Agentic AI Website Project Manager & Lead Architect

We are seeking an experienced Agentic AI Website Project Manager and Lead Architect to lead the design, architecture, development, and implementation of an enterprise agentic AI web platform.

This position combines technical architecture, AI application design, user experience, systems integration, and project leadership. The Lead Architect will be responsible for translating business and workflow requirements into an intuitive agentic web experience connected to NVIDIA A100 GPU-based LLM services operating within an Oracle Cloud Infrastructure (OCI), Oracle Database, and Linux environment.

The successful candidate should be capable of working across front-end architecture, agentic middleware, visualization, workflow integration, APIs, AI inference services, and enterprise infrastructure while coordinating closely with AI engineers, Oracle database engineers, infrastructure engineers, application developers, and business stakeholders.

Key Responsibilities

Agentic AI Website Architecture

• Lead the overall architecture, design, and implementation of an agentic AI website/platform.
• Define how users interact with AI agents, LLM services, enterprise data, documents, reports, and existing workflow applications.
• Design agentic user experiences that support:
• Natural-language chat and queries
• AI-assisted workflow execution
• Multi-step agentic processes
• Document and data selection
• Dynamic reports and summaries
• Structured data extraction and presentation
• Human review and approval
• Sharing and exporting results
• Develop scalable architectural patterns for connecting the user interface with AI middleware, enterprise databases, and backend processing services.
• Establish technical standards for application components, APIs, data exchange, security, and AI service integration.

AI / NVIDIA GPU Integration

• Architect front-end and middleware integration with NVIDIA A100 GPU-based LLM infrastructure.
• Work closely with AI engineers to define APIs and service interfaces between the agentic website and LLM inference environment.
• Design user interactions that can initiate and manage complex AI tasks while providing appropriate status, progress, results, and exception handling.
• Support integration of multiple AI agents, models, tools, prompt libraries, and inference services.
• Help optimize application architecture for LLM latency, concurrency, reliability, and user experience.

Oracle Cloud & Enterprise Architecture

• Design the application to operate within an Oracle Cloud Infrastructure (OCI) environment.
• Work closely with Synodex’s Oracle engineers on integration with Oracle Database, OCI Compute, networking, storage, security, and application services.
• Understand architectural requirements associated with private and public cloud subnets and secure communications between application, database, middleware, and GPU tiers.
• Ensure appropriate separation between web, application, database, and AI processing environments.
• Participate in architecture decisions concerning scalability, availability, disaster recovery, performance, and security.

Website, UX & Data Visualization

• Lead development of a modern, intuitive interface for complex AI and data-driven workflows.
• Select and implement appropriate data visualization technologies and frameworks.
• Design interactive:
• Dashboards
• Timelines
• Charts and graphs
• Data tables
• Medical or business data visualizations
• Workflow status displays
• AI-generated reports
• Incorporate advanced graphics and visualization capabilities where they improve interpretation of complex information.
• Establish consistent user-interface standards across workflows, reports, chat, dashboards, and data views.
• Ensure that complex AI functionality is presented to users in a simple and understandable manner.

Workflow Software Integration

• Architect integration between the agentic platform and existing workflow software and enterprise applications.
• Define APIs and interfaces for exchanging documents, data, workflow status, assignments, results, and reports.
• Design workflows in which AI agents can initiate or support actions while maintaining appropriate human review and control.
• Work with existing development teams to minimize disruption to established production applications.
• Support REST APIs, web services, messaging, and other enterprise integration technologies.

Linux, Java & Application Environment

• Maintain a strong working understanding of Linux-based application environments.
• Work effectively with Java-based enterprise applications and middleware.
• Participate in technical decisions involving application servers, services, APIs, containers, and deployment architecture.
• Work with engineering teams to troubleshoot integration and performance issues across application, middleware, database, and AI components.

Project Management & Technical Leadership

• Serve as the primary technical leader for the agentic AI website project.
• Develop and maintain the project architecture, implementation roadmap, milestones, dependencies, and technical priorities.
• Translate business requirements into technical specifications and development workstreams.
• Coordinate activities across:
• AI/LLM engineers
• Oracle database engineers
• OCI infrastructure engineers
• Front-end developers
• Java/application developers
• UX and graphics resources
• Data visualization developers
• Security personnel
• Existing workflow software teams
• Lead technical design reviews and resolve architectural issues affecting multiple teams.
• Identify project risks, integration dependencies, performance constraints, and security requirements early in the development lifecycle.
• Maintain appropriate technical documentation, architecture diagrams, interface specifications, and implementation standards.

Required Qualifications

• Minimum 3 years of relevant professional experience designing and implementing agentic AI websites, AI-enabled enterprise applications, generative AI platforms, or closely related systems.
• Demonstrated experience leading the architecture or implementation of an agentic AI or LLM-enabled web application.
• Strong understanding of agentic AI application architecture, including interaction between: Web applications, AI agents, LLMs, Middleware, APIs, Databases, Enterprise workflow applications.
• Knowledge of integrating AI applications with NVIDIA A100 or comparable GPU-based LLM infrastructure.
• Knowledge of Oracle Cloud Infrastructure and Oracle Database environments.
• Working knowledge of Linux.
• Working knowledge of Java-based enterprise applications.
• Experience with modern data visualization tools and frameworks.
• Experience designing sophisticated graphical user interfaces for data-intensive applications.
• Experience integrating new applications with existing enterprise workflow software.
• Strong project management and technical leadership capabilities.

Preferred Technical Experience

• Agentic AI frameworks and multi-agent architectures
• LLM inference and orchestration frameworks
• NVIDIA A100 GPU environments
• Oracle Cloud Infrastructure (OCI)
• Oracle Database
• REST APIs and microservices
• Modern JavaScript/TypeScript web frameworks
• React or comparable front-end technologies
• Data visualization libraries and dashboard frameworks
• Docker and Kubernetes
• API gateways and enterprise integration technologies
• Authentication, authorization, encryption, and secure application architecture
• CI/CD and modern software development practices

Collaboration & Team Fit

This position requires an individual who can operate effectively as the architectural bridge between the user experience and the underlying AI and enterprise infrastructure.

The candidate must work particularly well with AI/LLM engineers, Oracle Database engineers, OCI infrastructure personnel, Java/application developers, and workflow software teams.

Strong candidates will be collaborative rather than territorial about architecture and should be comfortable incorporating specialized recommendations from AI, database, infrastructure, security, and application engineers into the overall platform design.

Excellent communication skills are required, including the ability to explain complex architectural decisions to both technical and non-technical stakeholders.

Ability to work with staff in multiple countries and cultures.

Ideal Candidate

The ideal candidate combines the capabilities of a Solution Architect, AI Application Architect, UX/Visualization Architect, and Technical Project Manager.

Rather than focusing exclusively on either front-end development or AI model development, this individual should understand the complete architecture:

User → Agentic Website → Workflow/Agent Orchestration → AI Middleware → NVIDIA A100 LLM Services → Oracle Database & Enterprise Systems

The successful candidate will take ownership of making these components operate as a cohesive, secure, scalable, and intuitive enterprise AI platform.