A
Senior AI Engineer II - Forward Deployed Engineer - Enterprise AI Platforms
American Express
5 hours ago
Full-time
On-site
New York City, New York, United States
American Express is seeking a Senior AI Engineer II to serve as a Forward Deployed Engineer supporting enterprise AI platform initiatives. In this onsite role in New York, NY, you will work closely with business and engineering teams to identify high-value use cases and take generative AI concepts through proof of value to adoption and long-term ownership, with emphasis on security, reliability, and responsible AI.
How You Will Contribute
Partner with business units, product teams, and engineering organizations to identify and reframe high-value opportunities, translate business needs into value propositions, and deliver working solutions using
generative AI ,
agentic systems , and
intelligent automation .
Move opportunities from discovery and demonstration through proof of value, production scaling, adoption, and transition to
long-term ownership .
Enable credible opportunities to progress into durable, measurable ways of working, balancing outcomes with enterprise requirements for
security ,
reliability , and
responsible AI .
Influence stakeholders without direct authority, communicate across levels of technical familiarity, and work alongside engineers to build and deploy reliable software.
Challenge assumptions about how work is performed by analyzing processes as systems and identifying technical, operational, and organizational levers for improvement.
Define longer-term technical direction while sequencing practical near-term solutions that build toward that direction.
Required Qualifications
5+ years
of experience delivering software, technical solutions, or digital products in an engineering, architecture, or technical consulting capacity.
Demonstrated ability to take an ambiguous business or user problem from discovery through implementation to
measurable validation .
Experience using
coding agents
in a structured engineering workflow, including specification-driven development, context management, iterative implementation, and reusable knowledge repositories.
Software engineering fluency with the ability to contribute directly to applications, integrations, services, or technical prototypes.
Experience in at least one relevant domain: mobile, web, backend services, APIs, distributed systems, platform engineering, workflow orchestration, or cloud-native development.
Ability to reason about systems end to end, identify constraints and leverage points, and link technical decisions to business outcomes.
Strong communication and stakeholder partnership skills, including the ability to explain technical concepts, challenge existing approaches constructively, and influence without direct authority.
Ability to define longer-term direction and sequence incremental solutions that build toward it.
Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Employment eligibility to work with American Express in the United States is required. The company will not pursue visa sponsorship for these positions.
Technologies and Tools
Generative AI
Agentic systems
Intelligent automation
Retrieval-augmented generation
Vector databases
Tool calling
Model context protocols
Knowledge retrieval
Temporal
LangGraph
LangChain
LlamaIndex
Preferred Qualifications
Experience building or deploying solutions powered by language models, agentic systems, or AI-enabled process flows.
Experience with retrieval-augmented generation, vector databases, tool calling, model context protocols, knowledge retrieval, or workflow technologies such as Temporal, LangGraph, LangChain, or LlamaIndex.
Experience designing human-in-the-loop controls and operational safeguards, with knowledge of AI evaluation, observability, and responsible AI.
Experience supporting technology adoption or operating-model transformation, particularly in financial services or another regulated industry.
Success Metrics
AI opportunities progress from discovery to proof of value and, where appropriate, production adoption.
Measurable business outcomes tied to clearly defined KPIs.
Ability to identify and reframe valuable opportunities while connecting near-term delivery to longer-term transformation.
Solutions improve broader workflows and are adopted into sustainable operating models.
Strong stakeholder relationships, technical quality, and effective management of security, risk, and reliability.
Reusable capabilities and implementation patterns incorporated into the enterprise AI platform.
Compensation Salary range:
USD 123,000 to 215,250 per year.
Benefits
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through the Healthy Minds program
Career development and training opportunities
Working Model and Travel
Occasional travel may be required for workshops or key delivery milestones, but frequent travel is not expected.
Roles may be based near selected American Express offices to support close partnerships with regional business and product teams.
#J-18808-Ljbffr
How You Will Contribute
Partner with business units, product teams, and engineering organizations to identify and reframe high-value opportunities, translate business needs into value propositions, and deliver working solutions using
generative AI ,
agentic systems , and
intelligent automation .
Move opportunities from discovery and demonstration through proof of value, production scaling, adoption, and transition to
long-term ownership .
Enable credible opportunities to progress into durable, measurable ways of working, balancing outcomes with enterprise requirements for
security ,
reliability , and
responsible AI .
Influence stakeholders without direct authority, communicate across levels of technical familiarity, and work alongside engineers to build and deploy reliable software.
Challenge assumptions about how work is performed by analyzing processes as systems and identifying technical, operational, and organizational levers for improvement.
Define longer-term technical direction while sequencing practical near-term solutions that build toward that direction.
Required Qualifications
5+ years
of experience delivering software, technical solutions, or digital products in an engineering, architecture, or technical consulting capacity.
Demonstrated ability to take an ambiguous business or user problem from discovery through implementation to
measurable validation .
Experience using
coding agents
in a structured engineering workflow, including specification-driven development, context management, iterative implementation, and reusable knowledge repositories.
Software engineering fluency with the ability to contribute directly to applications, integrations, services, or technical prototypes.
Experience in at least one relevant domain: mobile, web, backend services, APIs, distributed systems, platform engineering, workflow orchestration, or cloud-native development.
Ability to reason about systems end to end, identify constraints and leverage points, and link technical decisions to business outcomes.
Strong communication and stakeholder partnership skills, including the ability to explain technical concepts, challenge existing approaches constructively, and influence without direct authority.
Ability to define longer-term direction and sequence incremental solutions that build toward it.
Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
Employment eligibility to work with American Express in the United States is required. The company will not pursue visa sponsorship for these positions.
Technologies and Tools
Generative AI
Agentic systems
Intelligent automation
Retrieval-augmented generation
Vector databases
Tool calling
Model context protocols
Knowledge retrieval
Temporal
LangGraph
LangChain
LlamaIndex
Preferred Qualifications
Experience building or deploying solutions powered by language models, agentic systems, or AI-enabled process flows.
Experience with retrieval-augmented generation, vector databases, tool calling, model context protocols, knowledge retrieval, or workflow technologies such as Temporal, LangGraph, LangChain, or LlamaIndex.
Experience designing human-in-the-loop controls and operational safeguards, with knowledge of AI evaluation, observability, and responsible AI.
Experience supporting technology adoption or operating-model transformation, particularly in financial services or another regulated industry.
Success Metrics
AI opportunities progress from discovery to proof of value and, where appropriate, production adoption.
Measurable business outcomes tied to clearly defined KPIs.
Ability to identify and reframe valuable opportunities while connecting near-term delivery to longer-term transformation.
Solutions improve broader workflows and are adopted into sustainable operating models.
Strong stakeholder relationships, technical quality, and effective management of security, risk, and reliability.
Reusable capabilities and implementation patterns incorporated into the enterprise AI platform.
Compensation Salary range:
USD 123,000 to 215,250 per year.
Benefits
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through the Healthy Minds program
Career development and training opportunities
Working Model and Travel
Occasional travel may be required for workshops or key delivery milestones, but frequent travel is not expected.
Roles may be based near selected American Express offices to support close partnerships with regional business and product teams.
#J-18808-Ljbffr