Senior AI Solutions Consultant

About the role

The Senior AI Solutions Consultant plays a pivotal role in delivering complete workstreams and specialized AI solution components with deep technical expertise. They are responsible for maintaining high-quality outcomes within timelines, facilitating client workshops, leading use case identification, and supporting the sales team through technical expertise and client engagement.

Responsibilities

• Deliver complete workstreams or specialized solution components with deep technical expertise, maintaining quality outcomes and meeting delivery timelines
• Navigate complex stakeholder environments, translate ambiguous business needs into technical requirements, and communicate effectively with both technical and non-technical audiences
• Design scalable intelligent automation systems with AI agents and autonomous workflows, including data model design, connector configuration, and third-party service integration
• Evaluate and select optimal low-code platforms for specific use cases based on technical requirements, platform capabilities, and integration needs
• Support sales team efforts through opportunity qualification, proposal contributions, and client presentations
• Provide informal mentoring to junior consultants through collaborative work, knowledge sharing, and constructive feedback
• Contribute to practice improvement initiatives through methodology feedback, tool testing, and lessons learned documentation
• Demonstrate initiative and proactive problem-solving in ambiguous, rapidly changing situations with high ownership of deliverables
• Serve as liaison between business stakeholders and technical teams, ensuring accurate requirement translation and solution alignment
• Identify process improvements and share knowledge to enhance team efficiency

Requirements

• 2+ years in a consulting or AI delivery role, with documented evidence of full workstream delivery and proficiency across multiple AI platforms
• Proven track record navigating complex stakeholder environments, translating ambiguous business needs into technical requirements, and communicating effectively with both technical and non-technical audiences
• Deep expertise in Generative AI, ML applications, and cloud AI platforms, with hands-on experience across multiple technology stacks including Microsoft Power Platform (Power Apps, Power Automate, AI Builder, Copilot) and emerging automation tools such as n8n, Make, and Zapier
• Advanced proficiency architecting intelligent automation solutions using low-code AI platforms, including AI agents with autonomous task execution, multi-tool orchestration, planning capabilities, and complex reasoning workflows within visual, configuration-based environments
• Strong understanding of coding concepts, APIs, databases, natural language processing, Azure AI services, and prompt engineering, with the ability to independently support and extend low-code/no-code implementations
• Advanced communication skills with ability to convey complex AI concepts to both technical and non-technical audiences; excellent written and verbal communication for effective interaction with diverse stakeholders
• Ability to demonstrate proactive problem-solving and taking action independently while knowing when to ask questions; comfort working in ambiguous situations; adaptive and introspective, with willingness to learn, guide, lead, and follow as the work requires
• Learn new tools quickly and operate effectively outside comfort zones in a rapidly changing technology landscape
• Build technical and domain expertise through continuous learning and feedback application

Qualifications

• Relevant degree in business, engineering, computer science, information systems, data analytics, or a related field, or equivalent professional or academic experience
• Experience participating in C-suite client interactions and executive-level communications
• Experience providing informal mentoring to junior consultants, with a history of positive contributions to team knowledge-sharing
• Collaboration with sales teams on opportunity qualification, proposal writing, or client presentations
• Contributing to practice improvement initiatives, methodology documentation, or lessons-learned frameworks
• Exposure to business analysis, consulting, technology roles, citizen development, or digital transformation initiatives
• Experience in project support, requirements gathering, or stakeholder interaction in academic or professional settings
• Hands-on engagement across multiple technology stacks or platforms