AI-Driven Cloud Data Engineer (AWS GenAI)

Innovative Solutions; United States; On-site; USD 130,000 - 180,000; Full time

Job summary

Innovative Solutions is seeking a Data & AI Engineer to design and deploy modern data pipelines and generative AI solutions on AWS. You’ll work on scalable ETL/ELT workflows, cloud data platforms, and production-grade RAG systems for intelligent search and automation.

You will collaborate with clients to deliver secure, scalable, production-ready AI solutions, leveraging Bedrock, Claude, and vector databases. Strong AWS experience and solid communication are essential.

Qualifications

• 5+ years of software engineering experience, with 2+ years in AI/ML, data engineering, or cloud-native development.
• 2+ years of hands-on AWS experience with production deployments.
• 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents).
• Proven track record delivering production AI applications from concept to deployment.

Responsibilities

• Implement data pipelines using AWS services (Glue, Lambda, Step Functions, EMR).
• Create and maintain ETL/ELT processes.
• Configure and optimize RDS, Aurora, Redshift, DynamoDB.
• Build data lakes with S3 and related services.
• Develop GenAI apps using Bedrock and foundation models; enable intelligent search and automation.
• Build and optimize RAG pipelines with vector databases.
• Develop AI agents and multi-agent orchestration with LangChain or LlamaIndex.
• Write and test SQL queries and stored procedures.
• Document solutions and transfer knowledge to customers.
• Support data governance and security controls.

Skills

5+ years software engineering

2+ years AWS

1+ years Generative AI

production AI deployments

engineering best practices

agile/scrum

client-facing communication

Tools

AWS Glue

AWS Lambda

AWS Step Functions

AWS EMR

Amazon Redshift

Bedrock

Claude

LangChain

LlamaIndex

Job description

Innovative Solutions is seeking a Data & AI Engineer to design and deploy modern data pipelines and generative AI solutions on AWS. You’ll work on scalable ETL/ELT workflows, cloud data platforms, and production-grade RAG systems for intelligent search and automation.

You will collaborate with clients to deliver secure, scalable, production-ready AI solutions, leveraging Bedrock, Claude, and vector databases. Strong AWS experience and solid communication are essential.