AWS Data & AI Platform Engineer

Memphis, TN - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

AWS Data & AI Platform Engineer

Location: REMOTE or Memphis TN

Duration: 18 Months Extensions (Long-term contract w/ no end date. Could possibly go perm if candidate desires)

Interview: Virtual - but local to Memphis need to go for in-person

Note:
Need local to TN or nearby state but away from Memphis otherwise the client asks you for an in-person meet
LinkedIn with proper mentioned location

Position Overview

We are seeking a highly hands-on AWS Data & AI Platform Engineer to support an Enterprise Architecture organization through the development of cloud data and AI reference implementations.

This role is primarily implementation-focused with approximately 80% hands-on engineering responsibility. The selected candidate will design and build working reference solutions that demonstrate modern AWS data and AI capabilities which can be adopted and scaled across enterprise platforms.

This is not a governance or documentation-only architecture role. Success in this position requires strong engineering execution Python development expertise and experience building production-grade AWS data solutions.

Key Responsibilities

AWS Data Platform Engineering

Design and implement cloud-native data solutions using AWS services
Develop scalable data pipelines and processing workflows using Python
Build reference implementations demonstrating modern AWS data platform capabilities
Support modernization initiatives by prototyping solutions aligned with enterprise architecture direction

AI & Intelligent Automation Development

Develop programmatic AI agents that interface with existing enterprise APIs and data platforms
Implement AI-enabled automation solutions leveraging enterprise datasets
Support integration of AI services into data and application environments

Reference Architecture & Prototyping

Deliver proof-of-concept and reference implementations as directed by Enterprise Architecture leadership
Translate architectural concepts into working technical solutions
Demonstrate scalable patterns for enterprise adoption

Cloud Deployment & DevOps Practices

Develop and deploy containerized workloads using Docker or similar technologies
Support cloud-native deployment and automation practices
Contribute to scalable reliable and maintainable platform implementations

Required Qualifications

8 10 years of experience in data engineering cloud engineering or platform development
Strong hands-on experience with AWS data services including:
- AWS Glue
- Amazon Redshift
- AWS Bedrock
Advanced Python development experience in data or automation environments
Experience building data pipelines or data processing solutions in AWS
Experience integrating systems through APIs and data services
Experience working with containerized deployments
Strong problem-solving and technical communication skills
Ability to convert architectural direction into working implementations

Preferred Qualifications

Experience with workflow orchestration or transformation tools such as:
- Apache Airflow
- dbt
Experience with data processing frameworks or libraries:
- Spark
- Pandas
- Polars
Experience working with open data and modern file formats
Exposure to AI or LLM-based automation solutions
DevOps-minded development approach
Experience applying data security practices such as masking encryption or role-based access controls

Ideal Candidate Background

Candidates may come from roles such as:

Senior AWS Data Engineer
AWS Data Platform Engineer
AI / Data Platform Engineer
Principal Data Engineer
Cloud Data Engineer

Expected Deliverables

During the contract engagement the engineer will:

Build AWS-based data and AI reference implementations
Deliver proof-of-concept solutions supporting enterprise modernization initiatives
Demonstrate reusable architectural patterns for enterprise adoption
Support Enterprise Architecture teams through hands-on technical implementation

Work Environment

Remote or Memphis-based engagement
Standard business hours aligned to Central Time
Collaborative engagement with Enterprise Architecture and engineering teams

AWS Data & AI Platform Engineer Location: REMOTE or Memphis TN Duration: 18 Months Extensions (Long-term contract w/ no end date. Could possibly go perm if candidate desires) Interview: Virtual - but local to Memphis need to go for in-person Note: Need local to TN or nearby state but away fro...