AI Architect

About 10Pearls

10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech.

Headquartered in the Washington DC metro area, 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com.

Role Overview

• We are looking for a hands-on AI Architect to design and deliver AI agents and automation across the Microsoft ecosystem.
• The role covers both pro-code and low-code options. This includes Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot and Power Platform.
• We expect the architect to choose the simplest option that meets the needs. Custom development should be used where it adds clear value.
• The architect will work directly with client stakeholders, lead technical discovery and contribute to the build within a small team.

Responsibilities

• Solution architecture. Define end-to-end architectures for AI agents, document processing and workflow automation.
• Platform selection. Recommend configure, build or buy options across Foundry, Copilot Studio, Microsoft 365 Copilot, Power Platform and third-party tools.
• Cost modelling. Forecast license, capacity and token costs for each use case, including long documents.
• Agent design. Design single and multi-agent solutions with clear roles, routing, tool use and human approval steps.
• Document AI. Design extraction, parsing and analysis for long documents such as contracts, including OCR and chunking.
• Knowledge grounding. Work with the BA and SMEs to turn expert knowledge, policies and SOPs into structured content that agents can use reliably.
• Microsoft 365 integration. Integrate with Outlook and shared mailboxes, SharePoint, Teams and Microsoft Graph.
• Legacy integration. Assess and design access to line-of-business systems through APIs, data gateways or scheduled exports.
• AI security. Design for prompt injection defense, file and content safety, access control, audit logging and data residency.
• Evaluation and quality. Set up evaluation datasets, regression suites, confidence thresholds and accuracy tracking before and after go-live.
• Readiness and environments. Confirm licenses, permissions, access and environment ownership across development stages before build starts.
• Hands-on delivery. Contribute to prompts, agent configuration and code alongside the AI and integration engineers.
• Pipeline preparation. Assess upcoming use cases with the BA while current work is in build.
• Stakeholder communication. Explain trade-offs, cost and risk to business and technical stakeholders in plain language.

Requirements

• 8 or more years in software engineering or solution architecture, with at least 2 years delivering generative AI solutions in production.
• Hands-on experience with Azure AI Foundry, including agents, model selection and evaluation.
• Hands-on or strong working experience with Copilot Studio and Power Automate.
• Good understanding of Microsoft 365, including Exchange, SharePoint, Teams, Graph and Entra ID.
• Working knowledge of Microsoft AI licensing, including Copilot, Copilot Studio capacity and Azure consumption.
• Experience with document extraction and analysis, including Azure Document Intelligence or similar tools.
• Practical experience with RAG, prompt design, agent orchestration and LLM evaluation.
• Understanding of AI security risks, including prompt injection and data leakage.
• Python skills sufficient to prototype and review code.
• Experience in client-facing consulting or services delivery.
• Able to work regular overlap hours with US Eastern time.

Preferred qualifications

• Experience with contract review, legal tech or policy-based document checking.
• Experience with manufacturing, print, supply chain or fulfillment operations.
• Integration with ERP, MIS or other legacy operational systems.
• Experience with speech-to-text, video or knowledge capture tools for training content.
• Microsoft certifications such as Azure AI Engineer Associate or Azure Solutions Architect Expert.