AI-Architect & Enterprise Digital Build

Jobs Mediator•Reston, VA

1d•Onsite

About The Position

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.

Requirements

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.
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.
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.
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.
Total experience: 12-14 years.
Mid-senior level.
.NET experience.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

Knowledge of TMF, MEF, ITIL, IETF, IEEE desirable.

Responsibilities

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.
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.
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.
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.
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.