--- title: 'AI/ML Architect at 66degrees' canonical: 'https://feeny.ai/job/ai-ml-architect-66degrees-india-84yk572wzk3f' type: 'job' last_seen: '2026-11-07' --- # AI/ML Architect at 66degrees - **Company:** 66degrees - **Location:** India - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-07 - **Apply:** https://job-boards.greenhouse.io/66degrees/jobs/6247179004 ## Job description ## 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. ## 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 - Develop engineers: pairing, giving them the client call, making them present the design review, and telling the Delivery Manager who is ready for more - Delegate real work and still own the hard parts. Not a solo builder; not a delegator who only checks in Own the client relationship - Run discovery: turn an ambiguous ask into a scoped plan with success criteria the client agrees to - Hold the solution to what the client actually needs, and when scope and need diverge, raise it early with options and what each costs - Raise risk the day you see it, up and across, in business terms, with options. Report "on track" only when it is - Present to client executives: the design, the trade-offs, the status, and the recommendation, answer first - Spot expansion: where the client's next problem is, and tell sales ## Qualifications Technical (required) - Has personally designed and shipped production ML or AI systems, more than once, and owned them after launch. This is a hard requirement: an Architect who cannot point to systems they built and ran is not an Architect, whatever else is on the resume - A data science foundation with range: several technique families (classification, forecasting, NLP, deep learning, recommendation, anomaly detection) each tied to a real business outcome. Depth in a few, breadth across the rest - Has built a generative or agentic AI system that real users depended on: the architecture end to end, where the tools ran, how cost and latency were handled, and how quality was measured. A serious RAG system or single-agent workflow with real evaluation discipline qualifies; a chatbot demo does not - Production fluency on a hyperscaler: Google Cloud preferred (Vertex AI, BigQuery, Cloud Run or GKE); deep AWS or Azure experience with a credible translation is acceptable - Strong software engineering: expert Python and SQL, containers, CI/CD, and the habits that make code someone else can run - Currently hands-on, with recent, specific examples of code written and architectural decisions made Leadership and delivery (required) - Currently leads a team of engineers or data scientists, delegating real work while owning the architecture and core logic - A repeatable method for taking an engagement from discovery through handoff: phases, milestones, who does what, validation before anything ships - A track record of reshaping scope when the original ask wasn't the right solution, and of making the business case for the change Communication and judgment (required) - Answers the question asked, first, then the detail. Adjusts depth for the audience: can explain a system to an engineer and to a CFO in the same hour - Executive presence: speaks with conviction, holds a position under challenge, and is someone we would put in front of a client executive next week without coaching - Raises risk before it becomes a problem, to the person who can act on it, with a proposed fix. Comfortable disagreeing with senior people when the work calls for it - Comfortable operating with autonomy across a significant time-zone gap with US colleagues and clients Education - Bachelor's degree in computer science, data science, engineering or a related field, or equivalent experience ## Preferred - Consulting or professional services background, with fluency in SoWs, scope, and billable delivery - Google Cloud certifications, or delivery alongside Google teams - Experience with agentic frameworks and patterns in production: tool calling, state management, MCP, multi-step orchestration, policy-guarded loops - Regulated-industry delivery (financial services, healthcare) where explainability and audit are requirements, not features - Daily use of AI coding assistants and agents in your own work, with a view on where they help and where they get in the way - Experience working with a US-based team from India, and a point of view on how to make it work What the job demands - The client sees you. You present the design, you deliver the bad news, you defend the recommendation. The strength of the 66degrees brand on an engagement is the Architect leading it - The plan will be wrong sometimes. Client problems rarely arrive fully defined, and scope moves. Working out what's really needed and saying so is the job, not an exception to it - Your engineers learn from you. If you raise risks, they will. If you don't, they won't. You set the standard for how the India team works - The US is asleep for half your day. You will make decisions with incomplete direction and own them. This role works a shifted schedule: online through 2:00 PM US Eastern (11:30 PM IST), so that most of the US working day overlaps with yours - It's hands-on. If your week has become meetings and status calls, this is not the role ## About 66degrees and the AI/ML practice 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge 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. The AI/ML practice spans roughly 100 specialists across the U.S., Canada, the UK, France, and India, working across three pillars: agentic and generative AI; classical ML; and MLOps and AgentOps. The India team is being built to own engagements end to end, with a path from Engineer to Architect that runs through India. Please note, we cannot sponsor or transfer any visas, of any kind, at this time. