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Staff AI Engineer – Servicing Enablement Platform
American Express. Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and operating agentic AI systems, with a strong focus on scalability, compliance, and innovative technology integration. Proven ability to lead cross-functional teams and mentor engineers while driving technical direction and delivering enterprise-ready solutions.
Highest-signal resume keywords
Agentic AI ArchitecturePython ProficiencyAWS and/or GCP ExperienceEvent-Driven Distributed ArchitecturesLeadership and Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoTypeScriptRESTGRPCKubernetesKafkaLangChainPyTorchPydantic
Soft Skills
Excellent CommunicationInfluencing SkillsLeadership
Tools & Technologies
LangGraphAirFlowHugging FaceTensorFlowGenAI
Certifications & Qualifications
Computer Science DegreeInformation Systems Degree
Industry Keywords
Agentic AIEnterprise-Scale EngineeringRegulatory ComplianceSafety ToolingObservability
Tech Stack
Tools & technologiesAirflowAWSCyber SecurityDistributed SystemsGoogle Cloud PlatformGRPCKafkaKubernetesPythonPyTorchTensorflowTypeScriptGo
About the role
Key responsibilities & impact- Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design
- Design, build, and operate production-grade agentic AI systems used across multiple products
- Own and evolve agent frameworks, orchestration layers, planning, tool use, memory strategies, RAG pipelines, LLM infrastructure, inference, model gateways, evaluation, observability, and safety tooling
- Lead technical design reviews and guide tradeoffs involving autonomy, safety, reliability, scalability, and cost
- Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production
- Evaluate emerging models, techniques, and agentic patterns and translate them into enterprise-ready improvements
- Mentor senior engineers and raise the technical bar for agentic AI development
- Architect and own coordination across multiple platforms, ensuring scalability, resiliency, and compliance with global standards
- Build proofs of concept to experiment with new technologies, databases, and application infrastructure
- Pursue innovative technologies and open-source products for low-latency distributed systems
- Drive a culture of innovation and experimentation
- Provide technical consulting support to global product teams and regional stakeholders for secure product rollouts
- Partner with risk, compliance, and cybersecurity teams to meet regulatory and security requirements
- Work with peers, Principal Engineers, and Principal Architects to incorporate new technology and delivery methods into scalable software solutions
Requirements
What you’ll need- Comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI
- Proficiency in Python, Go, and TypeScript
- Experience with REST, gRPC, and potentially tRPC
- Experience with AWS and/or GCP and Kubernetes
- Experience with event-driven distributed architectures, including Kafka
- Experience with orchestration frameworks such as LangGraph, LangChain, and AirFlow
- Experience integrating commercial and open-source LLMs into agentic workflows
- Experience with LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with judgment about when to use frameworks versus lighter-weight primitives
- Experience with PyTorch and the Hugging Face ecosystem, including embeddings, fine-tuning, and inference tooling; some exposure to TensorFlow
- Strong schema, validation, and state management practices using Pydantic and Zod
- Computer Science or Information Systems degree, or equivalent with at least 8+ years of work experience
- Experience building intelligent solutions leveraging GenAI and modern technology stacks
- Experience building and delivering large-scale enterprise systems/products
- Excellent written and verbal communication skills and ability to create and deliver presentations to senior leadership
- Ability to partner and influence across multiple business and functional lines, including technology and business leadership
- Exceptional leadership skills to inspire and support diverse internal and external talent
Benefits
Comp & perks- 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 the Healthy Minds program
- Career development and training opportunities