The Senior AI Agent / ML Engineering Manger role is a hands-on technical leadership role responsible for defining, building, and operating next-generation AI…

…management certifications (PMP, PgMP, SAFe) - Experience managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams - Experience with AI/ML…

…As a Senior Machine Learning Engineer on the Trust Frontier AI team, you will actively contribute code and ideas that shape the next generation…

…engineer, ML engineer, or solutions architect. Professional experience actually building software, and current hands-on experience with agentic developer tooling and coding agents. Strong…

…on practitioner in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with…

…Proven ability to define and enforce clean code standards and software engineering best practices across teams. Experience mentoring and developing senior-level data scientists…

…building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage…

…As a Senior Product Manager, you will build the next generation of Unified Index Platform (UIP) which is being used for featurizing, filtering and…

…software engineering, with at least 4 years in an Engineering Director role with experience managing managers. - Deep technical expertise in the AI/ML domain…

…across Product Engineering, AI Platform, and Data & ML Platform teams. WHAT YOU’LL BE DOING As a Senior Applied AI Engineer you will: - Build…

…AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models…

…In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at…

…REPRESENTATIVE PROBLEMS YOU MAY LEAD: - Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and…

…Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking…

…based detection, automated response, and agentic AI. The team is composed of applied scientists, software engineers, and security engineers working across physical and digital…

…Key job responsibilities - Work with audit teams, product managers, engineers, and more senior scientists to deliver machine learning and generative AI products that carry…

…multi-agent orchestration systems with dependency management, parallel execution, and failure handling - - Experience designing observability and instrumentation systems for production ML or AI workloads…

…based detection, automated response, and agentic AI. The team is composed of applied scientists, software engineers, and security engineers working across physical and digital…

…Experience communicating complex information and solutions to senior stakeholders and influencing decisions - Track record building AI/ML-powered products with measurable quality mechanisms (benchmarks…

…Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping…

…Experience with AI/ML technologies and their application in product development, including familiarity with large language models, multi-agentic workflows, or AI orchestration patterns…

Lead end-to-end architecture and execution across SDLC standards, engineering tooling, and agentic AI operations As a Senior Lead Software Engineer at JPMorgan…

…more disciplines (e.g., cloud, AI/ML, data engineering) Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the…

…Formal training or certification in software engineering, AI/ML engineering, or cloud-native engineering, with experience applying agent-based systems or automation in enterprise…

…AI/ML, Application Development, Cloud, Infrastructure, Mobile, Offensive Security, or Vulnerability Management Extensive cloud-native experience (AWS, Azure, GCP) including Kubernetes, Lambda, ECS, S3…