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team. ## About 66degrees ## Company Overview - **One-liner**: 66degrees is an enterprise AI transformation and Google Cloud partner that helps organizations build intelligent, agentic systems by modernizing data, applications, and infrastructure. - **Entity Type**: Private (acquired by The Marketing Junction in February 2026) - **Headquarters**: Chicago, Illinois, United States - **Founded**: 2009 - **Founders**: Not publicly available (the company was formed through the merger of Cloudbakers and Qwinix) ## Core Business - **Primary industries**: Enterprise AI/ML services, Google Cloud consulting and implementation, data analytics, application modernization - **Target customers**: Large enterprises across retail, healthcare & life sciences, financial services, travel & hospitality, supply chain, manufacturing, and energy/utilities (B2B, Enterprise) - **Mission or purpose statement**: “To guide enterprises through the age of AI and shape the future of work” – helping clients turn complexity into clarity by building the Agentic Enterprise. ## Products & Services - **Agentic AI**: Design and deploy custom AI agents that orchestrate complex business workflows, automate customer touchpoints, and improve employee productivity. - **Data & Analytics**: Data strategy, governance, predictive analytics, and AI-ready platform modernization (leveraging BigQuery, Vertex AI, etc.). - **Application Modernization**: Develop cloud-native apps on Google Cloud integrated with AI/ML services for agility and scalability. - **Customer Engagement Suite**: AI-driven customer experiences using Google Cloud’s contact center tools (e.g., Gemini) to enhance satisfaction and reduce costs. - **Gemini Enterprise**: Enterprise adoption of Google’s Gemini models for productivity and innovation. - **Infrastructure**: Migration and modernization of legacy infrastructure to a unified, AI-ready cloud platform. - **Managed Services & MLOps/LLMOps**: Ongoing performance monitoring, cost management, and governance for AI models in production. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding – Not publicly available (no public funding rounds; growth has been organic and through acquisitions) - **Notable Investors/Partners**: - **Google Cloud** – Diamond Partner, multi-year Partner of the Year for AI and North American expansion - **The Marketing Junction** – acquirer (February 2026) - **Growth Signals**: - Opened a Chicago Global Headquarters and Client Innovation Center in 2025 - Added offices in Pune, India (3rd global office) and expanded Bengaluru Indian HQ - 2025 Google Cloud Partner of the Year for Artificial Intelligence - Claims 90% automation of customer touchpoints for a travel & hospitality leader and $10M annual savings for a Fortune 250 client - Grew AI/ML practice significantly year-over-year in 2024 ## Competitive Advantages - **Deep Google Cloud Specialization**: Only a handful of firms hold Diamond Partner status across AI, Data & Analytics, and Infrastructure competencies. - **Proven Client ROI**: Demonstrates quantifiable results (e.g., $10M savings, 70% automation, 4x improvements in call center quality). - **Agentic AI Lifecycle Management**: End-to-end capabilities from strategy to deployment to ongoing governance (MLOps/LLMOps). - **Combined Expertise**: Convergence of top-tier firms (Cloudbakers, Qwinix, Pandera Systems) creating a dedicated, cohesive practice focused solely on Google Cloud and AI. ## Strategic Focus - **Agentic Enterprise**: Helping clients move beyond AI pilots to production-ready agentic systems that transform business workflows. - **Data Modernization**: Building unified, AI-ready data platforms from fragmented legacy systems. - **Global Scale**: Expanding delivery footprint across North America, India, and Europe to serve enterprise clients. - **Continuous AI Governance**: Ensuring AI investments are predictable, secure, and cost-efficient through managed services. ## Why Work Here - **Cutting-Edge Technology**: Work with Google Cloud’s latest AI/ML tools (Vertex AI, Gemini, BigQuery) before they become mainstream. - **Impact at Scale**: Deliver measurable outcomes for global brands – e.g., saving millions in costs or automating majority of customer interactions. - **Growth and Learning**: Multi-year Partner of the Year recognition indicates strong career development opportunities and access to elite training. - **Culture**: Described as a “convergence of world-class engineers, architects, and strategists” with shared purpose and passion. - **Work Model**: Offices in Chicago (HQ), Bengaluru, and Pune; remote/hybrid policy not explicitly stated – likely flexible given global team structure. - **Benefits**: Focus on driving quantifiable impact, innovation, and working on “the most ambitious and complex challenges.” ## Sources 1. [66degrees.com](https://www.66degrees.com/) 2. [About Us – 66degrees](https://www.66degrees.com/about-us) 3. [Careers – 66degrees](https://www.66degrees.com/careers) 4. [CBInsights – 66degrees](https://www.cbinsights.com/company/66degrees) 5. 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