Z

ZS

Global management consulting for sales optimization

Enterprise Architect: AI

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, IT, or a related field is required.
  • At least 8 years of experience designing enterprise-scale semantic or solution architectures is required.
  • A strong engineering mindset and a track record of building reliable, reusable architecture frameworks and assets are required.
  • Experience in one or more of cloud strategy, IT transformation, or application portfolio assessment is required.
  • Hands-on experience designing and implementing agentic AI or multi-agent systems, including orchestration, tool integration, and workflow automation, is required.
  • Experience delivering generative AI or large language model architectures, such as retrieval-augmented generation, prompt and policy design, and evaluation, with focus on production readiness, scalability, and risk controls, is required.
  • Ability to translate business problems into solution designs and guide teams through end-to-end delivery from concept to deployment is required.
  • Strong client communication and stakeholder management, and comfort operating in fast-paced environments, are required.
  • Experience evaluating platforms and technologies, recommending options, and developing implementation or adoption points of view is required.
  • Experience scaling technology solutions to solve complex business problems, with familiarity with agile delivery and short release cycles, is required.
  • Technical leadership, mentorship, and collaboration skills are required.
  • Fluency in English is required.

Responsibilities

  • Design robust, scalable solutions aligned with ZS and industry standards, leveraging existing assets while tailoring solutions to client needs.
  • Lead agentic AI architecture and delivery, including multi-agent workflows across data, applications, and business processes.
  • Define agentic AI reference architectures covering orchestration, tool and function calling, routing, memory and state, and guardrails, aligned with security, compliance, and scalability.
  • Partner with engineering teams to productionize agentic AI systems, including evaluation, observability, human-in-the-loop processes, and safe deployment.
  • Develop and scale reusable assets by codifying patterns, components, and delivery playbooks for consistent execution.
  • Facilitate architecture and design working sessions with internal and client stakeholders to align on solutions and implementation approaches.
  • Shape technology roadmaps with Architecture and Engineering leadership and support delivery teams in executing against plans.
  • Build points of view by staying current on emerging technology trends and architecture patterns.
  • Mentor junior team members and drive experimentation and proofs of concept on new technologies and patterns.
  • Support business development through solution shaping and client conversations.
  • Evolve the Technology Advisory practice, enrich its assets and collateral, build and manage client relationships, generate new business engagements, and provide thought leadership in technology and architecture.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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