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American Express

Staff AI Engineer – Servicing Enablement Platform

American Express

Staff AI Engineer designing and operating agentic AI platforms for American Express servicing operations. Driving architecture, LLM infrastructure, orchestration, safety, and scalable enterprise delivery across teams.

Posted 8/4/2026full-timeBengaluru • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and developing agentic AI systems, with proficiency in Python, Go, and TypeScript. Capable of leading cross-functional teams to deliver scalable, compliant, and innovative solutions while mentoring engineers and driving technical excellence.

Highest-signal resume keywords
Agentic AI System DesignPython, Go, TypeScript ProficiencyAWS, GCP, Kubernetes ExperienceEvent-Driven Distributed ArchitecturesLeadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonGoTypeScriptRESTGRPCKubernetesKafkaLangChainPyTorchGenAI
Soft Skills
LeadershipInfluencingPresentation SkillsCollaborationMentoring
Tools & Technologies
AWSGCPLangGraphAirflowHugging FaceTensorFlowPydanticZod
Industry Keywords
Agentic AIAutonomySafetyScalabilityComplianceDistributed SystemsOpen-Source Products

Tech Stack

Tools & technologies
AirflowAWSCyber SecurityDistributed SystemsGoGoogle Cloud PlatformGRPCKafkaKubernetesPythonPyTorchTensorflowTypeScript

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, and evaluation, observability, and safety tooling
  • Lead technical design reviews and guide teams through autonomy, safety, reliability, scalability, and cost tradeoffs
  • Partner across teams to deliver complex 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 on regulatory and security requirements
  • Work with Principal Engineers and Principal Architects to incorporate new technologies and delivery methods into scalable software solutions

Requirements

What you’ll need
  • Bachelor’s degree is listed in the job metadata as the study level
  • Computer Science or Information Systems degree, or equivalent with at least 8 years of work experience
  • 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 LangGraph, LangChain, Airflow, or similar orchestration frameworks
  • Experience integrating commercial and open-source LLMs into agentic workflows
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or CrewAI
  • Model-level experience with PyTorch and the Hugging Face ecosystem; some exposure to TensorFlow
  • Strong schema, validation, and state-management practices using Pydantic and Zod
  • Experience building intelligent solutions with GenAI and modern technology stacks
  • Experience building and delivering large-scale enterprise systems or products
  • Ability to create and deliver effective presentations to senior leadership
  • Ability to partner and influence across business and functional lines
  • Exceptional leadership skills to 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