Solution Architect (Senior Consultant)
Designs, researchs, leads and coordinates the development and documentation of agentic solution archetypes/assets. The team prioritizes innovation and creative thinking, often gaining early access to new models, platforms, and working directly with our alliances and vendors to design novel examples of how to use their technologies. A successful architect will have hands-on experience with enterprise and/or application architecture and a working understanding of agentic AI components. Must be an excellent communicator verbally and in writing to both technical and non-technical audiences. Key responsibilities
- Design agentic solution archetypes that leverage available agentic and cloud technology to demonstrate a use case or scenario
- Document solutions using LucidChart or similar tools and advise engineering team on how they should develop the solution based around the archetype
- Interview and coordinate with other agentic solution development teams to learn and evangelize best practices and emerging trends
- Research and explore market innovations and advancements in this rapidly evolving space including new models, platforms, packages, frameworks, and standards (such as A2A and A2UI, MCP, OTEL, swarms, etc.)
Required
- 4+ years of consulting and / or Customer operate/implement experience
- 2+ years hands-on solution engineering experience on at least one hyperscaler cloud (AWS or GCP preferred)
- Bachelor's degree
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Master's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience
- Experience managing global service delivery from multiple centers
- Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)- Expertise in an industry vertical (i.e. Financial Services, Life Sciences, Manufacturing, Technology, Retail, Media, etc.)
- Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)
- Comfortable using AI development tools (Copilot, Claude Code, etc.)
- Relevant experience with prompt engineering and improving consistency and quality of AI Agents (RAG triage and enhancement)
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