Enterprise Architect: AI

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide.

ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Enterprise Architect in the Technology Advisory Group will will work closely with ZS practice leadership and be responsible for evolving our practice, enriching our practice assets and collaterals, building, and managing client relationships, generating new business engagements, and providing thought leadership in the Technology and Architecture Area.

ZS's Technology Advisory Group ensures our future information, technology and architectural landscape is built to plan and evolve as our business grows, striving to balance future-proofing our end-to-end technology stack while accelerating the speed of innovation and streamlining the delivery of business capability. This role will be responsible for supporting the growth and development of our Technology Advisory Practice within the ZS Technology Services business.

What you'll do:

* Design robust, scalable solutions aligned with ZS and industry standards, leveraging existing assets while tailoring to client needs.

* Lead agentic AI architecture and delivery, including multi-agent workflows across data, applications, and business processes.

* Define agentic AI reference architectures (orchestration, tool/function calling, routing, memory/state, guardrails) aligned to security, compliance, and scalability.

* Partner with engineering teams to product ionise agentic AI systems (evaluation, observability, human-in-the-loop, 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 & Engineering leadership and support delivery teams to execute against plans.

* Build POVs by staying current on emerging technology trends and architecture patterns.

* Mentor junior team members and drive experimentation/POCs on new technologies and patterns.

* Support business development through solution shaping and client conversations.

What you'll bring:

* Bachelor's degree in Computer Science, IT, or a related field.

* 8+ years of experience designing enterprise-scale semantic/solution architectures.

* Strong engineering mindset with a track record of building reliable, reusable architecture frameworks and assets.

* Experience in one or more areas such as cloud strategy, IT transformation, or application portfolio assessment.

* Hands-on experience designing and implementing agentic AI / multi-agent systems, including orchestration, tool integration, and workflow automation.

* Experience delivering GenAI/LLM architectures (e.g., RAG, prompt + policy design, evaluation) with a focus on production readiness, scalability, and risk controls.

* Ability to translate business problems into solution designs and guide teams through end-to-end delivery from concept to deployment.

* Strong client communication, stakeholder management, and comfort operating in fast-paced environments.

* Experience evaluating platforms/technologies, recommending options, and developing implementation/adoption POVs.

* Experience scaling technology solutions to solve complex business problems; familiarity with agile delivery and short release cycles.

* Demonstrated technical leadership, mentorship, and collaboration skills.

* Fluency in English

* Client-first…