Business Technology Solutions Consultant R&D
About the role
As a Business Technology Solutions Consultant in the Technology Services area, you will lead the architecture and delivery of AI-driven solutions, from proof-of-concept through production deployment. You will also guide teams on AI solution design patterns, including batch vs. real-time inference, model orchestration, and integration with enterprise systems.
Responsibilities
- Lead the architecture and delivery of AI-driven solutions, from proof-of-concept through production deployment
- Own technical decision-making around model selection, scalability, cost optimization, and performance trade-offs
- Guide teams on AI solution design patterns, including batch vs. real-time inference, model orchestration, and integration with enterprise systems
- Partner with clients to translate business problems into actionable AI use cases and measurable outcomes
- Design, build, and deploy production-grade AI/ML solutions to solve complex R&D and life-sciences problems
- Develop and maintain end-to-end AI pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
- Implement generative AI and agentic AI solutions, including orchestration frameworks, prompt engineering, and model integration into enterprise workflows
- Collaborate with data engineering and cloud teams to operationalize AI models at scale
- Apply software engineering best practices (versioning, testing, CI/CD) to AI systems
- Monitor model performance, data drift, and reliability; iterate based on real-world usage and feedback
- Lead end-to-end projects using cloud technologies to solve complex business problems
- Provide technology expertise to maximize value for clients and project teams
- Drive strong delivery methodology to ensure projects are delivered on time, within budget and to client’s satisfaction
- Ensure technology solutions are scalable, resilient, and optimized for performance and cost
- Lead, coach and mentor project team members for continuous learning and professional growth
- Demonstrate expertise, facilitation, and strong interpersonal skills in internal and client interactions
- Collaborate with ZS experts to drive innovation and minimize project risks
- Work globally with team members to ensure a smooth project delivery
- Bring structure to unstructured work for developing business cases with clients
- Aid ZS Leadership with business case development, innovation, thought leadership and team initiatives
Requirements
- Bachelor's or Master's degree in Business Analytics, Computer Science, MIS, MBA, or a related field with academic excellence
- 5+ years of consulting experience in leading large-scale technology implementations
- 3+ years of working on R&D technology projects including large-scale clinical transformation programs
- Strong proficiency in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain-type frameworks)
- Hands-on experience operationalizing AI on AWS/Azure/GCP (model hosting, pipelines, monitoring)
- Deep knowledge of R&D business processes enhancements based on experience/best practices, business knowledge, and gaps in current vs. future state in one or more of the following R&D domains: Clinical, Quality, Regulatory, and/or Safety
- Experience in implementing Agentic AI solutions, preferred to have formal education or certifications in AI & ML courses
- Strong communication skills to convey technical concepts to diverse audiences
- Significant supervisory, coaching, and hands-on project management skills
- Extensive experience with major cloud platforms like AWS, Azure and GCP
- Deep knowledge of enterprise data management, advanced analytics, process automation, and application development
- Familiarity with industry-standard products and platforms such as Snowflake, Databricks, Redshift, Salesforce, Power BI, Cloud
- Experience in delivering projects using agile methodologies
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Qualifications
- Capable of managing a virtual global team for the timely delivery of multiple projects
- Experienced in analyzing and troubleshooting interactions between databases, operating systems, and applications
- Willingness to travel to global offices as required to collaborate with clients and internal project teams
Skills
- Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain-type frameworks)
- Operationalizing AI on AWS/Azure/GCP (model hosting, pipelines, monitoring)
- Deep knowledge of R&D business processes enhancements based on experience/best practices, business knowledge, and gaps in current vs. future state in one or more of the following R&D domains: Clinical, Quality, Regulatory, and/or Safety
- Implementing Agentic AI solutions
- Strong communication skills to convey technical concepts to diverse audiences
- Supervisory, coaching, and hands-on project management skills
- Experience with major cloud platforms like AWS, Azure and GCP
- Enterprise data management, advanced analytics, process automation, and application development
- Industry-standard products and platforms such as Snowflake, Databricks, Redshift, Salesforce, Power BI, Cloud
- Experience in delivering projects using agile methodologies
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
Details on pay are not specified in this posting.
Schedule
Details on schedule are not specified in this posting.