Senior Software Engineering Manager, AI Software Engineering

Johnston, Rhode Island - USD

Full Time

Posted by: FM

Posted:

Sunday, 30 August 2026 Applicants must be eligible to work in the specified location

Job Description Job Description:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The Senior Manager, AI Software Engineering Enablement will lead FM's transition to a governed, AI-enabled software delivery operating model. This leader is responsible for defining, building, and scaling the enterprise capabilities that enable AI-assisted, traceable, secure, and compliant software delivery. The role oversees the adoption of modern engineering platforms, Enterprise Standards as Code, software development skills, shared services, governance automation, traceability services, release readiness, and AI-enabled development capabilities. This leader must bring deep software engineering experience and extensive knowledge of modern engineering best practices, including software architecture, secure development, quality engineering, automated testing, code quality, maintainability, observability, delivery automation, and lifecycle governance. The leader will ensure that AI-enabled development strengthens, rather than bypasses, the engineering disciplines required to build reliable, secure, maintainable, and scalable software. Working across Engineering, Architecture, Security, Audit, Compliance, and Platform Engineering, this leader will establish the frameworks, platforms, shared services, and governance capabilities that allow software teams to deliver consistently by leveraging AI while maintaining enterprise standards and regulatory expectations. This is a manager-of-managers role with responsibility for teams focused on developer enablement, AI SDLC capabilities, shared services, engineering governance services, enterprise development standards, and AI software delivery platforms. The scope of impact spans software engineering efforts across FM, driving the adoption and evolution of AI-enabled software delivery capabilities throughout the enterprise. The role is approximately 70% technical leadership and strategy and 30% organizational leadership, adoption, and stakeholder engagement. Technical Leadership

Own the execution and refinement of FM's AI Software Delivery roadmap and target operating model.

Establish and promote modern software engineering capabilities and best practices across FM, including:

Software architecture and design

Secure software development

Code quality and maintainability

Quality engineering and automated testing

Observability and operational readiness

CI/CD and delivery automation

Developer productivity and experience

Software lifecycle governance

Establish enterprise AI software delivery capabilities, including:

AI-Driven development

Enterprise Standards as Code

Development Skills

Traceability Services

Governance Services

Release Readiness Services

Enterprise Agent Platform capabilities

Cost Management and FinOps

AIDevOps capabilities, including AI integration within engineering pipelines, testing, deployment, and operational workflows

Ensure AI-enabled development enhances engineering rigor, quality, security, and maintainability rather than bypassing established software engineering disciplines.

Drive enterprise adoption of platform and emerging AI-enabled software engineering capabilities.

Define the strategy, lifecycle, and governance model for reusable software development skills, agents, standards, shared services, and delivery accelerators.

Establish metrics and measurement frameworks that quantify the value created by the AI SDLC, including productivity, quality, risk reduction, and return on investment for AI tooling and services.

Establish architecture and operating models for enterprise agent execution, enterprise prompt and skills management, governance automation, and AI-enabled delivery workflows.

Partner with Security, Architecture, Audit, Compliance, and Platform Engineering to embed governance directly into software delivery processes.

Understand the value chain of applying generative AI to software development, including model selection, cost optimization, local versus cloud deployment strategies, toolchain orchestration, and performance management.

Guide the evolution and effectiveness of the AI SDLC across diverse technology stacks, including cloud-native, commercial off-the-shelf, and Legacy application environments.

Product Ownership

Drive the roadmap for enterprise AI software delivery and shared service capabilities.

Prioritize investments across engineering standards, governance, traceability, developer experience, agent platforms, shared services, and enablement capabilities.

Evaluate emerging technologies and determine their alignment with FM's strategic software delivery direction.

Ensure internally developed capabilities remain aligned with evolving enterprise platforms, software engineering best practices, and FM technology standards.

Partner with software engineering leadership to drive adoption of new AI SDLC capabilities and operating model enhancements.

Serve as the strategic owner for enterprise AI software engineering enablement capabilities, balancing innovation, engineering quality, governance, adoption, value realization, and long-term sustainability.

Qualifications:

15+ years of experience in software engineering, software architecture, software delivery, platform engineering, DevOps, cloud engineering, developer experience, or related technical leadership disciplines.

Deep software engineering experience designing, building, testing, deploying, and operating enterprise software solutions.

5+ years leading managers, senior engineers, architects, or technical leaders within enterprise technology organizations.

Demonstrated expertise in modern software engineering practices, including architecture, code quality, testing strategies, code review, secure software development, maintainability, observability, delivery automation, and engineering governance.

Proven experience leading enterprise-scale engineering transformation, software delivery modernization, platform adoption, or developer productivity initiatives.

Experience working across Engineering, Architecture, Security, Compliance, Audit, Platform Engineering, and Technology Leadership organizations.

Experience defining enterprise engineering standards, governance frameworks, operating models, and cross-functional adoption strategies.

Experience building or managing engineering platforms, shared services, developer ecosystems, or software delivery enablement programs.

Experience managing technology investments, business value realization, vendor capabilities, and technical roadmap prioritization.

Experience presenting strategy, roadmap progress, business value, and adoption metrics to senior leadership and executive stakeholders.

Technical Skills

Modern software architecture, design patterns, development frameworks, and application lifecycle management.

Software development best practices, including clean code, code review, maintainability, technical debt management, refactoring, and reusable design.

Quality engineering practices, including test strategy, automated testing, continuous testing, performance testing, and quality automation.

Secure software development, threat-informed engineering, vulnerability management, and security controls throughout the development lifecycle.

Developer Experience practices, including specification-driven development, harness engineering, reusable development assets, and engineering enablement.

AI agent frameworks, orchestration platforms, and multi-agent software engineering workflows.

Policy-as-Code, Governance-as-Code, Standards-as-Code, and compliance automation.

Platform engineering, shared services, and developer self-service architectures.

Traceability, audit evidence, release readiness, and software delivery governance capabilities.

Software engineering metrics, engineering intelligence, and value measurement frameworks.

Enterprise architecture patterns and technology governance.

Cloud platforms, distributed systems, APIs, integration patterns, and modern software delivery architectures.

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Location

Johnston, Rhode Island, United States of America

Industry

IT

Rate

USD

Employment Agency

FM

Contact

FM

Reference

JS3807636983/3165267493

Posted Date

8/30/2026 10:03:29 AM