AI Technical Architect Lead

Roboyo

15h

About The Position

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.

Requirements

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 Haves

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

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
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.