AI Solutions Manager

Bechtel Corporation · Houston, TX · Yesterday

Information TechnologyPart-time

Requisition ID: 299145 | Relocation Authorized: National – Family | Telework Type: Part‑Time | Work Location: Houston, TX

Job Summary

An experienced, collaborative and forward‑thinking leader to develop and implement relevant artificial intelligence across our global business units (GBUs) with a focus on building safer, smarter, faster, and more sustainably. The AI Solutions Manager will serve as a strategic advisor to business line, functional, and project leadership and work closely with the GBU Innovation Manager to identify, develop, and implement solutions that improve safety, increase productivity, and inform efficient decision‑making across the business. The remit is to underpin and lead our nascent efforts to integrate AI into the foundation of how we design, build, and deliver mega‑projects in the energy market.

Major Responsibilities

Develop and manage a comprehensive AI strategy aligned with business goals.
Demonstrate extensive experience in various AI technologies and platforms.
Develop AI and data‑science solutions for production use cases (hands‑on experience with Databricks, proficient in Python and SQL).
Advise corporate engineering, functional, and project leadership on where and how AI can deliver cross‑functional value (e.g., engineering, construction, commissioning & start‑up, project controls, supply chain, operations).
Collaborate with the GBU Innovation Manager, internal subject‑matter experts, data scientists, engineers, and IT teams to architect and deliver end‑to‑end AI solutions.
Build, prioritize, and manage a portfolio of high‑impact AI initiatives.
Promote execution‑driven ideation, technical development, and launch of innovative AI/ML solutions, managing the full product lifecycle from planning and development to deployment and updates.
Oversee proof‑of‑concept pilots and guide them through testing, deployment, and scaling phases, coordinating with internal resources and third parties as required.
Ensure AI solutions are explainable, responsible, secure, and aligned with ethics, governance, and compliance standards.
Partner across functional and project teams to embed AI capabilities into core business processes and digital workflows.
Identify and resolve organizational barriers to AI adoption, including change management, data readiness, and upskilling.
Promote AI use and integration, building awareness and educating teams on tools such as Microsoft Copilot, generative AI platforms, and predictive analytics.

Education and Experience Requirements

Bachelor’s degree (or international equivalent) in a related field and 15–20 years of relevant experience in AI, data science, or digital transformation roles that combine technical delivery with business impact, or 15+ years of industry work experience.

Required Knowledge and Skills

Demonstrated ability to translate business needs into technical AI solutions.
Effective communicator, able to convey complex concepts to non‑technical audiences.
Solid technical background and/or hands‑on knowledge of AI/ML technologies, including machine‑learning frameworks, natural language processing, enterprise data architecture, computer vision, and LLM‑based tools.
Strong knowledge of prompt‑engineering concepts.
Advanced‑level Azure Cloud and Azure AI stack experience.
Experience with large language models (LLMs) and generative AI.
Understanding of data privacy, security, and AI ethics in enterprise applications.
Ability to stay updated with the latest trends and advancements in AI.
Strong organizational skills, attention to detail, and multitasking ability.
Strong problem‑solving skills.
Excellent communication and collaboration skills.

Total Rewards / Benefits