AI Technical Architect Lead

We are seeking an AI Lead to drive the design, delivery, and scale-out of enterprise-grade AI and agentic automation solutions. This role blends hands-on technical leadership with customer-facing pre-sales and solution advisory responsibilities. The AI Lead will own end-to-end AI/ML delivery, lead the development of agent-based solutions leveraging Microsoft Copilot, LangChain, Python, and UiPath’s next-generation automation stack, and act as a trusted technical advisor to customers, partners, and internal stakeholders. This role is ideal for practitioners who combine deep engineering capability, strong architectural thinking, and consulting-grade communication skills.

• Lead end-to-end delivery of AI/ML and agent-based automation programs—from discovery and design through build, deployment, and production support.
• Architect and implement agentic AI solutions using:
• Microsoft Copilot and Copilot Studio
• LangChain-based frameworks and LLM orchestration
• Python-based AI/ML and automation components
• UiPath’s next-generation automation and AI capabilities such as Agents, IXP, and Communications Mining
• Design scalable, secure, and governable AI architectures aligned with enterprise standards.
• Ensure delivery excellence across performance, reliability, security, compliance, and cost optimization.

• Build and lead development of Copilot-based agents integrated with enterprise systems (Microsoft 365, Azure, Foundry, custom APIs).
• Define best practices for prompt engineering, agent orchestration, memory management, and tool invocation.
• Guide teams on responsible AI, data governance, and enterprise adoption patterns for Copilot and LLM-based agents.

• Lead delivery of UiPath-based intelligent automation solutions, including:
• AI-driven workflows and agent-assisted automation
• Integration of RPA with LLMs and decision intelligence
• Define reusable frameworks, accelerators, and reference architectures for next-generation automation.
• Partner with UiPath teams on roadmap alignment, enablement, and innovation initiatives.

• Act as a technical leader in pre-sales engagements, including:
• Customer discovery and technical workshops
• Solution architecture and value articulation
• Effort estimation, delivery planning, and risk assessment
• Contributions to proposals, SOWs, and pricing models
• Support sales teams in positioning AI-led solutions that deliver measurable business outcomes.
• Translate complex AI concepts into clear, business-oriented narratives for executive stakeholders.

• Collaborate with technology partners (e.g., Microsoft, UiPath, cloud providers) on:
• Joint solutions and co-innovation initiatives such as webinars, roadshows, demos, and solution-building
• Enablement, certifications, and best-practice adoption
• Partner-led customer engagements and pursuits
• Stay current with partner roadmaps and emerging AI capabilities.

• Provide hands-on technical leadership to AI and automation engineers across the globe, including offshore teams.
• Establish coding standards, architecture guidelines, and delivery best practices.
• Mentor team members across AI/ML, agent development, and automation.
• Contribute to internal IP creation, accelerators, and thought leadership.

• 8+ years of overall experience in software engineering, automation, or AI-led delivery
• 3+ years in a lead or manager role, owning delivery and technical direction
• Strong hands-on experience with Python for AI/ML, automation, and backend development
• Proven experience building LangChain-based agents or similar LLM orchestration frameworks
• Experience with Microsoft Copilot, Copilot Studio, or Azure OpenAI-based solutions
• Solid understanding of LLMs, prompt engineering, embeddings, vector databases, and agent orchestration patterns
• Familiarity with API integrations, cloud platforms (Azure preferred), and enterprise security models

• Experience with UiPath (RPA, AI Center, or next-gen automation capabilities preferred)
• Experience in consulting or client-facing delivery environments
• Proven track record supporting pre-sales and solutioning activities

• Experience in regulated or enterprise domains (Financial Services, Healthcare, Manufacturing, Life Sciences, etc.)
• Exposure to MLOps, model lifecycle management, and AI governance frameworks
• Microsoft, UiPath, or cloud certifications
• Experience building reusable AI frameworks or internal accelerators