The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI,
supporting the revolutionization of healthcare by designing and implementing cutting-edge AI solutions. The Staff
Agentic AI Engineer will be instrumental in developing systems that leverage Generative AI, particularly with Google Cloud Platform
Vertex AI, Gemini, and related tooling, to create transformative products for users across the nationwide ecosystem
This role will focus on practical applications of AI, including Retrieval-Augmented Generation (RAG), the design of
sophisticated grounding data structures, and the construction of robust pipelines for grounding and embedding.
This position is within a flagship innovation team. The Staff Agentic AI Engineer should be a curious, adaptable, and
forward-thinking engineer, comfortable navigating diverse technical ecosystems. The Staff Agentic AI Engineer will
provide technical mentorship and foster a collaborative environment, translating complex AI concepts into actionable
strategies for business stakeholders, product managers, and development teams.
Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions o
Google Cloud Platform, with a strong focus on the Vertex AI suite.
Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions o
Google Cloud Platform, with a strong focus on the Vertex AI suite.
Design and implement different data pipelines for preparing, processing, and embedding data for use in Vector
Stores like Vertex AI Vector Search
Develop and apply innovative data grounding strategies and design the necessary data structures to connect LLMs
with real-world, real-time information sources
Spearhead the exploration and implementation of Agentic AI concepts to create autonomous systems capable of
complex reasoning and task execution.
Champion and integrate the Model Context Protocol to standardize communication between LLMs and external
tools, enhancing system capabilities and interoperability.
Promote a collaborative team environment and work closely with colleagues to achieve business objectives.
Collaborate with stat‹e holders (e.g., business stakeholders, product owners, project managers, and end users) to
understand functional and non-functional requirements for AI systems.
Lead investigations and solution proposals for complex development and design problems in the AI domain.
Guide team members in the scope of work estimation and forecasting for AI-related projects.
Perform proof-of-concept and proof-of-technology tasks to secure buy-in from cohorts and stakeholders for new AI
initiatives.
Collaborate with team members to successfully execute development initiatives using Agile practices and
principles.
Perform other duties as assigned
Practice and adhere to the "Cede of Conduct" philosophy and "Mission and Value Statement."
