
Senior Artificial Intelligence Architect
Sada Systems
- Los Angeles, CA
- Permanent
- Full-time
- Implementing AI-based solutions for SADA clients across all project stages, from discovery and architecture, to development, testing and launch
- Providing subject matter expertise and assistance to SADA clients and colleagues on artificial intelligence topics
- Collaboration with client stakeholders managing the project, including other engineers and Director-level client resources
- Creating technical documentation and leading solution design discussions
- Assisting with technical pre-sales discussions and the creation of statements of work
- One of the following (within 90 days of hire):
- 4+ years of relevant work experience in technical consulting, software development or cloud engineering
- 1+ years of relevant work experience designing and implementing Generative AI solutions, including the use of large language models, model fine tuning, vector embeddings, and AI application frameworks to build retrieval augmented generation and multimodal workloads, preferably using Vertex AI on GCP
- Strong consultative skills, including the ability to translate complex AI concepts into actionable business strategies and solutions
- Ability to communicate complex technical concepts to a broad range of internal and external stakeholders
- Expertise in development using Python, and familiarity with other programming languages such as JavaScript, Go or Java
- Comfortable developing with frontend web frameworks such as Streamlit, Gradio or React
- Experience designing and implementing serverless and containerized solutions on common deployment runtimes, preferably Cloud Run, Google Kubernetes Engine, or Vertex AI on Google Cloud Platform
- Experience building and maintaining high-quality, developer-friendly server-side code, such as webhooks, cloud functions, and data pipelines
- Experience with full stack development, including setting up cloud infrastructure, database services and application lifecycle management
- Ability to architect, scope, and prioritize work based on feedback from the customer or internal teams.
- Experience working with analytical and transactional database systems, including SQL databases like MySQL, PostgreSQL or BigQuery
- Experience participating in sales calls
- Experience in business or technical consulting
- Exposure to containers and container orchestration, such as Docker
- Experience working with interactive development environments like JupyterLab and Vertex AI Workbench
- Exposure to model serving frameworks such as LLM and FastAPI and model training frameworks such as PyTorch and TensorFlow
- Experience in writing automated tests, including unit, integration, and acceptance tests
- Experience monitoring and scaling workloads based on latency or throughput demands
- Heart
- Harmony