Solution Architect (senior Consultant)

This role focuses on designing and documenting agentic solution archetypes, advising engineering teams, and researching market innovations in AI. It requires experience with enterprise/application architecture and a working understanding of agentic AI components, with a preference for prompt engineering and RAG experience.

What you'd actually do

  1. Designs, researchs, leads and coordinates the development and documentation of agentic solution archetypes/assets.
  2. Design agentic solution archetypes that leverage available agentic and cloud technology to demonstrate a use case or scenario
  3. Document solutions using LucidChart or similar tools and advise engineering team on how they should develop the solution based around the archetype
  4. Interview and coordinate with other agentic solution development teams to learn and evangelize best practices and emerging trends
  5. 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.)

Skills

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

Nice to have

  • 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)

What the JD emphasized

  • agentic solution archetypes
  • agentic AI components
  • agentic solution development teams
  • agentic and cloud technology

Other signals

  • Designs, researchs, leads and coordinates the development and documentation of agentic solution archetypes/assets.
  • hands-on experience with enterprise and/or application architecture and a working understanding of agentic AI components.
  • Design agentic solution archetypes that leverage available agentic and cloud technology to demonstrate a use case or scenario
  • advise engineering team on how they should develop the solution based around the archetype
  • 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.)