Digital - Forward Deployed Engineer (FDE) - Manager

Solution Architecture & Technical Leadership

• Lead end-to-end solution design for intelligent automation and AI initiatives, translating complex business requirements into scalable, enterprise-grade architectures.
• Serve as the primary technical authority in client-facing solutioning discussions, leading discovery workshops, architecture reviews, and executive presentations.
• Architect AI-powered solutions integrating generative AI, Retrieval-Augmented Generation (RAG) and AI agents and multi-agent systems into automation workflows and enterprise processes.
• Establish technical standards, reusable frameworks, and delivery playbooks that elevate quality and accelerate time-to-value across engagements.
• Evaluate emerging automation and AI technologies and advise clients and internal teams on adoption of roadmaps and build-versus-buy decisions.
• Design and oversee workflow automation solutions using UiPath and Microsoft Power Platform, ensuring alignment with client technology ecosystems and governance standards.

Team Leadership & Delivery Oversight

• Manage and mentor cross-functional project teams of Associates and Analysts, fostering a culture of technical excellence, accountability, and continuous learning.
• Own project governance across multiple concurrent workstreams, including scope management, risk identification and mitigation, milestone tracking, and status reporting.
• Conduct regular code and design reviews, ensuring solutions meet performance, security, maintainability, and compliance standards.
• Lead stakeholder management activities, including structured communications with C-suite sponsors, operational leadership, and IT partners throughout engagement lifecycles.
• Contribute to performance management, career development planning, and skills growth for junior team members.

Client Engagement & Business Development

• Build and sustain trusted advisor relationships with client leadership, identifying expansion opportunities and contributing to account growth strategies.
• Support proposals, RFP responses, and client presentations by developing solution narratives, scope estimates, and delivery approach documentation.
• Contribute to Huron's Intelligent Automation and AI go-to-market strategy, including thought leadership content, internal training, and practice capability development.

Required Qualifications

• 5–8 years of progressive experience in digital consulting, intelligent automation, or AI solution delivery, including ownership of multiple concurrent client engagements.
• Demonstrated experience architecting and delivering AI-powered solutions at enterprise scale.
• Hands-on experience designing and implementing AI/ML-powered workflows, including practical application of Generative AI and LLMs (GPT, Claude, Gemini, Llama), Prompt engineering and prompt optimization, AI agents and multi-agent systems in enterprise settings.
• Demonstrated experience building and deploying production solutions with UiPath and/or Microsoft Power Platform.
• Prominent track record of leading and developing project teams of 3 or more in a consulting or professional services environment.
• Strong stakeholder management skills with the ability to translate technical concepts for executive and non-technical audiences.
• Proven analytical and structured problem-solving skills with the ability to synthesize qualitative and quantitative information into actionable recommendations.
• Excellent oral and written communication skills; able to produce client-ready deliverables including solution architecture documents, functional specifications, and status reports.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent professional experience.
• US or Canadian work authorization.

Preferred Qualifications

• Hands-on experience with Microsoft Copilot Studio, Azure Foundry, or AWS Bedrock in enterprise automation contexts.
• Hands-on experience in Machine learning, LLM Fine-tuning and model evaluation, Data science and statistics.
• Python development experience with AI frameworks (LangChain, LangGraph, Semantic Kernel, Hugging Face) and RAG pipeline design.
• Experience delivering automation and AI solutions in healthcare, higher education, financial services, or life sciences industries.
• Familiarity with intelligent document processing (IDP) platforms (e.g., UiPath Document Understanding, Microsoft AI Builder).
• Experience with process mining and task capture tools to identify and prioritize automation candidates (e.g., UiPath Process Mining, Celonis).
• Exposure to MLOps practices, model lifecycle management, or AI governance frameworks.
• Experience contributing to sales pursuits, proposals, or capability development within a consulting firm.