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AI/ML Architect

4 days, 14 hours ago
India
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure CI/CD Deep Learning GCP Generative AI Machine Learning MLOps NLP Python SQL Vertex AI
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66degrees

66degrees

66degrees: Google Cloud Premier Partner shaping the Future of Work with AI and data solutions.

IT Services
501-1000
View All Jobs

Description

  • Design end-to-end architectures for data pipelines, classical ML, generative and agentic AI, and production deployment on Google Cloud.
  • Write and review core code for system logic, orchestration, and evaluation.
  • Deploy production systems and oversee monitoring, drift management, retraining, incident response, and client handoff.
  • Evaluate and recommend technical approaches based on business fit, cost, explainability, and scalability.
  • Lead engineers by defining solution briefs, delegating work, reviewing deliverables, and resolving technical challenges.
  • Develop engineers through pairing, design reviews, client exposure, and coaching.
  • Lead client discovery to turn ambiguous business needs into scoped plans with agreed success criteria.
  • Manage scope, communicate risks early, and present options and recommendations in business terms.
  • Present architecture, trade-offs, delivery status, and recommendations to client executives.
  • Identify follow-on client opportunities and communicate them to sales.

Requirements

  • Demonstrated experience designing, shipping, and operating multiple production ML or AI systems after launch.
  • Experience building end-to-end generative or agentic AI systems used by real users, including evaluation, cost, latency, and architecture decisions.
  • Broad data science foundation across techniques such as classification, forecasting, NLP, deep learning, recommendation, or anomaly detection.
  • Production cloud experience; Google Cloud is preferred, including Vertex AI, BigQuery, Cloud Run, or GKE; deep AWS or Azure experience is acceptable.
  • Expert-level Python and SQL skills, with experience in containers, CI/CD, and production-quality software engineering practices.
  • Current hands-on coding and architecture experience.
  • Experience leading engineers or data scientists while retaining ownership of architecture and core technical work.
  • Experience delivering engagements from discovery through validation, deployment, and handoff.
  • Ability to communicate effectively with technical teams and client executives and defend recommendations under challenge.
  • Bachelor's degree in computer science, data science, engineering, or a related field, or equivalent experience.
  • Ability to work autonomously with US-based colleagues and clients, including a shifted schedule through 11:30 PM IST.
  • Consulting or professional services experience with SoWs, scope, and billable delivery (preferred).
  • Google Cloud certifications or experience delivering alongside Google teams (preferred).
  • Production experience with agentic frameworks and patterns such as tool calling, state management, MCP, multi-step orchestration, and policy-guarded loops (preferred).
  • Experience in regulated industries such as financial services or healthcare (preferred).
  • Experience working with US-based teams from India (preferred).

Benefits

  • Professional growth through hands-on work across AI, ML, MLOps, data, software, infrastructure, and analytics.
  • Opportunities to lead varied enterprise engagements, typically lasting 12 to 16 weeks.
  • Player-coach career progression that supports continued hands-on technical work.
  • Management career path within a growing India-based AI/ML practice.
  • Collaborative global team spanning the U.S., Canada, UK, France, and India.

Interested in this position?

Apply directly on the company website

Apply Now

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