• Create innovative, thought provoking, and highly leveraged “must-have research” for clients • Develop research that offers compelling, actionable approaches to client's needs • Build in-depth analysis to identify root cause of client performance barriers • Establish research positions that are adopted across a cohort of analysts • Provide high quality and timely research content peer review • Become a trusted advisor to client executive leaders • Validate client strategies and accelerate client decision making • Create and deliver high value presentation materials for Gartner events and client briefings

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with UBER. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance scalability, cost, latency, throughput of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at UBER.

• Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems. • Lead system design and architecture discussions, bringing expertise in AI engineering, MLOps, and AI deployment best practices. • Write high-quality source code, including detailed documentation and high-level technical designs in collaboration with other engineers. • Develop and maintain AI-driven applications, ensuring high performance, scalability, reliability, and security, optimizing for latency, throughput, and cost. • Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s products, with a focus on unstructured clinical data. • Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments. • Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals. • Implement creative solutions to technical challenges, applying out-of-the-box thinking to improve existing products. • Conduct and lead root cause analysis on defects, ensuring fixes are implemented correctly. • Guide Agile teams on best practices across all SDLC activities. • Mentor junior developers. • Champion technical standards and architectural alignment. • Advocate for defining and testing Non-Functional Requirements (Availability, Scalability, Reliability, and Maintainability). • Collaborate with team members while fostering trust, commitment, and accountability. • Drive discovery and minimization of technical debt, proactively addressing implications and consequences of technical decisions.