Cybersecurity GRC AI & Process Automation Engineer

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Cybersecurity GRC AI & Process Automation Engineer

• Location: Quincy, Massachusetts 02169
• Work model: On-site
• Posted 12 days ago
• Job ID: JPC - 210975

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Job Description

Cybersecurity GRC AI & Process Automation Engineer

Location: Hybrid onsite in Quincy, MA | Job Type: C2C | Contract: 3+ months (potential for extension/full-time)

About the Role

Join a leading banking institution as a Cybersecurity GRC AI & Process Automation Engineer. Be at the forefront of revolutionizing cybersecurity governance, risk, and compliance (GRC) by designing and implementing AI-driven and automated solutions. Lead the transformation of manual, fragmented processes into standardized, auditable, and efficient workflows. This is an exciting opportunity to drive impactful change, work with cross-functional teams, and grow your expertise in AI, process automation, and cybersecurity.

Responsibilities

• Drive automation initiatives across Cybersecurity GRC, focusing on Risk and Control Self-Assessment (RCSA) and control management processes.
• Design, develop, and implement intelligent workflows to automate evidence collection, validation, organization, and tracking across multiple teams and systems.
• Reduce manual effort in RCSA activities, including evidence requests, status tracking, control assessments, documentation, and reporting.
• Establish centralized workflow capabilities for visibility into evidence status, ownership, due dates, exceptions, and remediation actions.
• Utilize AI and Generative AI to analyze evidence, identify gaps, summarize control information, and support risk teams throughout the assessment lifecycle.
• Maintain structured records for improved traceability, audit readiness, and regulatory compliance.
• Build dashboards and management reports for real-time visibility into RCSA progress, control status, evidence completeness, and key risk indicators.
• Identify and implement scalable automation opportunities across Cybersecurity GRC processes.

Required Skills and Experience

• Proven experience in Cybersecurity Governance, Risk, and Compliance (GRC)
• Expertise designing and implementing automated workflows for risk, compliance, and control processes
• Proficiency with Artificial Intelligence (AI), Generative AI, and process automation technologies
• Strong collaboration skills working with Cybersecurity, Risk Management, Compliance, Technology, and control owners
• English proficiency

Preferred Skills

• Spanish language skills

Benefits

• Hybrid work environment-flexibility to work both onsite and remotely
• Opportunity for contract extension or full-time conversion
• Exposure to cutting-edge AI and automation projects in a large-scale banking environment
• Career growth through collaboration with industry experts and cross-functional teams
• Enhance your expertise in intelligent automation and cybersecurity GRC

How to Apply

Ready to lead the next wave of cybersecurity automation? Submit your resume and a brief cover letter outlining your relevant experience and interest in this role.

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Interested in this role?

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Job details

Job ID JPC - 210975

Location Quincy, Massachusetts, United States

Work Model On-site

Job Type C2C

Posted October 7, 2026

Skills The Cybersecurity GRC AI & Process Automation Engineer will be responsible for designing and implementing automation solutions across Cybersecurity Governance Risk and Compliance (GRC) processes with a particular focus on improving the efficiency traceability and governance of Risk and Control Self-Assessment (RCSA) activities· The role will leverage Artificial Intelligence (AI) Generative AI intelligent workflows and process automation technologies to reduce manual effort streamline evidence collection and validation improve tracking of risk and control activities and provide greater visibility into the status and effectiveness of cybersecurity controls· The resource will work closely with Cybersecurity risk management compliance Technology and control owners to identify manual and fragmented processes and transform them into standardized Automated and auditable workflows

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