ZS Associates—Business Technology Solutions Associate - AI Engineering

Job description

Description: 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. Technology Group ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Associate role, 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. What you’ll do: - Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. - Strong knowledge in developing RAG-based pipelines using frameworks like LangChain C LlamaIndex. - Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. - Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. - Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. - Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. - Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. - Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. - Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What you’ll bring: - Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. - Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. - Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. - Ability to quickly adapt to new technology and be innovative in creating solutions - Strong in at leastone of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures - Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP. - Fluency in English - Client-first mentality - Intense work ethic - Collaborative spirit and problem-solving approach Additional Skills: - Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform - AWS Solutions Architect certification with understanding of broader AWS stack - Knowledge of data modeling and data warehouse concepts - Willingness to travel to other global offices as needed to work with client or other internal project teams How you’ll grow: - 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 Perks & 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. For details on total rewards in India, visit ZS India office locations | Where we work | ZS. 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. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. 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. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Responsibilities: Technology Group ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Associate role, 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. What you’ll do: - Experience in creating GenAI applications such as answering engines, extraction components, and content authoring. - Strong knowledge in developing RAG-based pipelines using frameworks like LangChain C LlamaIndex. - Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. - Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques. - Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements. - Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding. - Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. - Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering. - Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience. What you’ll bring: - Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles. - Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes. - Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions. - Ability to quickly adapt to new technology and be innovative in creating solutions - Strong in at leastone of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures - Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP. - Fluency in English - Client-first mentality - Intense work ethic - Collaborative spirit and problem-solving approach Additional Skills: - Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform - AWS Solutions Architect certification with understanding of broader AWS stack - Knowledge of data modeling and data warehouse concepts - Willingness to travel to other global offices as needed to work with client or other internal project teams