AI Platform Architect/Director (Hands-On)

• • • This is a W2 Job • • This is a hands-on AI architecture role. • • Azure AI Foundry, Co-Pilot, Agentic AI - Mandatory Skills Title: AI Platform Engineering Director - Sales AI Ecosystem Terms of Employment: • W2 Contract, 6 Months (High Likelihood for Extension / Permanent Conversion) • This position is 100% remote. Overview & Responsibilities: Work with a leading professional services firm as the Sales Enablement AI Engineering Director. You will serve as the visionary lead and "hands-on" architect for the North American Sales AI Ecosystem. This is a high-stakes, fast-paced initiative designed to transform sales operations—from prospecting to proposal creation—using cutting-edge agentic AI. You will partner closely with the lead platform engineer to deliver a scalable, secure AI infrastructure that leverages the firm’s deep investment in the Microsoft ecosystem. You will… • Design, build, and refine agentic AI tools and ecosystems specifically for sales tasks like research, client insights, and content generation. • Execute the technical build-out using Azure AI Foundry and Microsoft Copilot Studio. • Integrate AI solutions seamlessly with existing enterprise systems, including Dynamics CRM, SharePoint, and Loopio. • Act as a proactive technical advisor, identifying native Microsoft capabilities and out-of-the-box features to accelerate deployment. • Orchestrate development and monitoring workflows with a global support team, including offshore resources in India. • Transition tactical manual efforts into automated AI environments to increase "speed to play" for the business development team. • Document reusable AI patterns and architectures to ensure the ecosystem is scalable and secure. Required Qualifications: • 10+ years of progressive experience in AI, architecture, or technical enablement roles. • Expert-level, hands-on experience with the Microsoft AI stack, specifically Azure AI Foundry and Copilot Studio. • Deep technical proficiency in LLMs, agent design, prompt engineering, RAG architectures, and Python/API orchestration. • Proven track record of moving AI projects from pilot to large-scale enterprise deployment. • Strong understanding of sales environments or professional services landscapes. • Ability to work 100% autonomously in a "hands-on" capacity without immediate coaching/management duties. • Bachelor’s Degree in Computer Science, Data Science, or Engineering (or equivalent experience). Preferred Qualifications: • Master’s degree in a related technical field. • Experience with Salesforce or Dynamics CRM native AI integrations. • Background in change management or leading technical adoption across non-technical business units.