Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
AI/ML Architect, India — Job Description
Overview of Role
An AI/ML Architect at 66degrees designs and ships production AI systems for enterprise clients and leads the engineers who build them. The Architect is the senior technical person on an engagement: the primary technical point of contact for the client, the owner of the architecture, and the person the team takes direction from.
The role is hands-on and client-facing in equal measure. Architects take a business problem, define the solution and the value it delivers, and then build and deploy it. They write and review code, make the architectural decisions, and stay with the system through production. They also run discovery, present to client executives, and are the face of 66degrees on the engagement.
This role is based in India and works daily with US-based colleagues and clients. Engagements typically run 12 to 16 weeks and are delivered by a Delivery Manager, one or more Architects, and a team of engineers.
Why this role
2026 Google Cloud AI Partner of the Year. This team's work won the Artificial Intelligence category this year, one of four Partner of the Year awards 66degrees has earned. You're joining the top of the Google Cloud AI ecosystem
About 60% of the work is generative and agentic AI, in production, for clients up to the Fortune 10. The rest is classical ML and MLOps, so you build real agents without losing the rest of the craft.
New problem, new client, every 12 to 16 weeks. You build range fast and never spend three years on one system
The whole stack. Architects span infrastructure, software, data, ML, AI, and analytics. The role is built to make you a well-rounded technologist, not to keep you in one lane
Player-coach all the way up. Growth here doesn't mean giving up the craft. Leaders still build, and the management track is open because the team keeps growing, not because someone has to leave
No up-or-out, no partner-track politics. Nobody is competing to differentiate themselves; everyone is trying to be the best technologist in the room, which is why people share what they know
The team has grown roughly tenfold in three years and people stay. The few who've left went on to top tech firms and AI startups
Responsibilities
Build
Design the architecture for each engagement: data pipelines, classical ML, agentic and generative AI, and the production path on Google Cloud, with the trade-offs written down
Write and review the code that matters: core logic, orchestration, evaluation, the parts an engineer shouldn't be guessing at
Take systems to production and own them through handoff: deployment, monitoring, drift, retraining, incident response, and a client who can run it after we leave
Choose the right approach for the problem, and defend it on cost, explainability, and fit rather than on what's fashionable
Lead the team
Direct a team of engineers: write the brief with the reasoning, not only the tasks; confirm it landed before code is written; review the work
Run a team where engineers raise problems early and are heard when they do