GCP Architect-AI and Data Solutions Engineer

Deloitte Development LLC; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Deloitte Development LLC is seeking an AI & Data Solutions Engineer to design, develop, and deploy enterprise-scale software solutions. You will lead data pipelines, mentor junior members, and collaborate with global teams to translate requirements into effective deliverables.

You will work across full project lifecycles, including estimation, planning, execution, and tracking key metrics, ensuring high-quality delivery. Experience in cloud, data analytics, and ML frameworks is essential.

Qualifications

• 6-9 years of relevant consulting, industry or technology experience.

Responsibilities

• Lead discussions with business analysts to understand requirements and translate them into technical designs.
• Develop enterprise-scale software solutions and robust data pipelines across environments.
• Mentor junior team members and drive delivery through established guidelines and standards.
• Collaborate with onsite clients and cross-functional teams to ensure timely delivery.

Skills

Software development

Data pipelines

ML frameworks

Cloud computing

GCP

Mentoring

Technical leadership

Scrum

Education

BE/B.Tech/M.C.A./M.Sc degree

Tools

GCP Dataflow

BigQuery

Dataproc

Datalab

Dataprep

Pub/Sub

Genomics

TensorFlow

Hadoop

Spark

MapReduce

Job description

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.

Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.

Level: AI and Data Solutions Engineer

As a AI and Data Solutions Engineer at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.

Work you’ll do:

Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.

The team:

AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

AI & Data professionals will work with our clients to:

• Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
• Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.

Location: Hyderabad/Bengaluru/Chennai/Pune

Qualifications

Required:

• 6-9 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.

Preferred:

• 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

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