Orbital EngineeringOE

AI Solutions Manager

Orbital Engineering
United States only
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Working with our business partners to create, improve and sustain industry and infrastructure. Orbital Engineering has been driven by this core purpose for more than 50 years - energizing Orbital team members and helping our clients solve challenging and complex problems with innovative engineering, inspection, and construction solutions. Orbital team members are guided by the fundamental beliefs of building trusted relationships, personal accountability, innovation, and excellence in everything we do. Orbital is looking for others to join our team to continue activating our purpose and embrace our values.

Orbital Engineering is seeking an experienced AI Solutions Manager to lead our AI Engineering team and advance our artificial intelligence initiatives. As the AI Solutions Manager, you will be responsible for overseeing the development and implementation of advanced AI solutions. You will work closely with clients and internal stakeholders to understand business needs, design tailored AI solutions, and oversee the execution of these projects through the management of our AI Engineering Team. You will lead a team of AI engineers, data scientists, and software developers, managing these AI projects and act as product owner of deployed AI services. Your leadership will be critical in driving innovation, improving processes, and fostering a culture of excellence within the AI engineering team. This role requires combining technical expertise with strong project management and leadership skills to drive the successful deployment of AI initiatives within the organization. This position is fully remote within the United States.

Essential Duties and Responsibilities:

Position duties include, but are not limited to, the following:

  1. Project Management:
  • Lead and manage AI projects from conception to deployment.
  • Develop and manage project plans, timelines, budgets, and resource allocation.
  • Collaborate with cross-functional teams to identify and prioritize AI projects.
  • Product Ownership:
    • Take ownership of the AI services developed, ensuring they meet business requirements and customer needs.
  • Team Leadership:
    • Lead and manage a team of AI engineers, data scientists, and software developers.
    • Foster a collaborative and innovative team environment.
    • Mentor and provide professional development opportunities for team members.
  • Solution Design and Development:
    • Identify business problems that can be solved using AI technologies.
    • Oversee the design, development, and deployment of AI models and algorithms.
  • Strategy and Planning:
    • Develop and implement AI strategies aligned with organizational goals, including product development and sales.
    • Stay updated with the latest AI trends and technologies, assessing their market viability and potential for commercialization.
    • Evaluate and select appropriate AI tools and platforms.
  • Stakeholder Management:
    • Communicate project status, risks, and opportunities to stakeholders.
    • Collaborate with business units to understand their needs and requirements.
  • Performance Monitoring and Optimization:
    • Monitor the performance of AI models and solutions.
    • Optimize models for accuracy, efficiency, and scalability.
    • Ensure AI solutions comply with ethical guidelines and regulations.
  • Documentation and Reporting:
    • Maintain comprehensive documentation of AI solutions and processes.
    • Generate reports and presentations for stakeholders and executives.
  • Client Engagement:
    • Cultivate relationships with key clients and stakeholders.
    • Act as a liaison between the AI division and external partners to identify new business opportunities.
  • Sales Leadership:
    • Develop and execute a sales strategy for AI products.
    • Identify target markets, customer segments, and revenue goals.
    • Collaborate with the sales and marketing teams to create compelling value propositions and marketing materials for AI products.

    Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
    • Extensive experience in AI, machine learning, and data science.
    • Proven track record in managing AI projects and leading technical teams.
    • Strong strategic thinking and problem-solving skills.
    • Excellent communication and stakeholder management abilities.
    • Familiarity with AI tools and platforms.
    • Understanding of ethical considerations in AI development.
    • Experience in business development activities and managing client relationships.

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    About the job

    Apply before

    Aug 21, 2024

    Posted on

    Jun 22, 2024

    Job type

    Full Time

    Experience level

    Mid-level

    Location requirements

    Hiring timezones

    United States +/- 0 hours

    About Orbital Engineering

    Learn more about Orbital Engineering and their company culture.

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    Orbital Engineering

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