AI Engineering Specialist

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.

• 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 or Master'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 of scalable application design principles and experience with security best practices and compliance with privacy regulations.
• Good knowledge of software engineering practices like version control (GIT), Dev Ops (Azure Dev Ops preferred) and Agile or Scrum.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Experience of SDLC and best practices while development
• Experience with Agile methodology for continuous product development and delivery
• Fluency in English
• Client‑first mentality
• Intense work ethic
• Collaborative spirit and problem‑solving approach

• Cross‑functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions

• Comprehensive total rewards package that supports health and well‑being, financial future, time away, and professional development.
• Robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture.
• Opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients/ZS offices for the majority of our week.

Travel is a requirement at ZS for client‑facing ZSers; business needs of your project and client are the priority.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.