Jobs at ZS

Build and optimize production-grade LLM and generative AI systems, including RAG pipelines, model fine-tuning, embedding search, evaluation, and scalable inference. Develop FastAPI services, integrate AI into production software, and improve latency, GPU utilization, reliability, and cost efficiency. Research emerging AI techniques, contribute to MLOps through model tracking and observability, and collaborate with clients and cross-functional teams.

Lead enterprise-scale digital transformation programs using Microsoft Azure AI, Fabric, Power Platform, Copilot, and Dynamics 365. Manage cross-functional delivery teams, drive AI adoption and responsible governance, support business development, develop reusable Microsoft assets and training, and align client stakeholders across life sciences and other business domains.

Support client-facing teams in analyzing business problems, translating requirements into technical designs, and implementing technology solutions. Responsibilities include developing technical features with SQL and Python, applying agile and testing methodologies, interpreting business requirements, supporting project implementation plans, and collaborating with internal and client teams. The role requires strong analytical, communication, and problem-solving skills, with exposure to cloud platforms and big data concepts.

Supports consulting project teams by researching markets, developing analyses, applying problem-solving frameworks, synthesizing insights, communicating findings, and collaborating with clients to implement solutions. The intern owns assigned deliverables and may support change initiatives and client decision-making. Strong performance may lead to a full-time offer.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. Identify trends, evaluate emerging data technologies, and communicate analytical findings to clients and ZS stakeholders. The role requires collaboration across multiple projects, strong quantitative and research skills, and proficiency with Python, SQL, Pandas, and PySpark. Client-facing work may require travel.

Supports strategic data platform partnerships with Databricks, Snowflake, Dataiku, and similar technology providers. Responsibilities include partnership governance, partner-influenced pipeline management, reporting and dashboards, joint account coordination, issue resolution, process improvement, documentation, and partner marketing campaigns. The role requires cross-functional collaboration, CRM proficiency, strong communication, organization, and the ability to manage multiple priorities in a client-facing consulting environment.

Own ZS’s AWS alliance strategy, governance, growth, and operational execution. Manage AWS funding, opportunity registration, certifications, competencies, co-selling, marketplace motions, joint go-to-market programs, pipeline, and revenue objectives. Coordinate stakeholders across AWS, sales, practices, marketing, finance, legal, and delivery teams while maintaining dashboards, forecasts, compliance, and reporting. Serve as the primary relationship owner and trusted AWS expert.

Lead Veeva CRM and Vault implementations for pharma and life sciences clients, providing techno-functional architecture and solution design. Collaborate with onshore/offshore teams, guide platform decisions versus Salesforce, drive content approval, sales and regulatory workflows, and integrate CRM/Vault use cases while communicating solutions to technical and non-technical stakeholders.

This role leads digital transformation initiatives in content management and marketing technology, focusing on AI-based innovations and collaboration with clients in life sciences.

Lead business development and delivery of supply chain transformation engagements for high-tech and data center clients. Build client relationships, design analytics-driven solutions (inventory, demand/capacity planning, network design, supplier performance), manage cross-functional teams, present executive recommendations, and coach project staff.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

As a User Experience Designer, you will create effective interfaces for applications, collaborate with teams, utilize design tools, and improve user experiences through research and iteration.

Manage projects and client relationships, drive business development, and motivate project teams while providing thought leadership and innovation.

The Enterprise Architect will co-lead tech advisory, manage client relationships, drive new business, mentor junior consultants, and oversee large transformations.

Develop and execute strategies for partnerships, manage revenue targets, collaborate with teams, and serve as an advisor for assigned partners.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.