AI/ML Architect
66degrees (company site, opens in a new tab)On-siteDirect career pageEst. 30–60 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and ship production AI/ML systems for enterprise clients, owning the architecture and production lifecycle on Google Cloud.
- Lead and develop a team of engineers, delegating work, reviewing critical code, and ensuring delivery aligns to client needs and success criteria.
- Act as primary client technical contact: run discovery, manage scope, present to executives, and escalate risks with business impact and options.
Minimum Requirements
- Proven experience designing, building, and operating multiple production ML/AI systems, including generative or agentic AI in production.
- Leadership experience managing engineering teams with accountability for architecture and delivery.
- Strong hands-on software engineering skills (expert Python, SQL, containers, CI/CD) and production familiarity with hyperscalers (Google Cloud preferred).
- Bachelor's degree in computer science, data science, engineering or equivalent experience; Work Experience Required: Not explicitly mentioned in the JD; Must be based in India with no visa sponsorship.
Ideal Candidate Profile
- Experienced technical leader comfortable owning complex AI/ML architecture and guiding a production team through delivery phases under shifting scope.
- Able to communicate complex technical solutions clearly to both engineers and executive clients, maintaining executive presence and independently managing client relationships.
- Skilled across the AI/ML stack including data pipelines, multiple ML techniques, generative AI, and deployment on cloud platforms, with working knowledge of agentic AI production patterns.