GTM Solution Architect - Microsoft

Overview In this role, you own client narratives from discovery to PoC, translating business problems into scoped technical solutions. You will carry personal revenue accountability and represent Perficient’s credibility in partner conversations. You’ll work within Solution Shaping, bridging pre-sales strategy with GTM execution across a broad partner ecosystem. You’ll shape AI-first solutions that impact large-scale client engagements and foster ongoing client relationships. Compensation / Benefitscompetitive benefitspaid time off plus holidaysbillable bonus opportunitiesrewards and recognition programsgreat benefits and work-life balance ResponsibilitiesOwn client narratives through origination, from discovery to PoC, with minimal supervisionLead technical discovery sessions, solution design workshops, and PoC deliveryDevelop solution estimates, staffing plans, and PoC/demos that anchor dealsAssess fit against client constraints and Perficient delivery capabilityApply partner architecture patterns (cloud, data, AI) to client designsLead pre-sales engagements, RFPs, SOW scoping, and architecture reviewsCo-sell with field sellers, carrying personal revenue booking accountabilityMaintain billable time on deals personally shaped in pre-salesLead PoC and demo delivery showcasing AI-first offeringsBuild IP: reusable PoC assets, accelerators, and reference patternsMentor GTM Solution Consultants in discovery, PoC delivery, and credibilityDrive delivery fidelity and long-term client relationships beyond a single deal Key requirements7–10+ years in cloud, data, or related technical fields, with substantial professional services/consulting experienceHands-on delivery history designing and delivering technical solutionsAbility to lead discovery, solution design, and PoC independentlyExperience building solution estimates, staffing plans, and project assumptionsComfort with revenue accountability alongside field sellersPartner-aligned pre-sales experience (Google Cloud, Microsoft, AWS, Salesforce, or equivalent) preferredPartner-recognized certification in the relevant ecosystem preferredExperience contributing to practice IP (PoC assets, accelerators, reference patterns) preferredIndustry exposure in Healthcare, Life Sciences, Financial Services, Retail, or Automotive & Manufacturing preferredProficiency with AI technologies to drive innovation and support pre-sales workflowsWillingness to travel as neededUnderstanding of AI capabilities, limitations, and ethical considerationsFamiliarity with AI-enhanced platforms is a plusProven ability to leverage AI tools to boost productivity and decision-makingcommercially mindedstrong communication and storytellingcollaborative and cross-functional alignmentAI/ML concepts and platformscloud architecture patterns (GCP, AWS, Azure)data architecture and integration