AI Engineering Director

Direct message the job poster from nTech Workforce

Nagarjuna Donthi

Nagarjuna Donthi

Senior Talent Acquisition Specialist at nTech Workforce

Terms of Employment:

• W2 Contract, Six 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).