.
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 Owns governance, prioritization, and executive reporting.
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 Leads company-wide adoption and transformation.
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 Typically 8-15+ years construction leadership and technology implementation experience.
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 Strong operational credibility required (heavy civil construction or similarly complex operational environments preferred).
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 Proven experience advancing technology capabilities and driving organizational transformation.
 
 
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 </ul>
 Knowledge Of
 
 
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 Heavy civil construction operations and workflows, including project delivery, materials production, equipment utilization, dispatch, and job costing.
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 Practical applications of artificial intelligence, automation, and data analytics in business operations.
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 Enterprise business systems commonly used in construction environments (ERP, project management, dispatch, telematics, or similar platforms).
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 Project management principles and technology implementation practices.
 
 
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 </ul>
 Ability To
 
 
 <ul>
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 Identify opportunities where AI or automation can improve operational efficiency, safety, and business performance.
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 Translate technical concepts into practical solutions for construction operations personnel.
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 Lead or support complex technology initiatives involving multiple departments and external partners.
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 Communicate findings, project outcomes, and recommendations clearly to operational teams and leadership.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Experience working with cross-functional teams across operations, technology, and leadership.
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 Strong problem-solving and analytical skills.
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 Effective communication skills for both technical and non-technical audiences.
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 <li>
 Proven leadership capability appropriate to the level of the role (Specialist, Project Manager, or Director).
 
 
 </li>
 </ul>
 Physical Requirements
 
 
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 Occasionally (0-33%) required to travel to job sites, plants, or operational locations, including working in field environments with exposure to dust, noise, inclement weather conditions, and extreme temperatures.
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 Occasionally (0-33%) required to walk and work on uneven terrain at construction sites or operational locations.
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 Occasionally (0-33%) required to wear personal protective equipment (PPE) including hard hat, safety vest, safety glasses, and other protective gear as required.
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 Occasionally (0-33%) required to sit in a vehicle for sustained periods while traveling to various locations.
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 Occasionally (0-33%) required to lift and/or transport items weighing up to 25 pounds.
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 Frequently (34-66%) required to bend, stoop, or kneel while retrieving materials or equipment.
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 Constantly (67-100%) required to sit for sustained periods of time while performing computer-based work.
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 Constantly (67-100%) required to use hands and fingers for typing, data entry, and operating computer systems and office equipment.
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 Constantly (67-100%) required to see and read computer screens and standard printed materials.
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 Constantly (67-100%) required to communicate verbally and hear conversations clearly in person, by phone, and in virtual meetings.
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 Constantly (67-100%) required to operate standard office equipment such as computers, phones, and related technology.
 </li>
 </ul>
</div>

AI Implementation Leader

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