AI Architect
Sauce Labs Inc.3 months ago
Gurgaon, IndiaSenior
Responsibilities
- Lead the architecture of scalable, reliable AI/ML solutions for new product offerings in a cloud-native environment.
- Design AI systems that derive insights from test-run logs, analytics data, and production error data.
- Architect unified data intelligence across test and production environments.
- Design automated failure analysis, root-cause diagnosis, remediation suggestions, and AI-assisted test-case generation.
- Leverage Google Cloud Platform services and self-hosted Gemini Flash models for text generation and understanding.
- Define and optimize data pipelines from Snowflake and prospective Google BigQuery sources to AI models.
- Identify delivery-process improvement opportunities using AI tools and validate their feasibility.
- Provide technical leadership and mentorship, guide AI/ML implementation and deployment, and participate in AI governance.
- Evaluate emerging AI/ML technologies and collaborate with product, engineering, and senior leadership on technical roadmaps.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in software development and architecture of production-grade systems.
- Proven experience designing, building, and deploying large-scale AI/ML systems and platforms in production.
- Deep hands-on experience with Google Cloud Platform services relevant to AI/ML, preferably including Vertex AI, BigQuery, Cloud Storage, and Dataflow.
- Practical experience with large language models, particularly Gemini Flash, including deployment, fine-tuning, prompt engineering, agent orchestration, context-window management, and output validation.
- Strong experience with large datasets, data warehousing, Snowflake, BigQuery, and analytics platforms.
- Strong software engineering foundation in scalable system design and software development best practices.
- Willingness to contribute hands-on to prototypes and proof-of-concepts while guiding implementation.
- Familiarity with software testing, quality assurance, DevOps, or application performance monitoring is highly desired.
- Experience with MLOps practices and tools, open-source AI/ML contributions, relevant publications, or an advanced degree are nice-to-have qualifications.
- Strong analytical, communication, presentation, problem-solving, and cross-functional collaboration skills.
Benefits
- Hybrid workplace emphasizing flexibility and in-person collaboration; employees located near an office must be able and willing to work from the office.
Tech Stack
Categories
About Sauce Labs Inc.
Sauce Labs builds a SaaS platform for automated and manual testing of web and mobile applications, offering a cloud of real devices and virtual browsers with Selenium/Appium support and CI/CD integrations. It sells to software and QA teams at enterprises, with offerings that include AI-assisted test authoring and test analytics. Founded in 2008 and headquartered in San Francisco, the company is privately held and widely used by large enterprise customers, including in finance.