About this role
As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.
What You’ll Do:
Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
Creating and maintaining data extraction, transformation, and loading processes
Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
Implementing data lakes using S3 and related AWS services
Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Writing and testing SQL queries and stored procedures
Documenting technical solutions and providing knowledge transfer to customers
Supporting the implementation of data governance and security controls
Troubleshooting and resolving issues with data pipelines and AI services
Participating in code reviews and implementing feedback
Assisting with proof-of-concept implementations for customer engagements
Required Skills:
5+ years of software engineering experience with at least 2+ years focused on 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
Strong understanding of software engineering best practices (version control, testing, code review, documentation)
Experience working in agile/scrum environments with distributed teams
Excellent problem-solving skills and ability to work independently with minimal supervision
Strong written and verbal communication skills for client-facing interactions
Preferred:
Technical familiarity with AWS data and AI/ML services and modern data engineering practices
Hands-on experience with ETL/ELT processes and data transformation
Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
Ability to write and optimize SQL queries across various database platforms
Knowledge of data modeling concepts and best practices
Strong analytical and problem-solving skills
Eagerness to learn new technologies and keep up with cloud and AI innovations
Excellent communication skills with the ability to explain technical concepts clearly
Attention to detail and commitment to solution quality
Collaborative mindset with strong teamwork capabilities
Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.
What You’ll Do:
Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
Creating and maintaining data extraction, transformation, and loading processes
Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
Implementing data lakes using S3 and related AWS services
Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Writing and testing SQL queries and stored procedures
Documenting technical solutions and providing knowledge transfer to customers
Supporting the implementation of data governance and security controls
Troubleshooting and resolving issues with data pipelines and AI services
Participating in code reviews and implementing feedback
Assisting with proof-of-concept implementations for customer engagements
Required Skills:
5+ years of software engineering experience with at least 2+ years focused on 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
Strong understanding of software engineering best practices (version control, testing, code review, documentation)
Experience working in agile/scrum environments with distributed teams
Excellent problem-solving skills and ability to work independently with minimal supervision
Strong written and verbal communication skills for client-facing interactions
Preferred:
Technical familiarity with AWS data and AI/ML services and modern data engineering practices
Hands-on experience with ETL/ELT processes and data transformation
Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
Ability to write and optimize SQL queries across various database platforms
Knowledge of data modeling concepts and best practices
Strong analytical and problem-solving skills
Eagerness to learn new technologies and keep up with cloud and AI innovations
Excellent communication skills with the ability to explain technical concepts clearly
Attention to detail and commitment to solution quality
Collaborative mindset with strong teamwork capabilities
Experience or interest in automation and infrastructure as code
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.
Tech stack
AWS
About Innovative Solutions
Innovative Solutions is hiring for the cloud engineer- data/ai focused role. NewJob aggregates active openings directly from Innovative Solutions's applicant tracking system, so this listing is current.
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