AI and Intelligent Automation Architect

This is a fully remote position, open to applicants in Georgia.

📋 Description

• Establish and enforce architecture patterns, development standards, naming conventions, and reusable component libraries across the CoE.

• Perform architecture and code reviews for all solutions prior to production deployment.

• Spearhead the enterprise strategy for Agentic AI, which includes agent architecture patterns, orchestration frameworks, safety guardrails, MCP Server ecosystem, A2A communication standards, and API Gateway configurations.

• Design RAG pipelines that link enterprise knowledge sources to LLM-powered applications.

• Define IDP architecture patterns, document profiling, model training pipelines, human-in-the-loop workflows, and standards for downstream integration.

• Oversee platform governance for CoE tooling, Orchestrator/Control Room, IDP platforms, AI services, and MCP Server infrastructure.

• Assess and recommend platforms, models, and protocols, advising leadership on readiness for adoption.

• Maintain the CoE component and accelerator library.

• Mentor engineers, developers, and data scientists to enhance team technical capabilities.

• Collaborate with Information Security and IT Architecture on standards for security, privacy, and governance.

• Manage supervised learning pipelines for IDP model training, including the curation of ground truth and model retraining.

• Report directly to the Sr. Manager Delivery/Program.

⛳️ Requirements

• A Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent work experience.

• An advanced certification in UiPath, Automation Anywhere, or Blue Prism is mandatory.

• A minimum of 10 years of experience in Intelligent Automation, AI, or enterprise architecture.

• At least 3 years in a lead architect or practice lead role.

• Advanced proficiency in UiPath, Automation Anywhere, and Blue Prism.

• Experience with IDP platforms such as ABBYY FlexiCapture, Azure AI Document Intelligence, UiPath Document Understanding, and Rossum.

• Extensive knowledge in LLM integration, prompt engineering, agentic AI system design, and generative AI application development.

• Background in building multi-agent orchestration systems, MCP Server integrations, and A2A protocol implementations.

• Proficiency in vector databases, embedding models, RAG pipeline design, and API Gateway platforms.

• Familiarity with LangChain, AutoGen, Semantic Kernel, NIST AI RMF, and ISO 42001.

• Expert-level knowledge of RPA architecture, UiPath Studio/Orchestrator/REFramework, Automation Anywhere A360, Blue Prism, and Microsoft Power Automate.

• Expertise in configuring OCR engines, designing document classification models, supervised learning pipelines, and human-in-the-loop workflows.

• Experience in conducting architecture and code reviews while enforcing quality gates.

• Capability to collaborate on AI and Privacy Impact Assessments, risk scoring, and enterprise security reviews.

• Strong executive communication, analytical, and systems-thinking abilities.

• Willingness to work after hours, on weekends, holidays, and be on call as required.

• Ability to work remotely from anywhere within the United States; the selected candidate must be onsite for the first day for onboarding.

🏝️ Benefits

• Generous paid time off policy.

• Medical benefits.

• Dental benefits.

• Retirement benefits.

• Wellness programs.

• Professional development initiatives to enhance staff skills.

• Minimal travel requirements (0–10%).