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A2A Customer Jobs (NOW HIRING)

... Guide customers through the design and governance of enterprise AI initiatives. • Advise on architectures involving AI agents, MCP servers, A2A protocols, LLM gateways, AI security, and agent ...

... customer satisfaction. The North Carolina Department of Transportation (NCDOT) is seeking a PI ... Experience in A2A, B2B and EAI Integrations Coordinate, design and implement solutions from ...

... exceptional customer service, giving back to the communities in which we work and live, and ... Integrateagents with enterprise systems and protocols(MCP servers, A2A protocol, internal APIs)

Senior Forward Deployed Engineer

San Jose, CA · On-site +1

$122K - $168K/yr

Implement A2A integration patterns (APIs, webhooks, event streams, connectors) so customers can plug our AI capabilities into their existing applications and workflows. * Create reusable SDKs ...

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A2A Customer information

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How much do a2a customer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for a2a customer in the United States is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $20.91 per hour, depending on experience, location, and employer.

What are A2A Customers?

A2A Customers refer to 'Account-to-Account' customers, typically in the context of financial services or payment platforms. This term is used to describe clients who use services that allow direct transfers of funds between bank accounts, bypassing intermediaries like card networks. A2A payments are popular for their speed, security, and cost-effectiveness, especially in online banking and digital wallet transactions. Businesses and individuals use A2A services for various purposes, such as bill payments, payroll, or peer-to-peer transfers. Understanding A2A Customers is essential for companies offering or supporting direct account transfer solutions.

What are some common challenges A2A Customer Service Representatives face when managing account-to-account transactions?

A2A Customer Service Representatives often encounter challenges such as handling transaction discrepancies, navigating complex banking systems, and ensuring compliance with financial regulations. They must quickly resolve issues while maintaining high levels of accuracy and customer satisfaction. Additionally, they work closely with both internal teams and customers to ensure smooth transaction processing and to address any concerns or questions that arise. Adapting to new technologies and evolving security protocols is also a key part of the role.

What is the difference between A2A Customer vs A2A Customer Service Representative?

AspectA2A CustomerA2A Customer Service Representative
CredentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma; customer service training often preferred
Work EnvironmentField or office-based, interacting directly with customersOffice or call center setting, handling customer inquiries
Employer & IndustryUtility companies, energy providersUtility companies, energy providers
Job FocusManaging customer accounts, billing, and service issuesResponding to customer questions, resolving complaints

The main difference is that an A2A Customer typically manages accounts and handles complex service issues directly with customers, often in the field or office. An A2A Customer Service Representative primarily responds to inquiries and provides support in a call center or office environment. Both roles require similar credentials and industry experience but differ in scope and daily responsibilities.

What are the key skills and qualifications needed to thrive as an Account-to-Account (A2A) Customer Specialist, and why are they important?

To thrive as an A2A Customer Specialist, you need a solid understanding of payment processing, banking operations, and financial compliance, often requiring experience in finance or a related degree. Familiarity with payment platforms, transaction monitoring software, and regulatory systems like KYC/AML tools is typically expected. Strong problem-solving skills, attention to detail, and effective communication are essential for delivering excellent customer support and resolving transaction issues. These skills are crucial to ensure smooth, secure transactions while maintaining customer trust and regulatory compliance.

Enterprise Digital & Agentic AI Architect

Purple Drive Technologies

Reston, VA • On-site

$71.75 - $92.50/hr

Full-time

Posted 9 days ago


Job description

Overview:
Enterprise Digital & Agentic AI Architect (Product & Cloud Platforms)
Job Summary
We are seeking a highly experienced Enterprise Digital & AI Architect to lead the design and delivery of AI-first, cloud-native, product-centric platforms. This role focuses on building Agentic AI-driven enterprise ecosystems, modernizing legacy systems, and enabling scalable digital platforms across BSS/OSS and enterprise domains.
Key Responsibilities
Product & Architecture Leadership
  • Define and drive end-to-end enterprise architecture vision across products, platforms, and AI systems
  • Lead transformation from legacy systems to cloud-native, composable architectures
  • Act as a trusted advisor to business, product, and engineering stakeholders
Agentic AI Architecture
  • Design and implement Agentic AI solutions using:
    • ADK (Agent Development Kit)
    • A2A (Agent-to-Agent communication)
    • MCP (Model Context Protocol)
  • Build autonomous and semi-autonomous AI agents for enterprise use cases
  • Integrate AI agents with enterprise platforms, APIs, and digital channels
Cloud & Integration
  • Architect solutions on cloud platforms (GCP preferred, AWS/Azure acceptable)
  • Design API-led, event-driven, and streaming architectures
  • Define integrations across:
    • CRM
    • Order Management
    • Billing
    • Inventory
    • Payments
    • Identity systems
Digital Product Engineering
  • Own architecture for B2C / B2B / B2B2X digital journeys
  • Embed:
    • AI-driven personalization
    • Analytics & A/B testing
    • Performance and scalability (SLOs)
Delivery & Execution
  • Lead architecture workshops and solution design discussions
  • Drive PoCs, pilots, and enterprise-scale AI implementations
  • Collaborate with engineering, DevOps, data science, and platform teams
Governance & Quality
  • Ensure solutions meet security, scalability, and performance standards
  • Apply CBVA (Customer Business Value Architecture) for measurable outcomes
  • Define architecture governance and best practices
Required Skills
Core Architecture
  • 12+ years in enterprise architecture, product engineering, and solution design
  • Strong experience in:
    • Distributed systems & cloud-native architecture
    • BSS/OSS ecosystems
    • Enterprise integration patterns
Agentic AI & GenAI
  • Hands-on with:
    • Agentic AI architectures
    • ADK, MCP, A2A frameworks
    • Google Agentic ecosystem (Gemini, Vertex AI)
  • Experience designing:
    • AI agents
    • Intelligent workflows
    • Autonomous systems
Cloud & Data
  • Expertise in GCP (preferred), AWS, or Azure
  • Experience with:
    • Streaming (Kafka, Pub/Sub)
    • Databases (SQL/NoSQL)
    • Data-driven architectures
Integration & Standards
  • API-led architecture, microservices, event-driven systems
  • Knowledge of:
    • TMF, MEF, ITIL, IETF, IEEE standards
Leadership Skills
  • Strong stakeholder management
  • Experience leading large, distributed teams
  • Ability to balance strategy + hands-on architecture
Preferred Skills
  • Telecom domain experience (BSS/OSS)
  • AI-driven analytics and automation use cases
  • Experience with enterprise product platforms
Experience Required
  • 12+ years overall IT experience
  • 5+ years in product/enterprise architecture