Lead a team to design, build, and deploy AI-powered product management tools and multi-agent systems. Implement MCP infrastructure, production observability, and scalable integrations with enterprise platforms. Drive adoption, governance, and AI-enabled operating models while partnering across Product, Engineering, Risk, and Governance to measure impact and ensure responsible use.
Digital Workplace (DW) is a part of the Technology organization that provides tools and services to American Express colleagues. Our mission is to deliver the world's best colleague digital experience: Everywhere. Everyday. We simplify work and raise productivity by empowering colleagues with the best digital tools and experiences. This role will report to the VP, DW Portfolio & Operational Excellence and will manage a team of managers and analysts.
Sr Software Engineer I directs the end-to-end development of software applications, ensures adherence to best practices, mentors and coaches junior engineers, and collaborates with teams to optimize performance and integration.
Responsibilities- AI-Enabled Product Management Transformation
- Responsible for implementing AI into product management workflows (e.g., discovery, road mapping, prioritization, backlog management)
- Develop against high-impact use cases to drive efficiency, quality, and speed to market across product teams
Standardize how AI is leveraged to improve product decision-making, insight generation, and execution
- AI Solution Development & Delivery
- Join a high-powered, expert team of engineers and product specialists to develop AI-powered tools and accelerators
- Develop and deploy solutions using leading platforms (e.g., ChatGPT, M365 Copilot, Copilot Studio, Claude, agentic AI frameworks)
- Partner closely with engineering and architecture teams to ensure scalability, security, and integration into enterprise environments
- Drive rapid prototyping and iterative experimentation to validate value and scale successful solutions
- Design, build, and ship multi-agent systems
- Build and implement Model Context Protocol (MCP) server infrastructure
- Build production observability for agent systems - tracing, logging, and metrics that distinguish hallucination rate, latency, cost, and accuracy
- Own the systems you build in production, including reliability, latency, cost, and failure modes
- Product Intelligence & Decision Augmentation
- Enable product teams to leverage AI for insight generation, customer understanding, and opportunity identification
- Develop capabilities that automate synthesis of research, telemetry, and feedback into actionable product insights
- Enhance roadmap planning through AI-driven scenario modeling and prioritization support
- Operating Model & Adoption
- Define AI-enabled product management, including tools, workflows, and guardrails
- Partner with Product, Engineering, Risk, and Governance teams to ensure compliant and responsible use of AI
- Drive adoption through enablement, training, and embedded playbooks for product teams
- Establish success metrics to measure impact on speed, quality, and business outcomes
AI & Product Expertise
- Deep experience in product management within enterprise-scale environments
- Proven track record applying AI/GenAI to business or product workflows
- Strong familiarity with leading AI platforms and tools (e.g., ChatGPT, M365 Copilot, Copilot Studio, Claude, agentic systems)
- Experience translating emerging AI capabilities into practical, scalable solutions
Technical & Delivery Capabilities
- Experience leading or partnering with engineering teams to build and deploy software solutions
- Understanding of AI solution design, prompt engineering, and orchestration frameworks
- Ability to operate across product, engineering, and data domains
Strategic & Leadership Skills
- Strategic thinker with ability to translate innovation into enterprise value
- Strong executive communication skills, able to simplify complex concepts
- Experience building new capabilities, teams, or operating models from the ground up
- Ability to influence across a highly matrixed organization
Experience
- 3+ years in product management, technology, digital transformation
- 3+ years in engineering, development, or architecture
- Strong expertise in Gen AI, AI Automation, “citizen development” tools
- Experience in enterprise environments with complex governance and regulatory requirements
- Demonstrated impact driving innovation and adoption at scale
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
American Express New York, New York, USA Office
World Financial Center, New York, NY, United States, 10285
American Express Hoboken, New Jersey, USA Office
Hoboken, United States
American Express Jersey City, New Jersey, USA Office
Jersey City, United States
American Express New York, New York, USA Office
200 Vesey St, New York, NY, United States, 10281
American Express New York, New York, USA Office
New York, United States
American Express Roseland, New Jersey, USA Office
Roseland, United States
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