Enterprise AI and Productivity Engineer

Fitch Group•New York, NY

3d•$140,000 - $150,000•Hybrid

About The Position

Fitch Group is hiring an Enterprise AI and Productivity Engineer based out of its New York office. The role is part of the Enterprise AI and Productivity team, which advances Fitch’s enterprise AI strategy and intelligent workplace capabilities, with a focus on Microsoft and Copilot services. The team provides governance, administration, operational frameworks, and strategic direction for companywide AI platforms, low-code agents, and emerging workplace technologies, enabling secure, compliant, and responsible AI use across the organization. The engineer will execute the enterprise AI and Copilot platform strategy, roadmap, and operating model; administer and govern AI platforms and low-code agents; establish lifecycle, environment, tenant, release, and operational frameworks; and develop governance controls aligned with security, privacy, compliance, risk, and data governance requirements. The role partners with engineering, adoption and change management teams, and stakeholders across business process automation, information security, architecture, data governance, legal, compliance, and emerging technology. It also supports platform adoption, citizen developers, business users, and technical teams, and measures platform health, usage, risk, effectiveness, and business outcomes. The position is hybrid, with two to three days per week in the office required, based on line of business and location. For New York and Chicago roles, the expected base pay range is $140,000–$150,000 per year. Actual salary is determined individually and may vary based on education, training, experience, past performance, and other job-related factors. Total compensation may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

Requirements

At least 7 years of experience in Information Technology, including experience supporting enterprise collaboration, productivity, AI, cloud, or platform technologies.
At least 5 years of experience leading enterprise technology initiatives, platform operations, governance programs, or engineering organizations.
Strong understanding of enterprise AI platforms, intelligent agents, automation services, and modern digital workplace technologies.
Experience defining enterprise governance models, operating frameworks, platform strategies, and lifecycle management processes.
Strong understanding of responsible AI principles, information security, privacy, compliance, risk management, and data governance practices.
Experience managing enterprise SaaS services, tenant administration, platform configuration, and operational governance.
Knowledge of environment strategies, release governance, DevOps/CI/CD concepts, platform lifecycle management, and enterprise service operations.
Experience supporting citizen development programs, centers of excellence, platform enablement initiatives, or enterprise technology adoption programs.
Strong analytical skills and experience measuring platform utilization, adoption trends, operational health, consumption patterns, and business value.
Exceptional stakeholder management and communication skills, with the ability to influence senior leaders, technical teams, and business stakeholders.
Demonstrated ability to balance innovation, governance, operational excellence, and business outcomes in rapidly evolving technology environments.

Nice To Haves

Experience leading enterprise-scale AI and Copilot platform adoption, governance, and operationalization initiatives.
Experience administering and governing enterprise Microsoft environments, including platform controls, lifecycle management, environment strategy, and operational governance.
Strong understanding of AI platform security, compliance requirements, responsible AI controls, and risk management frameworks.
Experience establishing Centers of Excellence, developer enablement programs, citizen development programs, or enterprise governance functions.
Experience implementing platform engineering, environment management, DevOps, release management, or CI/CD practices for enterprise-scale technology services.
Proven track record managing technology consumption, licensing, utilization, operational efficiency, and cost optimization initiatives.
Experience developing executive reporting, platform analytics, adoption metrics, and value realization frameworks.
Ability to evaluate emerging AI technologies and translate innovation into sustainable enterprise capabilities and operating models.
Experience operating within highly regulated environments with strong security, compliance, audit, and governance requirements.

Responsibilities

Execute the enterprise AI and Copilot platform strategy, roadmap, and operating model, aligning AI capabilities with business objectives, governance requirements, and long-term technology direction.
Own administration, configuration, and governance of enterprise AI platforms and low-code agents, ensuring they are secure, scalable, cost-effective, and operationally mature.
Establish and govern lifecycle management for AI solutions and agents, including onboarding, deployment, monitoring, supportability, change management, and retirement.
Define platform, environment, and tenant management strategies for enterprise development, testing, production operations, and responsible innovation.
Partner with engineering teams to establish and maintain enterprise standards for solution delivery, release management, CI/CD processes, and operational readiness.
Develop governance models, guardrails, and controls for AI capabilities in alignment with security, privacy, compliance, risk, and data governance requirements.
Partner with Adoption and Change Management teams on enterprise adoption and scaling initiatives for AI-powered workplace capabilities, driving awareness, enablement, and business value realization.
Contribute to platform consumption, licensing, utilization, and cost management strategies.
Evaluate emerging AI capabilities, assess enterprise readiness, and translate evolving technologies into practical strategies, standards, and roadmaps.
Enable and support citizen developer program leads, business users, and technical teams through governance, education, operating models, and platform best practices.
Establish operational metrics, telemetry, and reporting to measure platform health, adoption, usage trends, risk, effectiveness, and business outcomes.
Serve as a strategic advisor and subject matter expert on enterprise AI platforms, helping shape the future direction of AI capabilities across the organization.

Benefits

Retirement planning programs
Tuition reimbursement programs
Comprehensive healthcare offerings supporting physical, mental, financial, social, and occupational wellbeing
Generous global parental leave plan
Employee Resource Groups
Paid volunteer days
Matched funding for donations
Opportunities to volunteer in the community
Dedicated trainings
Leadership development and mentorship programs