Job Description
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 GCP Vertex AI, Gemini, and related tooling, to create transformative products for users across the company's 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 on the Google Cloud Platform, with a strong focus on the Vertex AI suite.
• Architect and build sophisticated Retrieval-Augmented Generation (RAG) systems to ground large language models in the company's proprietary and domain-specific data, ensuring response accuracy and relevance
• Design and implement efficient 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 stakeholders (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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
8 years of experience as an Software Developer or Engineer roles (Not Data Engineer)
Recent 2-3 years understanding and practical experience in designing and building Agentic AI - Retrieval-Augmented Generation (RAG) architectures (NOT ML/Ops Models)
Design, extend, and operationalize AI creation tools and intelligent agents leveraging advanced models.
Secure, deploy, and productionize AI agents to ensure scalability, reliability, and compliance.
Build or integrate Model Context Protocols (MCP) to support robust agent–model interactions.
Develop agentic capabilities tailored to specific use cases, workflows, and functional requirements.
Advanced knowledge and hands-on experience with Azure (Foundry) and/or GCP Vertex AI, including its generative AI models (e.g., Gemini) and Vertex AI Studio
Nice to Have Skills & Experience
Created Agents and put into production use
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.