Manager - AI Engineering

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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.

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Engineering Manager – AI Engineering

ZS is seeking an experienced Engineering Manager – AI Engineering to lead the design, delivery, and evolution of AI-powered platforms and services. This role combines technical leadership, people management, and execution ownership, and is critical to building scalable, reliable, and high-impact GenAI systems across products and client solutions.

This is a hands-on leadership role for someone who brings strong engineering judgment, deep GenAI experience, and the ability to grow high-performing teams while owning complex delivery outcomes.

What you’ll do:

As an Engineering Manager – AI Engineering, you will:

• Own end-to-end technical and delivery responsibility for multiple AI platforms and services
• Lead and mentor senior engineers, technical leads, and service owners
• Drive architecture, engineering standards, and execution discipline
• Act as the primary technical and delivery escalation point
• Partner closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams

You will balance hands-on engineering leadership with team development and execution ownership, ensuring both short-term delivery and long-term platform evolution.

Technical Leadership & Architecture

• Own system-level architecture and technical decision-making across AI platforms and services
• Guide design and implementation of backend services, APIs, and AI integrations
• Ensure systems are scalable, secure, and production-ready
• Provide technical direction on GenAI workflows, agentic systems, and service orchestration

Engineering Management & Team Leadership

• Manage and mentor senior engineers, technical leads, and service owners
• Set clear expectations around ownership, quality, and delivery
• Support team growth through coaching, feedback, and development planning
• Build a culture of strong engineering fundamentals, accountability, and collaboration

Delivery Ownership & Execution

• Own delivery outcomes across multiple parallel workstreams
• Partner with product and delivery teams to plan, prioritize, and sequence work
• Identify risks early and make pragmatic trade-offs
• Act as escalation point for technical and delivery challenges

AI Platform & Service Enablement

• Oversee development of AI-powered backend services using Python (FastAPI / Flask)
• Enable GenAI use cases by integrating LLMs, prompt pipelines, agentic workflows, and enterprise data systems
• Drive standardization and reuse across AI components where appropriate
• Ensure clear service ownership and operational readiness

Engineering Quality & Governance

• Define and enforce engineering standards, patterns, and best practices
• Review designs and code at a system level to ensure quality and maintainability
• Identify technical debt and guide remediation plans
• Partner with DevOps to ensure observability, reliability, and operational clarity

Cross-Functional Collaboration

• Work closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
• Translate business and client needs into sound technical approaches
• Communicate technical trade-offs clearly to non-technical stakeholders
• Support client-facing discussions when required for complex AI systems

What you’ll bring:

• 10+ years of software engineering experience, including 3+ years in a technical leadership or engineering management role
• Strong backend engineering experience in Python (FastAPI, Flask, or similar frameworks)
• Hands-on experience building, integrating, and scaling GenAI / LLM-based systems, including prompt pipelines, model APIs, and agentic or workflow-based…