AWS Architect-AI and Data Solutions Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and deployment of enterprise-scale AI and data solutions on AWS, managing full project lifecycle including estimation and execution.
Own technical architecture preparation, clarify requirements, resolve ambiguities, enforce technical standards and designs, and guide junior team members.
Collaborate with global cross-functional teams and clients to ensure timely delivery, automate routine tasks, and manage deliverables and reporting.
Minimum Requirements
6-9 years of relevant consulting, industry, or technology experience.
Proficiency with AWS services including EC2 provisioning, Lambda, API Gateway, RDS, Redshift, DMS, S3, Kinesis, CodeBuild/Deploy/Pipeline, CloudWatch, and CloudTrail.
Experience with cloud migration, VPN setup, disaster recovery, AWS CLI/SDKs, and programming in Python, Perl, Ruby, or UNIX shell scripting.
Bachelor’s or Master’s degree in BE/B.Tech/MCA/M.Sc or equivalent from accredited university.
Ideal Candidate Profile
Experienced AWS architect with hands-on expertise in cloud-native AI/data platform design, migration, and operational tooling.
Ability to own end-to-end solution delivery and provide technical leadership and mentoring in agile environments.
Familiarity with cloud security architectures, Spark programming (Scala/Pyspark/Java), DevOps automation, and maintaining production-grade cloud applications.