The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.
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.
What You'll Do • 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 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.
What You'll Bring: • 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 Javascript• 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 Cloudformation• 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 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• Fluency in English• Client-first mentality• Intense work ethic• Collaborative spirit and problem-solving approach
How you'll grow:
Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
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
#LI-MM2
Salary: $160,000.00 - $170,000.00
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.
What You'll Do • 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 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.
What You'll Bring: • 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 Javascript• 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 Cloudformation• 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 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• Fluency in English• Client-first mentality• Intense work ethic• Collaborative spirit and problem-solving approach
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
Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
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
#LI-MM2
Salary: $160,000.00 - $170,000.00
Top Skills
AWS
Azure
CloudFormation
Databricks
Django
Docker
Fast Api
JavaScript
Kubernetes
Next Js
Python
React Js
Tailwind Css
Terraform
ZS Foster City, California, USA Office
ZS San Francisco (Foster City) Office

950 Tower Lane, Suite 1500, Foster City, CA, United States, 94404
ZS South San Francisco, California, USA Office
ZS San Francisco (South) Office

611 Gateway Blvd, Suite 1000, South San Francisco, CA, United States, 94080
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