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Vice President, Agentic AI Platforms & Engineering (Future Opportunities)

American Express

Vice President, Agentic AI Platforms & Engineering (Future Opportunities)

American Express

Toronto, Ontario, Canada

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Parental Leave

Learning Budget

Mental Health

Gym

Healthcare

401k

Flexible Hours

Parental Leave

Learning

Mental Health

Gym

Required Skills

AI/ML Leadership

Cloud Platforms

Distributed Systems

APIs

Software Architecture

Team Leadership

Governance

American Express invites you to share your resume so you can be considered for future Agentic AI opportunities in the Enterprise Technology Services organization.

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.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

The Enterprise Data & AI organization plays a critical role in leveraging data and artificial intelligence as core drivers of innovation. This role focuses on scaling agentic AI platforms and capabilities that deliver measurable business value while meeting the highest standards of trust, security, and governance.

As Vice President, Agentic AI Platforms & Engineering, you will lead the design, delivery, and scaling of agentic AI platforms and solutions across priority enterprise domains. This role balances strategic influence with hands-on execution, translating emerging AI capabilities into production-ready, governed, and scalable solutions.

You will operate at the intersection of AI enablement, platform engineering, product delivery, and enterprise integration, partnering closely with senior technology, product, and risk leaders.

Key Responsibilities

Agentic AI Platforms & Use-Case Enablement

Lead the delivery and evolution of agentic AI solutions, including autonomous agents, LLM-orchestrated workflows, and intelligent decisioning systems.

Enable high-impact use cases by providing execution leadership, reusable patterns, and tooling.

Partner with product and engineering teams to move initiatives from pilot to scaled production.

Architecture, Engineering & Modernization

Drive platform modernization toward cloud-native, API-first, and event-driven architectures.

Collaborate with architecture and engineering teams to integrate LLMs, orchestration layers, and AI services into enterprise platforms.

Ensure platforms meet enterprise standards for reliability, performance, security, and cost efficiency.

Design and oversee highly available, fault-tolerant distributed systems supporting agent orchestration, state management, and coordination.

Ensure the platform scales horizontally across regions, clouds, and workloads with predictable performance.

Lead architectural decisions around:

Distributed state and memory (event sourcing, CRDTs, vector stores, state machines)

Task scheduling and execution across heterogeneous compute

Inter-agent communication, messaging, and coordination patterns

Responsible AI, Risk & Governance

Embed responsible AI principles, model governance, and compliance controls into agentic AI solutions.

Partner with Risk, Compliance, and Legal teams to ensure adherence to regulatory and policy requirements.

Define guardrails, metrics, and monitoring AI performance and risk.

Delivery, Execution & Portfolio Management

Own end-to-end delivery for multiple concurrent AI and platform initiatives.

Translate strategic priorities into clear delivery plans, milestones, and success metrics.

Track and report on business outcomes, adoption, and platform health.

Leadership & Stakeholder Partnership

Lead and develop high-performing, cross-functional teams.

Foster a culture of accountability, experimentation, and continuous learning.

Communicate complex AI topics clearly to senior leaders and business partners.

Minimum Qualifications

10+ years of experience leading technology, data, or AI initiatives in large, complex organizations.

Demonstrated experience delivering AI-enabled or agentic systems into production environments.

Strong understanding of cloud platforms, distributed systems, APIs, and modern software architecture.

Proven ability to lead cross-functional teams and deliver measurable results.

Experience operating in regulated environments with strong governance and risk controls.

Preferred Qualifications

Experience with large language models (LLMs), agent orchestration frameworks, or intelligent automation platforms.

Background in financial services, payments, fintech, or other regulated industries.

Experience modernizing legacy platforms into cloud-native or AI-enabled architectures.

Advanced degree in Computer Science, Engineering, or a related field.

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 committed to providing an inclusive and accessible work environment in which all people who apply for positions or who work for or on behalf of Amex are treated with dignity and respect and are provided with equal treatment with respect to employment, regardless of that person's age, sex, sexual orientation, gender identity, gender expression, race, colour, ancestry, ethnic or national origin, citizenship, religion or creed, marital status, family status, pregnancy, disability, record of offences, social condition or origin, political beliefs, association or activity or other factors prohibited under applicable Human Rights legislation (the “Prohibited Grounds”). If you have a disability and need accommodation, please speak with the Recruiter for more information.

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

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About American Express

American Express

American Express Company or Amex is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan.

10,001+

Employees

New York

Headquarters

Reviews

3.3

10 reviews

Work Life Balance

2.8

Compensation

3.2

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Good benefits and compensation

Training and professional development provided

Well-structured company with high-level professionals

Cons

Micromanagement and lack of trust from leadership

Fast-paced, high-stress work environment

Poor work-life balance with extended hours expectations

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · ヒューマンリソーシズ L2

0 reports

$168,350

total / year

Base

$67,340

Stock

$84,175

Bonus

$16,835

$117,845

$218,855

Interview Experience

10 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

10%

Interview Process

1

Application Review

2

HireVue Pre-Screening

3

Technical Phone Screen

4

Behavioral Interview

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit