Role Overview
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.
Key Responsibilities:
AI & Agentic Solution Delivery
- 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.
Microsoft Copilot & Agent Development
- 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.
Intelligent Automation & UiPath Next-Gen
- 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.
Pre-Sales & Solution Advisory
- 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
Preferred Qualifications
- 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
What we offer
- A team that’s not just good — we’re high-performing. We support each other, celebrate together, and push boundaries
- A culture of empowerment, ownership, and bold ideas
- The chance to work with cutting-edge AI technologies and strategic partners
- Continuous and ever expanding learning, career development, and growth opportunities
- A front-row seat in a company with ambitious growth plans and a vision to lead the AI revolution
- A place where you can be yourself, make an impact, and help us shape the future
Compensation & Benefits
- Health, Dental and Vision Insurance
- Life insurance
- 401(K)
- Monthly cell phone and internet stipend
- Flexible PTO / Unlimited vacation policy
- Recognition and rewards for individual and team achievements
- Employee referral program with bonus opportunities
Applicants must be authorized to work in the United States for any employer without the need for employment-based sponsorship. At this time, the company does not provide visa sponsorship.
A comprehensive benefits package will be provided and discussed during the interview process. All benefits are subject to change and are governed by formal plan documents and company policies.
This range represents a good-faith estimate at the time of posting and is subject to periodic review. The final offer will be based on factors such as the candidate’s skills, qualifications, experience, and the cost of labor in the specific geographic location where the work will be performed, in accordance with applicable pay transparency laws.
