AI Engineer - Vice President
About The Position
As an AI Engineer, you will design, build, and scale end‑to‑end AI solutions across backend services, cloud infrastructure, and user-facing applications. You will work across LLM processing pipelines, data ingestion and transformation workflows, API-driven services, and modern web interfaces, while ensuring solutions are secure, scalable, and production-ready. This role requires strong engineering fundamentals in Python, cloud-native development, and modern frameworks, along with the ability to collaborate across platform, infrastructure, and frontend teams to deliver enterprise-grade AI capabilities.
Requirements
- Strong proficiency in Python and API design for production‑grade AI systems
- Experience building and deploying cloud‑native applications on GCP (e.g., GKE, Cloud Run, IAM)
- Hands‑on experience with modern web technologies such as React JS and frontend‑backend integration patterns
- Experience working with relational, vector, and NoSQL databases (e.g., PostgreSQL, pgvector, Graph DBs)
- Familiarity with CI/CD pipelines, infrastructure‑as‑code, and automated deployment practices
- Experience with Google ADK / Vertex AI
Nice To Haves
- Experience integrating open ‑ source and commercial AI frameworks into enterprise environments
- Ability to design scalable, secure AI systems that support high ‑ concurrency production workloads
Responsibilities
- Design, develop, and maintain LLM processing pipelines and AI‑powered services
- Build and optimize data ingestion, transformation, and API‑driven workflows supporting AI applications
- Develop and integrate backend services with modern web interfaces to deliver seamless end‑to‑end user experiences
- Implement and maintain cloud‑native deployment architectures and CI/CD pipelines for AI solutions
- Ensure AI applications meet enterprise standards for scalability, reliability, security, and compliance
- Rapidly prototype solutions to automate manual processes and improve development efficiency
- Implement and manage enterprise system integrations, cloud services, and event‑driven architectures supporting AI workflows
Benefits
- A diverse and inclusive environment that embraces change, innovation, and collaboration
- A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
- Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
- Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
- Educational resources, matching gift and volunteer programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
