Sr Agentic AI Engineer - Core Platforms
American Express15 hours ago
Base Salary
$123k - $215k/yr
Responsibilities
- Designs, optimizes, and operates scalable production inference services for enterprise AI and machine learning solutions.
- Integrates AI models, LLMs, and intelligent services into production systems and scalable AI platforms.
- Builds end-to-end machine learning operations pipelines for model deployment, monitoring, and maintenance.
- Optimizes inference latency, throughput, accelerator utilization, cost, performance, and reliability.
- Ensures AI systems meet enterprise standards for reliability, safety, explainability, observability, compliance, and production readiness.
- Translates business and technical requirements into AI-driven technical solutions and service-level designs.
- Partners with platform, infrastructure, security, evaluation, application, product, and business teams.
- Mentors junior AI engineers and less-experienced colleagues.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or comparable experience; an advanced degree is preferred.
- 5+ years of software development experience, including hands-on machine learning, AI technology, and agentic AI experience.
- Advanced knowledge of machine learning techniques, performance optimization, and AI system architectures.
- Strong understanding of LLM ecosystems, retrieval systems, orchestration frameworks, evaluation methodologies, production model serving, inference optimization, GPU fundamentals, Kubernetes, and distributed systems.
- Experience with LLMs such as GPT-3.5, GPT-4, or similar models.
- Experience with Python, R, Java, or C++.
- Experience deploying AI models and pipelines using MLOps tools, continuous integration and deployment pipelines, and containerized deployments.
- Experience delivering end-to-end AI systems in production with design and operational ownership.
- Experience with distributed systems design, scalable APIs, cloud-native AI infrastructure, monitoring, optimization, model-serving frameworks, and containerized GPU workloads.
- Ability to evaluate technical alternatives and make sound service-level design decisions within established architecture.
- Advanced expertise in one technical domain and moderate expertise in a different technical domain.
Benefits
- Competitive base salaries and bonus incentives.
- 6% company match on the 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, including for pregnancy, adoption, or surrogacy.
- Access to onsite wellness centers, confidential counseling through the Healthy Minds program, and career development and training opportunities.
Tech Stack
Categories
About American Express
American Express builds a global payments network and issues consumer, small-business, and corporate cards, plus merchant acquiring and travel services. Revenue comes from card fees, interest and lending, discount/merchant fees, and network services. Founded in 1850 and headquartered in New York City, it operates the Amex acceptance network worldwide and offers co-branded cards and membership rewards across millions of cardmembers and merchants; ticker NYSE: AXP.