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A2A Customer Jobs (NOW HIRING)

Adobe

Lead Customer Facing Applied AI Engineer

San Jose, CA · On-site +1

$120K - $158K/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 ...

Adobe

Lead Customer Facing Applied AI Engineer

San Jose, CA · On-site +1

$120K - $158K/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 ...

Adobe

Lead Customer Facing Applied AI Engineer

Seattle, WA · On-site +1

$116K - $153K/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 ...

Adobe

Senior Customer Facing Applied AI 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 ...

Adobe

Lead Customer Facing Applied AI Engineer

San Jose, CA · On-site

$120K - $158K/yr

Responsibilities : • Implement A2A integration patterns (APIs, webhooks, event streams, connectors) so customers can plug our AI capabilities into their existing applications and workflows. • ...

Adobe

Senior Customer Facing Applied AI Engineer

Seattle, WA · On-site +1

$118K - $163K/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 8, 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 does A2A stand for?

A2A in the context of a customer service role typically stands for 'Account to Account,' referring to processes that involve managing customer accounts and transactions. It often relates to financial or billing systems where accurate data handling and communication skills are important.

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.
Infographic showing various A2A Customer job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $39,098 per year, or $18.8 per hour.

Enterprise Digital Build & AI-Architect - Agentic AI, ADK, A2A, MCP

Talent Search PRO

Reston, VA • On-site

$72/hr

Contractor

Posted 23 days ago

Job description

Enterprise Digital Build & AI-Architect
Total Exp: 12- 14 Years
NOTE- MUST HAVE .NET EXP. Please share new profiles with exp in .Net
Must Have Technical/Functional Skills
Core Architecture & Product Engineering
• 12+ years of experience across architecture, product design, development, integration, and enterprise-scale solution delivery.
• 5+ years of experience in Product-centric architecture, driving platform-based and domain-aligned product models.
• Strong experience architecting and designing large-scale, distributed, cloud-native enterprise solutions.
• Proven expertise in BSS/OSS ecosystems, enterprise digital platforms, and complex system integrations.
Agentic AI & Intelligent Systems (Key Enhancement)
• Expert in Agentic AI architectures, including autonomous and semi-autonomous agents for enterprise use cases.
• Hands-on experience with ADK (Agent Development Kit) for designing, orchestrating, and governing intelligent agents.
• Strong understanding of A2A (Agent-to-Agent) communication patterns, collaboration, and workflow orchestration.
• Experience implementing MCP (Model Context Protocol) for agent grounding, tool usage, memory, and secure context exchange.
• Deep familiarity with the Google Agentic AI ecosystem, including Gemini models, Vertex AI, agent frameworks, and tool integrations.
• Experience applying CBVA (Customer / Cognitive Business Value Architecture) principles to translate AI capabilities into measurable business outcomes.
Digital, Cloud & Integration
• Expertise in cloud platforms (GCP preferred; AWS/Azure acceptable) with focus on AI-native and data-driven architectures.
• Strong experience with API-led, event-driven, and streaming architectures.
• Define integration patterns across CRM, Order Management, Billing, Inventory, Payments, Identity, and Partner ecosystems.
• Knowledge of enterprise and industry standards such as TMF, MEF, ITIL, IETF, IEEE is highly desirable.
Product, Analytics & Experience
• Own architecture vision for B2C / B2B / B2B2X product journeys including acquisition, onboarding, fulfillment, and lifecycle management.
• Embed AI-driven personalization, analytics, experimentation (A/B), accessibility, and performance SLOs into digital products.
• Enable sales and operations productivity using AI agents for lead scoring, recommendations, forecasting, and automation.
Roles & Responsibilities
Product & Technology Leadership
• Define and own the end-to-end Product & Technology architecture vision, aligning business capabilities, products, platforms, and AI systems.
• Act as a trusted advisor to business leaders, product owners, and engineering teams on AI-first and product-centric transformation.
• Drive modernization from traditional systems to agent-enabled, composable, and platform-driven architectures.
Agentic AI Solution Architecture
• Design and govern enterprise-grade Agentic AI solutions, including agent roles, autonomy boundaries, safety, observability, and compliance.
• Define reference architectures using ADK, MCP, and A2A patterns for scalable, secure, and interoperable agent ecosystems.
• Lead PoCs, pilots, and production rollouts of AI agents integrated with enterprise systems and digital channels.
Delivery & Execution
• Engage across the full lifecycle—from intake and discovery to architecture, delivery, and optimization—to ensure solutions align with enterprise standards.
• Facilitate architecture and design workshops; translate business problems into product and AI-enabled system designs.
• Collaborate with platform architects, engineering leads, data scientists, and DevOps teams to ensure cohesive execution.
Governance, Quality & Value Realization
• Ensure solutions are secure, operable, maintainable, and scalable, meeting non-functional requirements (performance, reliability, security).
• Apply CBVA-driven metrics to track ROI, adoption, productivity, and business impact of AI and product initiatives.
• Mentor teams and influence architectural best practices across product, cloud, and AI domains.
Generic Managerial Skills, If any
• Strong stakeholder management with the ability to communicate effectively at executive, product, and engineering levels.
• Proven experience leading large, matrixed, multi-vendor teams.
• Ability to balance strategic vision with hands-on architectural depth.
Key Words to search in Resume
• Agentic AI, ADK, A2A, MCP, Google Agentic Ecosystem, Gemini, Vertex AI, Product Architecture, Enterprise Architecture, AI Agents, BSS, OSS, Digital Platforms, CBVA, Cloud-Native, API-led Architecture.
Pre-Screening Questionnaire
• Describe your experience designing and delivering Agentic AI solutions in an enterprise environment.
• What frameworks or toolkits (ADK, MCP, A2A) have you used to build and govern AI agents?
• How have you applied CBVA or value-based architecture to measure business impact of AI or product initiatives?
• Experience architecting large-scale product platforms integrated with BSS/OSS and digital channels.