Artificial Intelligence & Automation Engineer

Sargent & Lundy is a leading consulting engineering firm specializing in the power and energy sectors. Since 1891, we have provided comprehensive engineering, design, and consulting services for both traditional and renewable power generation, grid modernization, nuclear power, and beyond. Our mission is to help clients achieve their energy goals effectively by leveraging advanced technologies and adopting sustainable practices.

• Partner directly with business groups to identify pain points, inefficiencies, and opportunities for AI and automation solutions.
• Conduct structured feasibility assessments for proposed initiatives, evaluating technical viability, data readiness, integration complexity, expected ROI, and organizational readiness.
• Translate business problems into clearly defined technical requirements, solution approaches, and delivery plans.
• Present findings, recommendations, and solution options to both technical and non-technical stakeholders, ensuring alignment on scope, value, and approach.
• Contribute to the intake and prioritization process for AI/automation demand across business groups, helping shape the portfolio backlog.

• Research, design, and develop AI-driven solutions and software applications for internal and client-facing needs.
• Develop and deploy natural language processing (NLP), computer vision, generative AI, and other AI capabilities as applicable to business use cases.
• Implement retrieval-augmented generation (RAG) patterns, prompt engineering strategies, and AI agent architectures to deliver intelligent automation solutions.
• Ensure robust, high-quality data for model training and software features by building validation checks and monitoring systems.
• Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives.

• Design and implement automation solutions using RPA tools, scripting, workflow platforms, and low-code/no-code technologies (e.g., Power Automate, UiPath, or similar).
• Identify and automate repetitive business processes, boosting productivity and reliability across teams.
• Develop integration solutions that connect enterprise systems, APIs, and data sources to enable end-to-end automated workflows.
• Monitor, maintain, and optimize deployed automations to ensure sustained performance and reliability.

• Develop production‑grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability.
• Use rigorous software development practices—clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards.
• Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery.
• Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance.
• Lead or participate in post‑mortems to identify root causes of incidents and implement lessons learned in future releases.

• Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by automation.
• Collaborate with multidisciplinary teams— including data scientists, data engineers, business analysts, and subject matter experts to deliver comprehensive solutions.
• Act as a bridge between technical and non‑technical teams, helping stakeholders understand how software and AI solutions deliver business value.
• Participate actively in agile sprint planning, collaborating across functions to align releases with business needs.

• Support responsible AI and software principles, including transparency, data privacy, and bias mitigation.
• Adhere to S&L’s AI governance frameworks, ensuring all solutions comply with security, data privacy, and regulatory requirements.
• Contribute to thorough documentation of system design, testing,…