Remote AI Solution Architect (Fully Remote)

Description:

• We are seeking an AI Architect with expertise in Copilot Studio to design, implement, and scale AI-driven conversational solutions.
• The ideal candidate will define AI architectures, integrate large language models, and ensure enterprise-grade deployment of AI chatbots.
• The role involves defining AI solution architectures leveraging Copilot Studio, Azure AI, and OpenAI services.
• The candidate will lead the design and implementation of enterprise-grade chatbots and AI assistants.
• Responsibilities include architecting multi-bot orchestration with Copilot Studio, Azure Bot Service, and custom AI components.
• The architect will develop security, compliance, and governance models for AI-driven applications.
• Establishing best practices for prompt engineering, RAG architectures, and multi-agent AI is essential.
• The role requires driving integration strategies for AI chatbots with enterprise systems such as SAP, SNOW, Databricks, CRM, SharePoint, SQL, and API Gateways.
• The candidate will oversee AI performance monitoring, analytics, and continuous learning strategies.
• Collaboration with stakeholders to align AI roadmaps with business objectives is necessary.
• The architect will guide development teams on Copilot Studio’s extensibility, plug-ins, and automation workflows.
• Evaluating and recommending new AI technologies, frameworks, and MLOps/LLMOps tools is part of the job.
• The candidate should have experience with Copilot Studio (advanced workflows, orchestration, multi-bot integration, telemetry) and Azure AI & OpenAI (GPT models, embeddings, cognitive search, AI orchestration).
• Enterprise AI architecture experience in Azure is required.
• Familiarity with conversational AI frameworks such as Azure Bot Framework, Dialogflow, and LangChain is necessary.
• Strong API design and integration knowledge is essential.
• The candidate should possess data engineering and knowledge retrieval expertise in RAG architectures.
• Understanding security and governance in AI applications is important.
• The role involves cloud-native AI deployment using microservices, containers, or serverless technologies.
• Hands-on experience with Power Platform, Power Automate, and low-code AI solutions is required.
• The candidate should have 12 to 16 years of experience in the field.
• Experience in Copilot extensibility, connectors, plugin development, and adaptive UX is necessary.
• Knowledge of multi-agent AI architectures is required.
• Familiarity with DynamoDB, CosmosDB, or knowledge graphs for AI data structuring is beneficial.
• Experience in AI ethics, bias mitigation, and responsible AI development is important.

Requirements:

• The candidate must define AI solution architectures leveraging Copilot Studio, Azure AI, and OpenAI services.
• Leading the design and implementation of enterprise-grade chatbots and AI assistants is a requirement.
• The architect must architect multi-bot orchestration with Copilot Studio, Azure Bot Service, and custom AI components.
• Developing security, compliance, and governance models for AI-driven applications is essential.
• Establishing best practices for prompt engineering, RAG architectures, and multi-agent AI is required.
• The candidate must drive integration strategies for AI chatbots with enterprise systems such as SAP, SNOW, Databricks, CRM, SharePoint, SQL, and API Gateways.
• Overseeing AI performance monitoring, analytics, and continuous learning strategies is necessary.
• Collaboration with stakeholders to align AI roadmaps with business objectives is required.
• The architect must guide development teams on Copilot Studio’s extensibility, plug-ins, and automation workflows.
• Evaluating and recommending new AI technologies, frameworks, and MLOps/LLMOps tools is a requirement.
• The candidate should have experience with Copilot Studio, Azure AI, and OpenAI services.
• Enterprise AI architecture experience in Azure is mandatory.
• Familiarity with conversational AI frameworks such as Azure Bot Framework, Dialogflow, and LangChain is required.
• Strong API design and integration knowledge is essential.
• The candidate must possess data engineering and knowledge retrieval expertise in RAG architectures.
• Understanding security and governance in AI applications is important.
• The role requires cloud-native AI deployment using microservices, containers, or serverless technologies.
• Hands-on experience with Power Platform, Power Automate, and low-code AI solutions is required.
• The candidate should have 12 to 16 years of experience in the field.
• Experience in Copilot extensibility, connectors, plugin development, and adaptive UX is necessary.
• Knowledge of multi-agent AI architectures is required.
• Familiarity with DynamoDB, CosmosDB, or knowledge graphs for AI data structuring is beneficial.
• Experience in AI ethics, bias mitigation, and responsible AI development is important.

Benefits:

• The position offers a fully remote work environment.
• It is a long-term contract/full-time opportunity.
• The role provides the chance to work with cutting-edge AI technologies and frameworks.
• The candidate will have the opportunity to lead innovative AI projects and solutions.
• There is potential for professional growth and development in the field of AI architecture.
• The position allows for collaboration with diverse teams and stakeholders across the organization.