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Chennai · Hybrid · 5-8 Yrs · 2 days ago
Business consulting · 10000+ Employees · New York, US
Deloitte provides industry-leading audit and assurance, tax and legal, consulting, financial advisory, and risk advisory services to nearly 90% of the Fortune Global 500® and thousands of private companies. Our more than 412,000+ professionals deliver measurable and lasting results that help reinforce public trust in capital markets, enable clients to transform and thrive, and lead the way toward a stronger economy, a more equitable society and a sustainable world. Building on its 178-plus year history, Deloitte spans more than 150 countries and territories. Deloitte US-India Offices is part of region within the Deloitte US organization, with offices across seven cities in India — Hyderabad, Mumbai, Delhi-NCR, Bengaluru, Kolkata, Pune and Chennai.
Hiring: Engineering
What employees say
+ Very good hike and bonus. Flexible with respect to timings.
− Extended work hours is the only con.
More reviews on the company profile.
Interview experience · Technology Manager
The interview process typically includes a telephonic screening, two technical rounds, a managerial round, a CA round, and an HR discussion. The process is well-structured and evaluates technical knowledge, problem-solvi
Difficult difficulty · Bengaluru · 8,233 reports
More interview insightsJob description
Overview
Artificial Intelligence & Engineering
Responsibilities
- Collaborate with the functional team and client to thoroughly understand business requirements. Oversee technical delivery by providing architectural and implementation recommendations.
- Lead documentation efforts, ensuring adherence to standards and best practices. Direct the design and development of solutions, ensuring timely delivery according to project plans.
- Work closely with project leadership to identify and escalate potential risks and prepare status reports. Mentor junior team members and facilitate communication between various teams within the engagement. Respond to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs.
Qualifications
- 10-15 years of relevant consulting, industry or technology experience
- Experience in software development, professional services, solution engineering, and technical consulting with expertise in architecting and rolling out new technology and solution initiatives.
- Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software.
- Experience in GCP Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics
- Experience with core Data Science techniques such as regression, classification or clustering, and experience with deep learning frameworks (such as TensorFlow, Torch, Caffe, Theano, etc).
- Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes
- Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem
- Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity
- Implement proof of concepts to validate cloud concepts, architecture and requirements and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
- Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes
- Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem
- Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity
- Implement proof of concepts to validate cloud concepts, architecture and requirements.
- Knowledge of cloud computing includes virtualization, hosted services, multi-tenant cloud infrastructures, storage systems and content delivery networks.
- Applied experience with machine learning on large datasets.
- Experience working with statistical packages (R, SAS, Stata, MATLAB, etc.), and in working with datasets (SQL).
- Google Certified Professional
Education
- BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university
Benefits
- Recruiting tips
- From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
- Requisition code: 351093
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Job application FAQ
Last updated 27 October 2026
- How do I apply for GCP Architect - Lead AI and Data Solutions Engineer II at Deloitte?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Deloitte may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this GCP Architect - Lead AI and Data Solutions Engineer II role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is GCP Architect - Lead AI and Data Solutions Engineer II remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this GCP Architect - Lead AI and Data Solutions Engineer II role at Deloitte?
- This is a lead GCP Architect - Lead AI and Data Solutions Engineer II role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.