AI-Architect & Enterprise Digital Build

Job Overview

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 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; 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 have .NET experience.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Additional Details

• Relocation assistance: No
• Visa sponsorship eligibility: No