Sargent & Lundy is looking for an AI/Automation Solution Lead to spearhead our digital transformation initiatives. This role is pivotal in designing comprehensive automation strategies, mentoring cross-functional teams, and delivering best-in-class digital products that impact the energy sector.

What You'll Do

Define a multi-year strategic plan for AI and automation across the company, prioritizing initiatives aligned with business objectives.
Translate business needs from leaders in Finance, HR, Procurement, and Engineering into actionable technical projects.
Establish KPIs and ROI frameworks to measure automation impact (e.g., throughput, cost savings, error reduction).
Oversee the full lifecycle of AI and automation solutions from feasibility studies to scalable deployment.
Coordinate the adoption and integration of third-party and internal AI platforms within the company's ecosystem.
Supervise a team of AI/ML Engineers, Data Scientists, Data Engineers, RPA Specialists, and Full Stack Software Developers.
Design, implement, and maintain AI governance structures focusing on security, data privacy, and regulatory compliance.
Champion ethical AI initiatives ensuring transparency, explainability, and fairness in automated decision-making.
Mandate thorough documentation of system design, testing, deployment, and auditing for traceability.
Build and mentor agile, cross-disciplinary teams composed of data scientists, engineers, process owners, and IT specialists.
Develop and deliver AI literacy and upskilling training modules for technical and non-technical audiences.
Guide business units through automation adoption, managing cultural shifts and resistance.
Monitor industry trends in AI/ML, RPA, cloud computing, and regulatory changes affecting the power and energy sectors.
Identify areas for innovation pilots and proof-of-concept projects.
Collect feedback, analyze results, and iterate on AI/automation systems to ensure maximum value.

What We're Looking For

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
7+ years of professional experience delivering AI/ML and automation solutions at scale.
Demonstrated expertise with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), RPA technologies, and cloud platforms (AWS, Azure, Google Cloud).
Experience architecting and deploying production-grade automation systems in operational or engineering environments.
Strong proficiency in software development (Python preferred), data engineering, and project management methods (Agile, Scrum, Kanban).
Track record of stakeholder engagement, translating business needs into technical solutions, and leading technical teams.
Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive/regulated industries.
Outstanding communication skills; proven ability to educate, influence and drive adoption across multidisciplinary teams.

Nice to Have

Experience in the nuclear power or energy sector is a distinct advantage.
Proven skills in opportunity discovery, demand management frameworks, and strategic intake processes.
Ability to work in fast-paced, multidisciplinary environments with high visibility and accountability.
Passion for continuous learning and advancing industry best practices in AI and automation.

Technical Stack

AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn
RPA technologies
Cloud Platforms: AWS, Azure, Google Cloud
Programming Language: Python

Team & Environment

You will lead a multidisciplinary AI/Automation taskforce. The team consists of AI/ML Engineers, Data Scientists, Data Engineers, RPA Specialists, and Full Stack Software Developers.