AI-Architect & Enterprise Digital Build

Job Title: AI-Architect & Enterprise Digital Build

Salary: Very Attractive (Confidential)

Work location: Reston Virginia United States

Work set up: Full-time/Onsite

Job Description:

We are seeking an experienced Enterprise Digital Build & AI Architect to lead the design and delivery of enterprise-scale digital platforms AI-enabled products and agentic AI initiatives. This role requires deep expertise in cloud-native architectures BSS/OSS ecosystems and a product-centric approach to platform design.

Key Qualifications:

Core Architecture & Product Engineering: 12 years across architecture product design development integration and enterprise-scale solution delivery; 5 years in product-centric architecture; strong experience architecting large-scale distributed cloud-native enterprise solutions; proven expertise in BSS/OSS ecosystems enterprise digital platforms and complex system integrations.

Agentic AI & Intelligent Systems: Expert in agentic AI architectures (autonomous and semi-autonomous agents) for enterprise use cases; hands-on experience with ADK for designing orchestrating and governing intelligent agents; understanding of A2A communication collaboration and workflow orchestration; experience implementing MCP for grounding tool usage memory and secure context exchange; familiarity with Google Agentic AI ecosystem (Gemini models Vertex AI agent frameworks tool integrations); applying CBVA principles to translate AI capabilities into measurable business outcomes.

Digital Cloud & Integration: Expertise in cloud platforms (GCP preferred; AWS/Azure acceptable); API-led event-driven and streaming architectures; define integration patterns across CRM Order Management Billing Inventory Payments Identity and Partner ecosystems; knowledge of TMF MEF ITIL IETF IEEE 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; enable sales and operations productivity using AI agents for lead scoring recommendations forecasting and automation.

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 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; meet 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 promote architectural best practices across product cloud and AI domains.

Generic Managerial Skills: Strong stakeholder management with 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.

Experience architecting large-scale product platforms integrated with BSS/OSS and digital channels.

Education & Experience: Total experience: 12-14 years; mid-senior level. Must experience. Bachelors degree in Computer Science Engineering or a related field.

Additional details: Open position:

Relocation assistance: No

Visa sponsorship eligibility: No