AWS Architect-AI and Data Solutions Engineer

Deloitte Development LLC; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Deloitte Consulting is seeking an AI and Data Solutions Engineer to design, develop, and deploy enterprise-scale software solutions. You will lead the creation of robust pipelines and manage code deployment across environments while collaborating with cross-functional, global teams to translate requirements into deliverables.

In this role you will guide junior members, participate in estimation and planning, and ensure high-quality, timely delivery of solutions across the full project lifecycle

Qualifications

• 6-9 years of relevant consulting, industry or technology experience.
• Experience provisioning AWS EC2 instances and cost calculation.
• Experience with serverless architecture (Lambda), API gateway and RESTful services.
• Experience with RDS databases and cloud data warehouses (Redshift).
• Exposure to data migration facilities and streaming services (DMS, Kinesis, S3).
• Experience with DevOps tools (CodeBuild/CodeDeploy/CodePipeline).
• Experience with CloudWatch, CloudTrail for monitoring and security.

Responsibilities

• Lead discussions with business analysts to understand requirements and impacts.
• Prepare technical architecture and design, resolve ambiguities.
• Develop solutions per established designs and standards.
• Create and enforce coding guidelines, templates, and standards.
• Facilitate daily scrums, manage deliverables, and report progress.

Skills

AWS

Spark

Python

Scala

Pyspark

RESTful APIs

Cloud security

Education

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

Tools

AWS CodeBuild

AWS CodeDeploy

AWS CodePipeline

CloudWatch

Kinesis

DMS

EMR

Elasticsearch

Direct Connect

Glue

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 an 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: Bengaluru/Hyderabad/Pune/Chennai

Qualifications

Required:

• 6-9 years of relevant consulting, industry or technology experience
• Experience in provisioning and spinning up AWS EC2 instances - on‑Demand, Spot, dedicated instances, and cost calculation.
• Experience with server less architecture (Lambda), API gateway and RESTful services/JSON etc.
• Experience with one or more relational databases on AWS RDS - Oracle/ SQL Server/ MySQL and/or cloud data warehouse databases such as AWS Redshift
• Exposure to Data migration facilities such as DMS, S3 COPY, streaming, Kinesis, Batch Experience in developing applications on AWS Cloud infrastructure.
• Exposure to DevOps tools, deployment and orchestration technologies such as AWS CodeBuild, CodeDeploy, AWS CodePipeline etc.
• Experience with monitoring resources and applications using CloudWatch metrics, alarms and logs and tracking user activity, API usage using CloudTrail
• Experience with cloud assessment and migration on‑premise workloads onto AWS.
• Expertise in AWS Architecture, Automation Tools and understanding of the agile development process.
• Experience in Migration from on‑prem to Cloud using AWS migration tools
• Experience with VPN connectivity between regions and subnets
• Experience with Business Continuity and Disaster Recover design, planning and implementation for cloud infrastructures
• Exposure to one or more - Python, Perl, Ruby or UNIX shell scripting.
• Experience working with AWS Command line utility (CLI) and SDKs.
• Exposure to EMR, Elasticsearch, Kinesis, DynamoDB, Athena, WAF, CloudHMS, Direct Connect, Glue, Load balancer
• Expertise in SPARK programming using Scala or Pyspark or Java
• Experience with cloud security architectures - Encryption (Rest & Motion)

Preferred:

• Experience in Cloud Computing (Public/Private/Hybrid) specifically on Cloud first application development
• Systematic problem‑solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Experience maintaining internet facing production‑grade applications in virtualized environments in Cloud Platform.
• AWS Certified Associate or Professional

Education:

• BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university

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