Staff AI Engineer - Personalization, Brand, Communications Tech
About The Position
The Staff AI Engineer – Agentic AI is a senior individual-contributor role within Amex Technology, responsible for helping define how agentic AI systems are designed, built, and operated across the company. The position combines architectural leadership with hands-on engineering, including designing shared frameworks, writing production code, reviewing critical designs, and guiding complex technical decisions. It has broad architectural ownership and organizational impact, with no people-management responsibility specified as part of the core role, although mentoring and people development are emphasized and managing direct reports may be in scope for some opportunities as the team grows. The role works closely with Product and UX partners to shape agentic AI experiences and influence what is built and how systems fit together across teams. It focuses on building production-grade systems for complex workflows and customer-facing experiences, with appropriate autonomy and strong attention to security, explainability, reliability, safety, scalability, cost, and compliance in a regulated financial-services environment. The technical environment includes Python, Go, and TypeScript; REST and gRPC APIs; AWS and/or GCP; Kubernetes; distributed, event-driven architectures such as Kafka; and orchestration frameworks including LangGraph, LangChain, and Airflow. Agentic and ML work involves commercial and open-source LLM integration, frameworks such as LlamaIndex, Semantic Kernel, and CrewAI, PyTorch and Hugging Face tools, some TensorFlow exposure, and schema and state management with tools such as Pydantic and Zod.
Requirements
- 12+ years of experience building large-scale distributed systems, plus strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
- Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
- Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
- Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
- Fluency with AI-assisted and agentic development workflows.
- Ability to operate in ambiguous problem spaces and translate them into shipped, reliable autonomous systems.
- Ability to influence technical direction and align teams without formal authority.
- Experience with workflow engines, asynchronous processing, queues, and streaming systems.
Nice To Haves
- Experience building agentic systems in fintech or other regulated industries.
- Experience as a founding engineer or early technical leader in AI-driven products.
- Demonstrated success delivering technically complex autonomous systems that customers actively rely on.
- Meaningful contributions to open-source AI or agentic frameworks.
- Familiarity with fine-tuning, model optimization, and inference pipelines.
Responsibilities
- 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 shared agentic AI capabilities, including agent frameworks and orchestration layers; planning, tool use, and memory strategies; retrieval and grounding pipelines; LLM infrastructure, inference, and model gateways; and evaluation, observability, and safety tooling.
- Lead technical design reviews and guide teams through tradeoffs involving autonomy, safety, reliability, scalability, and cost.
- Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept through production.
- Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
- Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.
- Work with Product and UX partners to shape a shared vision for agentic AI experiences and influence technical and product direction across teams.
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 of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
- Free access to global onsite 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
