Enterprise AI and Productivity Engineer

Fitch Group • New York, NY

2d • Hybrid

About The Position

Fitch Group is hiring an Enterprise AI and Productivity Engineer for its Technology & Data team, based in its New York office. The Enterprise AI and Productivity team advances Fitch’s enterprise AI strategy and intelligent workplace capabilities, with a focus on Microsoft and Copilot services. It serves as the enterprise center of excellence for AI platforms, intelligent low-code agents, and emerging workplace technologies, establishing the governance, administration, operational frameworks, and strategic direction needed to support adoption at scale. The role partners with teams across technology, security, architecture, data governance, legal, compliance, adoption, and business functions to enable secure, compliant, responsible, and measurable use of AI across a global workforce.

The engineer will execute the enterprise AI and Copilot platform strategy and roadmap; own the administration, configuration, governance, and lifecycle management of enterprise AI platforms and agents; define tenant and environment strategies; and establish delivery, release, CI/CD, and operational-readiness standards. The role develops controls aligned with security, privacy, compliance, risk, and data governance requirements, supports adoption and citizen-development programs, and helps manage platform consumption, licensing, utilization, and costs. It also evaluates emerging AI capabilities, establishes platform metrics and reporting, and advises stakeholders on the future direction of enterprise AI.

Fitch describes a hybrid work environment requiring two to three days per week in the office, depending on line of business and location. For New York and Chicago roles, the expected base salary is $140,000–$150,000 per year. Actual salary may vary based on job-related factors. Total compensation may also include commissions, discretionary bonuses, long-term incentives, and other benefits depending on the position.

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 in 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 capabilities with business objectives, governance requirements, and long-term technology direction.
• Administer, configure, and govern enterprise AI platforms and low-code agents so they are secure, scalable, cost-effective, and operationally mature.
• Establish 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 solution-delivery, release-management, CI/CD, and operational-readiness standards.
• Develop governance models, guardrails, and controls aligned with security, privacy, compliance, risk, and data governance requirements.
• Partner with Adoption and Change Management teams on enterprise adoption and scaling initiatives, 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-development 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.

Benefits

• Dedicated training, leadership development, and mentorship programs.
• Retirement planning programs.
• Tuition reimbursement programs.
• Comprehensive healthcare offerings supporting physical, mental, financial, social, and occupational wellbeing.
• Family-friendly policies, including a global parental leave plan.
• Employee Resource Groups and an inclusive, collaborative workplace.
• Paid volunteer days, matched funding for donations, and opportunities to volunteer in the community.
• Depending on the position, total compensation may include commission earnings, discretionary bonuses, and long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed