Senior AI Engineer II - Forward Deployed Engineer - Enterprise AI Platforms

American Express

New York (NY)

On-site

USD 123,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings
Financial coaching
Medical, dental, vision, life, and dis
Hybrid/onsite/virtual working options
20+ weeks parental leave
Wellness center access
Counseling via Healthy Minds
Career development

Job summary

American Express is seeking a Senior AI Engineer II to serve as a Forward Deployed Engineer for enterprise AI platform initiatives. This onsite role in New York, NY will partner with business and engineering teams to identify high-value use cases and drive generative AI concepts from proof of value to adoption and long-term ownership, with emphasis on security and responsible AI.

Responsibilities include transforming opportunities into durable, measurable ways of working while balancing

Qualifications

  • 5+ years delivering software or digital products in an engineering capacity.
  • Ambiguous problems -> discovery to measurable value.
  • Experience using coding agents in a structured workflow.
  • Software engineering fluency for apps, services, or prototypes.
  • Experience in mobile, web, backend, APIs, distributed systems, platform engineering, or cloud-native development.
  • Reason about systems end-to-end; link decisions to business outcomes.
  • Strong communication and stakeholder skills; influence without authority.
  • Define longer-term direction and sequence incremental solutions.

Responsibilities

  • Identify and translate business needs into value propositions using generative AI, agentic systems, and intelligent automation.
  • Move opportunities from discovery through proof of value, adoption and ownership.
  • Balance security, reliability, and responsible AI in solutions.
  • Collaborate across business, product, and engineering groups to deliver working solutions.
  • Analyze processes as systems to identify levers for improvement.
  • Define longer-term technical direction while sequencing practical near-term steps.

Skills

5+ years experience
Ambiguity handling
Coding agents
Software engineering
Domain experience
Systems thinking
Stakeholder communication
Long-term direction

Education

Bachelor's degree in CS/Engineering
Equivalent practical experience

Tools

LangChain
LangGraph
LlamaIndex
Vector databases
Tool calling
Temporal
Retrieval-augmented generation
Knowledge retrieval
Model context protocols

Job description

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.
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