AI Technical Architect Lead

Key Responsibilities

• 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, and 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.
• Partner & Ecosystem Engagement 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.
• Technical Leadership & Mentorship 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.

Qualifications

• 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.

Nice To Have Qualifications & Competencies

• 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.