7 days ago
India (city not specified)Staff+
Responsibilities
- Design engagement architectures covering data pipelines, classical ML, agentic and generative AI, and production deployment on Google Cloud.
- Write and review core logic, orchestration, evaluation, and other critical production code.
- Take systems through deployment, monitoring, drift management, retraining, incident response, and client handoff.
- Direct engineers or data scientists, delegate work, review output, pair with team members, and develop their capabilities.
- Run client discovery, define scope and success criteria, reshape solutions when needed, and manage risks and trade-offs.
- Present designs, recommendations, status, and technical trade-offs to client executives.
- Identify potential follow-on client needs and communicate expansion opportunities to sales.
Requirements
- Has personally designed, shipped, and operated multiple production ML or AI systems.
- Has a data science foundation spanning techniques such as classification, forecasting, NLP, deep learning, recommendation, and anomaly detection.
- Has built a production generative or agentic AI system used by real users, including evaluation, cost, latency, and end-to-end architecture considerations.
- Has production experience with Google Cloud, preferably Vertex AI, BigQuery, Cloud Run, or GKE; deep AWS or Azure experience with credible translation is acceptable.
- Demonstrates expert Python and SQL skills, container experience, CI/CD familiarity, and strong software engineering practices.
- Is currently hands-on with recent examples of writing code and making architecture decisions.
- Currently leads engineers or data scientists while retaining ownership of architecture and core logic.
- Can lead engagements from discovery through handoff with defined phases, milestones, validation, and ownership.
- Can communicate technical systems and recommendations to both engineers and executives, including CFO-level audiences.
- Has executive presence, sound judgment, autonomy, and the ability to raise and manage risks across time zones.
- Bachelor's degree in computer science, data science, engineering, or a related field, or equivalent experience.
- Preferred qualifications include consulting or professional services experience, Google Cloud certifications, production agentic AI patterns, regulated-industry delivery, AI coding assistant usage, and experience working with US-based teams from India.
Benefits
- India-based role working daily with US colleagues and clients, with a shifted schedule overlapping the US workday through 2:00 PM US Eastern (11:30 PM IST).
- Engagements typically run 12 to 16 weeks and provide exposure to new clients and problems.
- Opportunity to work across infrastructure, software, data, ML, AI, and analytics, with hands-on technical and leadership growth.
- The company offers both continued technical leadership and a management-track path without an up-or-out model.
- The role does not offer or transfer visas of any kind at this time.
Categories
About 66degrees
66degrees is an AI and cloud consultancy that designs and implements data, analytics, and generative AI solutions on Google Cloud for enterprises. The company provides advisory, engineering, and managed services for cloud migration and data modernization. Founded in 2009 and headquartered in Chicago, it focuses on turning enterprise data into operational outcomes across the Google Cloud stack.