AI Engineering Specialist

About the role

ZS is seeking an Engineering Specialist - Gen AI and ML to join our Scaled AI practice. This role is part of our Architecture & Engineering Expertise Center, focusing on creating continuous business value for clients through innovative machine learning, deep learning, and engineering capabilities.

Responsibilities

• 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
• Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
• Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
• Own 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 architect the governance layer from data all-the-way to the AI model output
• Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery
• Develop DevOps scripts for automation and monitoring
• Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices

Requirements

• 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 Javascript
• Experience with API frameworks both stateless and stateful such as Fast API, Django
• Proficient in cloud platforms, specifically AWS, Databricks and Azure
• Knowledge and hands-on experience with Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
• Preferred: Strong experience in front-end development (React JS, Next JS, Tailwind CSS)
• Hands-on experience with LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
• Hands-on experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
• Hands-on experience with DevOps 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), DevOps (Azure DevOps 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

Qualifications

• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

Skills

• 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.)
• Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
• Utilize Databricks capabilities, esp. Unity Catalog
• Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery
• Develop DevOps scripts for automation and monitoring
• Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices

Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community.

Pay

TBD

Schedule

Hybrid working model: 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. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.