AI Engineering Specialist

Overview

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.

Engineering Specialist - Gen AI and ML

ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.

Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.

• Oversee task planning and workload distribution across project teams
• Serve as a trusted technical advisor to clients, translating complex AI/ML concepts into clear recommendations
• Manage client expectations throughout the project lifecycle
• Lead and mentor junior team members
• Facilitate technical discussions with both internal teams and client stakeholders to drive decision‑making and ensure project success
• Work with technical architects on the team to validate design and implementation approach
• Take ownership of architecture design and development of scalable and distributed software systems
• Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
• Data driven decision making skills with focus on achieving product goals
• Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
• Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment
• Utilize AWS services/Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
• Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
• Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
• Implement Dev Ops practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop Dev Ops scripts for automation and monitoring
• Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience)
• 6+ years of relevant experience
• Strong coding skills with proficiency in Python and Java script
• Experience with API frameworks both stateless and stateful such as Fast API, Django
• Proficient in cloud platforms, specifically AWS, Databricks and Azure
• Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloud formation
• Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
• Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
• Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
• Hands-on experience with Dev Ops tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3)
• Hands-on experience with Databricks solutions including Unity Catalog
• Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc
• Strong understanding…