AI Architect

10Pearls is seeking an experienced AI Architect to design and implement AI agents and automation solutions within the Microsoft ecosystem. This role involves working with both pro-code and low-code platforms, including Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot, and Power Platform. The ideal candidate will focus on selecting the simplest effective solutions, applying custom development only when it adds significant value. The AI Architect will collaborate closely with client stakeholders, lead technical discovery phases, and actively contribute to development within a small, agile team.

Key Responsibilities

- Define comprehensive solution architectures for AI agents, document processing, and workflow automation.
- Evaluate and recommend platform options, including configure, build, or buy decisions across Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot, Power Platform, and third-party tools.
- Develop cost models forecasting license fees, capacity, and token usage for various use cases, including handling long documents.
- Design single and multi-agent AI solutions with clear role definitions, routing mechanisms, tool integrations, and human approval workflows.
- Architect document AI solutions for extraction, parsing, and analysis of lengthy documents such as contracts, incorporating OCR and chunking techniques.
- Collaborate with business analysts and subject matter experts to convert expert knowledge, policies, and standard operating procedures into structured content usable by AI agents.
- Integrate AI solutions with Microsoft 365 services such as Outlook, shared mailboxes, SharePoint, Teams, and Microsoft Graph.
- Assess and design integration strategies for legacy line-of-business systems via APIs, data gateways, or scheduled data exports.
- Ensure AI security by designing defenses against prompt injection, securing files and content, managing access control, audit logging, and data residency compliance.
- Establish evaluation frameworks including datasets, regression testing, confidence thresholds, and accuracy monitoring before and after deployment.
- Confirm readiness by verifying licenses, permissions, access, and environment ownership across development stages prior to build commencement.
- Participate hands-on in prompt engineering, agent configuration, and coding alongside AI and integration engineers.
- Collaborate with business analysts to assess and prepare upcoming use cases while current projects are underway.
- Communicate clearly with business and technical stakeholders, explaining trade-offs, costs, and risks in accessible language.

Required Qualifications

- Minimum of 8 years’ experience in software engineering or solution architecture, with at least 2 years focused on delivering generative AI solutions in production environments.
- Hands-on expertise with Azure AI Foundry, including agent development, model selection, and performance evaluation.
- Practical experience or strong working knowledge of Copilot Studio and Power Automate.
- Solid understanding of Microsoft 365 ecosystem components such as Exchange, SharePoint, Teams, Microsoft Graph, and Entra ID.
- Familiarity with Microsoft AI licensing models, including Copilot, Copilot Studio capacity, and Azure consumption metrics.
- Experience with document extraction and analysis tools like Azure Document Intelligence or equivalents.
- Proficiency in retrieval-augmented generation (RAG), prompt design, agent orchestration, and large language model (LLM) evaluation.
- Awareness of AI security challenges, including prompt injection attacks and data leakage prevention.
- Python programming skills sufficient for prototyping and code review.
- Experience in client-facing consulting or service delivery roles.
- Ability to work overlapping hours with US Eastern Time.

Preferred Qualifications

- Background in contract review, legal technology, or policy-based document verification.
- Experience in manufacturing, print, supply chain, or fulfillment operations.
- Knowledge of integrating ERP, MIS, or other legacy operational systems.
- Familiarity with speech-to-text, video, or knowledge capture tools used for training content.
- Relevant Microsoft certifications such as Azure AI Engineer Associate or Azure Solutions Architect Expert.

This role offers the opportunity to work with cutting-edge AI technologies in a dynamic, global environment, contributing to transformative digital products for leading enterprises and innovative startups.