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