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Sargent & Lundy · 2 weeks ago

AI/Automation Solution Lead

Chicago, IL

Full-time

Hybrid

Senior Level

$100K/yr - $144K/yr

7+ years exp

Sargent & Lundy is a leading consulting engineering firm specializing in the power and energy sectors. They are seeking an AI/Automation Solution Leader to design comprehensive automation strategies, mentor cross-functional teams, and deliver best-in-class digital products for the energy sector.

ElectronicsEnergyInformation Technology

Growth Opportunities

No H1B

Responsibilities

Define Automation & AI Roadmaps: Shape the multi-year strategic plan for AI and automation across Sargent & Lundy, including prioritizing initiatives that align with business objectives, operational efficiency, and client value

Translate Business Needs into Technical Solutions: Partner with business leaders (Finance, HR, Procurement, Engineering) to articulate business challenges and convert these into actionable technical projects

KPI & ROI Definition: Establish clear metrics to measure the impact of automation; create robust frameworks for evaluating success (e.g., increased throughput, cost savings, reduction in manual errors)

End-to-End Solution Development: Oversee the full lifecycle of AI and automation solutions, from feasibility studies and prototyping to scalable system deployment and maintenance

Integration of AI Platforms: Coordinate the adoption and integration of third-party and internal/external AI platforms within S&L’s ecosystem, ensuring compatibility and optimal utilization

Leading a Multifaceted Team: Supervise a team consisting of AI/ML Engineers, Data Scientists, Data Engineers, RPA Specialists, and Full Stack Software Developers to deliver comprehensive AI/automation solutions

AI Governance Frameworks: Design, implement, and maintain governance structures that control and monitor the use of AI/automation tooling, with particular attention to security, data privacy, and regulatory compliance

Responsible AI Practices: Champion ethical AI initiatives—ensuring transparency, explainability, and fairness in automated decision-making

Documentation & Traceability: Mandate and oversee thorough documentation of system design, testing, deployment, and ongoing auditing to ensure traceability

Cross-Disciplinary Team Leadership: Build and mentor agile teams composed of data scientists, engineers, process owners, and IT specialists

AI Literacy & Upskilling Programs: Develop and deliver training modules to boost AI/automation understanding across Sargent & Lundy, tailoring content for technical and non-technical audiences

Change Advocacy: Guide business units through automation adoption, helping manage cultural shifts and resistance

Monitor Industry Trends: Stay up to date with advancements in AI/ML, RPA, cloud computing, and relevant regulatory changes affecting the power and energy sectors

Piloting & Experimentation: Identify areas for innovation pilots (e.g., proof-of-concept projects for AI-driven knowledge management systems)

Iterative Enhancement: Collect feedback, analyze results, and iterate on AI/automation systems to ensure maximum value

Qualification

AI/ML frameworksRPA technologiesCloud platformsSoftware developmentData engineeringData governanceProject managementStakeholder engagementMentoring teamsCommunication skillsContinuous learning

Required

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