GTM Solution Architect - Microsoft
perficientBrooklyn (NY)
GTM Solution Architect - Microsoft
Posted today
perficientBrooklyn (NY)
SENIORITY
Lead
About the role
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 / Benefits competitive benefits paid time off plus holidays billable bonus opportunities rewards and recognition programs great benefits and work-life balance
Responsibilities:
Own client narratives through origination, from discovery to PoC, with minimal supervision Lead technical discovery sessions, solution design workshops, and PoC delivery Develop solution estimates, staffing plans, and PoC/demos that anchor deals Assess fit against client constraints and Perficient delivery capability Apply partner architecture patterns (cloud, data, AI) to client designs Lead pre-sales engagements, RFPs, SOW scoping, and architecture reviews Co-sell with field sellers, carrying personal revenue booking accountability Maintain billable time on deals personally shaped in pre-sales Lead PoC and demo delivery showcasing AI-first offerings Build IP: reusable PoC assets, accelerators, and reference patterns Mentor GTM Solution Consultants in discovery, PoC delivery, and credibility Drive delivery fidelity and long-term client relationships beyond a single deal
Key requirements:
7–10+ years in cloud, data, or related technical fields, with substantial professional services/consulting experience Hands-on delivery history designing and delivering technical solutions Ability to lead discovery, solution design, and PoC independently Experience building solution estimates, staffing plans, and project assumptions Comfort with revenue accountability alongside field sellers Partner-aligned pre-sales experience (Google Cloud, Microsoft, AWS, Salesforce, or equivalent) preferred Partner-recognized certification in the relevant ecosystem preferred Experience contributing to practice IP (PoC assets, accelerators, reference patterns) preferred Industry exposure in Healthcare, Life Sciences, Financial Services, Retail, or Automotive & Manufacturing preferred Proficiency with AI technologies to drive innovation and support pre-sales workflows Willingness to travel as needed Understanding of AI capabilities, limitations, and ethical considerations Familiarity with AI-enhanced platforms is a plus Proven ability to leverage AI tools to boost productivity and decision-making commercially minded strong communication and storytelling collaborative and cross-functional alignment AI/ML concepts and platforms cloud architecture patterns (GCP, AWS, Azure) data architecture and integration
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