The Automation Engineer is a hybrid role on the Development Operations team that sits at the intersection of low-code automation and workflows, business process analysis, and cybersecurity governance. The Engineer will partner with developers, Information Services staff, attorneys, paralegals, and business staff across the firm to identify manual, repetitive, or document-heavy workflows that are strong candidates for automation, document those processes, and then build solutions using current best practices for automation.
This role serves as a key liaison between the Security Operations and Cloud Operations teams throughout the development lifecycle, ensuring that all automation initiatives, agent deployments, and Copilot integrations meet established security and access requirements before and during production. The position will engage directly with security and cloud ops stakeholders to validate that data classification, access control, and information security policies are satisfied at each stage of development.
The role also encompasses traditional operations support - resolving tickets, troubleshooting issues for development staff, and improving documentation and processes to keep project delivery on track. Some scripting for automation and reporting will be required.
Process Discovery & Documentation
Partner with attorneys, paralegals, and administrative staff to understand manual and repetitive workflows that are candidates for automation.
Produce clear, well-structured process documentation including written narratives, step-by-step procedures, and visual flow diagrams.
Translate documented business processes into actionable automation requirements that development and AI engineering staff can build against.
Act as an ongoing liaison between non-technical business users and the Development Operations team — gathering feedback, clarifying requirements, and organizing change requests.
Automation Builds
Design and build agents that surface firm knowledge, answer common questions, and route requests for staff and clients.
Integrate Microsoft 365 Copilot capabilities and prompt-driven actions into existing firm workflows under the guidance of senior engineers.
Test, iterate, and document each solution; provide user-facing training materials and quick-reference guides.
Security, Governance & Compliance
Verify that AI solutions touching client or matter data respect attorney-client privilege boundaries and existing information barriers.
Help maintain an inventory of AI agents, flows, and Copilot extensions, including their data sources, owners, and risk classification.
Review proposed automations for cyber risk — including data exposure, over-permissioned connectors, prompt-injection exposure, and uncontrolled data egress — and escalate concerns to senior security staff.
Support audit and compliance activities (SOC 2, client security questionnaires, internal reviews) by producing evidence and documentation for AI and automation systems.
Operational Support
Triage and resolve tickets related to automation workflows and processes.
Monitor scheduled flows and agents for failures; perform root-cause analysis and remediation.
Contribute to internal documentation, runbooks, and the firm's AI usage guidelines.
Support the Development Operations project delivery deadlines for firm wide efforts.
Required Competencies
Exposure to at least one scripting or programming language (Python preferred; PowerShell, JavaScript, or similar acceptable).
Foundational understanding of cybersecurity principles, including confidentiality, integrity, availability, access control, and basic risk analysis.
Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical legal and business staff.
Demonstrated ability to gather requirements, document processes, and produce clear technical writing.
Basic working knowledge of SQL and relational data concepts.
Comfort with logical thinking, troubleshooting, and structured problem solving.
Willingness to learn low-code AI tooling, prompt design, and Power Platform development.
Qualifications
Bachelor's degree in Information Sciences and Technology, Computer Science, Management Information Systems, Cybersecurity, or a related discipline.
1–2 years of professional or internship experience in IT, information systems, cybersecurity, or business analysis.
Strong interest in artificial intelligence, automation, and the intersection of technology and business process.
Authorization to work in the United States on a full-time basis.
