At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.”

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Role Overview

We are seeking a Senior Engineering Manager to lead teams building enterprise-grade Generative AI platforms and MCP (Model Context Protocol) tooling that power our semantic layer. This role owns technical strategy, people leadership, and delivery of scalable GenAI capabilities that enable secure, context-aware applications across the organization.

Key Responsibilities

Lead and grow high-performing engineering teams developing GenAI platforms, MCP toolkits, and semantic-layer capabilities.

Define technical vision, architecture, and roadmap for MCP-based integrations and GenAI enablement.

Partner with product, data, AI/ML, and platform leaders to deliver enterprise-ready GenAI solutions.

Drive adoption of best practices for LLM integration, RAG, semantic search, safety, and governance.

Ensure high standards for engineering excellence, reliability, security, and operational readiness.

Mentor engineers and managers, fostering a culture of innovation, accountability, and continuous improvement.

Qualifications

8–12+ years of software engineering experience, including 3+ years in engineering management.

Proven experience leading platform or infrastructure teams delivering complex, distributed systems.

Strong understanding of GenAI systems, LLM tooling, embeddings, and semantic architectures.

Experience with cloud platforms, APIs, and secure enterprise integrations.

Ability to balance hands-on technical depth with people leadership and execution.

Nice to Have

Experience with MCP or agent frameworks (OpenAI tools, Lang Chain, LlamaIndex).

Background in semantic layers, knowledge graphs, or enterprise data platforms.

Familiarity with AI governance, risk, and compliance in regulated environments.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries 

Bonus incentives 

Support for financial well-being and retirement 

Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 

Generous paid parental leave policies (depending on your location) 

Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 

Free and confidential counseling support through our Healthy Minds program 

Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.