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Perficient

Global digital consultancy delivering IT solutions

Senior GTM AI Enterprise Architect - Commerce, Salesforce

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 10–15+ years of professional experience in cloud, data, enterprise architecture, or a closely adjacent technical discipline, including meaningful time in a professional services or consulting environment.
  • A proven pre-sales track record leading discovery sessions, documenting architectures, scoping statements of work, closing deals, and carrying a sales goal rather than only contributing.
  • Hands-on production delivery history in the capability areas represented, verified rather than self-assessed.
  • Experience in solution estimation, staffing plan development, and documenting assumptions that delivery teams can execute against.
  • Total cost of ownership and business case modeling experience for CFO- or board-level audiences.
  • Active practitioner-level knowledge of AI tools and their application to accelerate pre-sales workflows without compromising technical credibility.
  • A strong understanding of AI capabilities, limitations, and ethical considerations.
  • Flexibility to travel as needed to support partner, client, and business priorities.

Responsibilities

  • Lead the full pre-sales technical cycle for complex, high-value pursuits, including discovery sessions, solution design workshops, architecture reviews, executive presentations, and proof-of-concept engagements.
  • Translate client business problems into scoped, deliverable solutions, with staffing plans, solution estimates, and project assumptions that delivery teams can execute against without rework.
  • Lead total cost of ownership and business case modeling at a Director level, framing a solution's total cost and risk for CFO- or board-level audiences.
  • Identify offerings that can be packaged, priced, and scaled across clients and verticals; develop accelerators, reference architectures, and pricing models that enable repeatability.
  • Own a personal sales target, co-sell alongside field sellers, and remain accountable for closing the deals shaped.
  • Carry and manage the sales pipeline, including accurate forecasting, stage hygiene, and clear visibility into deal status and requirements to close.
  • Produce request for proposal responses, statement of work scopes, and solution documentation that wins deals and protects delivery through explicit assumptions, bounded scope, and named risks.
  • Remain billable 4–12 hours per week on personally shaped deals to ensure delivery fidelity to the solution as sold and preserve win-to-delivery credibility.
  • Use AI tools across the pre-sales workflow to accelerate discovery synthesis, proposal generation, architecture documentation, and estimation while maintaining technical credibility.
  • Build and maintain strategic relationships with partner sales, engineering, and product teams, representing Perficient in partner conversations that influence deal routing, co-sell priority, and joint go-to-market planning.
  • Serve as a thought leader internally and externally by evangelizing capability areas at industry events, in client sessions, and in partner forums.
  • Stay current on partner ecosystems, market pricing, and competitive positioning, and brief leadership on these areas.
  • Partner with Service Line and go-to-market leadership to determine which offerings to invest in, sunset, and pursue based on Perficient's credible right to win.
  • Mentor L1 and L2 architects on solution design, partner ecosystem navigation, and commercial discipline for carrying a revenue goal.
  • Build reusable practice intellectual property, including solution playbooks, discovery frameworks, estimation models, and proof-of-concept templates.
  • Hold L1 and L2 architects to commercial and documentation standards; own the quality of the team's pre-sales output.
  • Ensure a fluid transition from pre-sales to delivery, provide architectural guidance throughout the engagement lifecycle, and remain accountable when the delivered solution diverges from the solution sold.
  • Track and report the 4–12-hour weekly billability commitment on shaped deals, without treating it as a flexible buffer or general delivery capacity.

Desired Qualifications

  • At least 3 years of partner-aligned pre-sales experience in Salesforce or a Commerce-focused ecosystem.
  • At least one production-level agentic AI or Generative AI deployment from proof of concept to production, not proof-of-concept-only.
  • Experience developing practice intellectual property, such as reference architectures, solution playbooks, estimation frameworks, or productized offerings.
  • Industry vertical depth in one or more of Healthcare, Life Sciences, Financial Services, Retail, or Automotive and Manufacturing.
  • Relevant partner certifications at the Professional or Specialty level, such as Google Professional Cloud Architect, AWS Solutions Architect Professional, or Microsoft Azure Solutions Architect Expert.
  • Prior experience mentoring junior architects in a pre-sales or solution design context.

About the Company

Perficient

Global digital consultancy delivering IT solutions

Perficient is a global digital consultancy that provides IT and business consulting services to large enterprises. It helps organizations design and deliver IT and digital solutions, with services spanning business analysis, portal development, and AI-powered digital initiatives. Its offerings are carried out through a global delivery network across the United States, Latin America, India, and Europe, combining strategists and technologists to execute projects from strategy through implementation. The company differentiates itself by leveraging a broad, multinational delivery footprint and pursuing strategic acquisitions to expand its capabilities and market reach, enabling it to serve Forbes Global 2000 and other large enterprise clients across multiple industries. The goal is to help enterprises transform digitally, using data analytics, cloud computing, and AI to achieve measurable business outcomes and improved performance.

Company size
1,001-5,000
Company stage
IPO
Headquarters
St. Louis, MO
Founded
1998

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