Senior MTS, AI and Agentic Architect

eBay

. Define architecture for agentic Customer Experience capabilities across models, orchestration, retrieval, tools, workflows, decisioning, policy, evaluation, and human support .

Posted 10/7/2026full-timeUnited StatesSenior💰 $156,800 - $255,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in architecting large-scale distributed systems and AI/ML solutions, with a strong focus on customer experience integration and technical leadership across engineering teams. Proficient in evaluating and implementing modern AI system architectures and ensuring operational excellence in production environments.

Highest-signal resume keywords

AI/ML System ArchitectureLarge-Scale Distributed SystemsCross-Organizational Technical LeadershipPrototyping and Design ReviewsCustomer Experience Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringArchitecting Distributed SystemsAI/ML IntegrationEvent-Driven SystemsData ManagementScalabilityResiliencyObservabilityConversational AITool Use

Soft Skills

Engineering JudgmentTechnical Alignment

Tools & Technologies

APIsWorkflowsCase Management SystemsVoice/IVR Platforms

Industry Keywords

Customer ExperienceContact Center TechnologyGenerative AIOrchestrationIntelligent Workflows

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Define architecture for agentic Customer Experience capabilities across models, orchestration, retrieval, tools, workflows, decisioning, policy, evaluation, and human support
Establish reusable patterns and platform boundaries for AI-enabled experiences
Architect integrations between agents and enterprise knowledge, APIs, tools, workflows, case management, and policy systems
Shape approaches to evaluation, observability, resiliency, latency, model selection, and token and infrastructure costs
Evaluate emerging models, agent frameworks, orchestration approaches, and industry patterns
Validate architecture decisions through prototypes, technical spikes, reference implementations, and design reviews
Lead technical alignment across teams and connect architecture decisions to customer needs, engineering priorities, and long-term platform health

Requirements

What you’ll need

10+ years of software engineering experience
Significant depth designing and architecting large-scale distributed systems and production platforms
Proven experience architecting and shipping AI/ML or Generative AI systems into production
Strong knowledge of modern AI system architecture, including agentic systems, orchestration, tool use, retrieval-based architectures, conversational AI, or intelligent workflows
Deep distributed-systems expertise across APIs and service boundaries, event-driven systems, data and state management, scalability, resiliency, latency, and observability
Hands-on experience integrating AI into complex production environments
Technical depth extending from architecture into implementation
Experience with prototypes, reference implementations, technical investigation, and design or code reviews
Cross-organizational technical leadership across multiple engineering teams
Strong engineering judgment balancing quality, safety, security, performance, operational complexity, and cost at significant scale
Experience with Customer Experience, Customer Service, contact center technology, conversational AI, or voice/IVR platforms is valuable but not required
Remote roles are not eligible for U.S. visa sponsorship

Benefits

Comp & perks

Target bonus
Restricted stock units (as applicable)
Medical benefits
Financial benefits
Other benefits
401(k) eligibility
Paid time off (PTO)
Parental leave