Enterprise Digital Build & AI-Architect

Reston, VA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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 lifecyclefrom intake and discovery to architecture delivery and optimizationto 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.
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.

Must Have Technical/Functional SkillsCore 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 prod...

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 lifecyclefrom intake and discovery to architecture delivery and optimizationto 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.
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.