Cloud Engineer- Data/AI Focused

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

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.