Sr Agentic AI Engineer - Core Platforms
Key Skills for This Role
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Qualifications
- Education and Knowledge
- Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
- Advanced knowledge of machine learning techniques and performance optimization
- Strong understanding of AI system architectures including LLM ecosystems, retrieval systems, orchestration frameworks, and evaluation methodologies
- Strong knowledge of production model serving, inference optimization, GPU fundamentals, Kubernetes, APIs, and distributed systems.
- Ability to evaluate technical alternatives and make sound service-level design decisions within established architecture.
- Work Experience
- 5+ years software development experience, including hands-on experience in machine learning, AI technologies, and Agentic AI solutions.
- Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
- Experience in languages such as Python, R, Java, or C++
- Experience in deploying AI models and pipelines using machine learning operations tools
- Experience in machine learning algorithms and experience applying them to real-world problems
- Experience in continuous integration/continuous deployment pipelines and containerized deployments
- Experience delivering end-to-end AI systems in production, including design and operational ownership
- Experience with distributed systems design, scalable APIs, and cloud-native AI infrastructure, including monitoring and optimization
- Advanced expertise in a technical domain and moderate expertise in a new, different technical domain
- Demonstrated experience independently building and operating production inference services.
- Experience with model-serving frameworks, containerized GPU workloads, and performance or reliability optimization.
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Responsibilities
- Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
- Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems
- Maintains strict adherence to model governance, security, and compliance standards
- Collaborates with engineers to deliver scalable AI solutions by integrating models that meet both technical and business requirements
- Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms
- Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models
- Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
- Designs and operates scalable production AI systems, integrating ML models, LLMs, and intelligent services across multiple components
- Ensures AI systems adhere to enterprise standards for reliability, safety, explainability, observability, and compliance, mentoring others on best practices
- Designs and operates scalable inference services, including performance, reliability, observability, and production readiness.
- Evaluates serving approaches and optimizes latency, throughput, accelerator utilization, and cost for assigned workloads.
- Partners across platform, infrastructure, security, evaluation, and application teams and mentors less-experienced engineers.
Preferred Qualifications
- Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
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