Cloud Engineer- Data/AI Focused

Innovative Solutions; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading technology firm in North Carolina is seeking a skilled Data/AI Cloud Engineer to implement AWS data and AI/ML services, build ETL pipelines, and develop intelligent data solutions. The role involves collaborating with technical teams to design high-quality, scalable solutions for data engineering and AI applications. Candidates should have 5+ years of software engineering experience, with significant focus on AI/ML and cloud technologies, as well as excellent problem-solving skills and the ability to work independently.

Qualifications

• 5+ years of software engineering experience, with 2+ years focused on AI/ML or data engineering.
• 2+ years of hands-on AWS experience.
• 1+ years of direct Generative AI experience.
• Proven track record delivering production AI applications.
• Experience working in agile/scrum environments.
• Proven track record delivering production AI apps from concept to deployment.
• Experience with agile/scrum and distributed teams.
• Strong problem-solving and independent work ability.
• Excellent written and verbal client communication.

Responsibilities

• Implement data pipelines using AWS services like Glue, Lambda, and EMR.
• Create and maintain data extraction, transformation, and loading processes.
• Configure AWS database services including RDS and Aurora.
• Design production-ready Generative AI applications.
• Troubleshoot and resolve issues with data pipelines.
• Implement data lakes using S3 and related AWS services.
• Design and build production-ready Generative AI applications using Bedrock and foundation models like Claude.
• Build and optimize RAG pipelines with vector databases.
• Develop AI agents and multi-agent orchestration using LangChain or LlamaIndex.
• Write and test SQL queries and stored procedures.
• Document solutions and provide knowledge transfer to customers.
• Support data governance and security controls.
• Troubleshoot data pipelines and AI services; participate in code reviews.
• Assist with PoC implementations for customer engagements.

Skills

AWS data and AI/ML services

ETL/ELT processes

Generative AI concepts

SQL optimization

Analytical and problem-solving skills

Collaboration

Cloud infrastructures

Communication skills

Teamwork

Automation / IaC

Tools

AWS Glue

AWS Lambda

Step Functions

EMR

RDS

Aurora

Redshift

DynamoDB

S3

Bedrock

LangChain

LlamaIndex

SQL

Job description

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs.

Responsibilities

• 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

Top candidates will have the following

• 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

Required Experience for the Role

• Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
• Must have 2+ years of hands‑on AWS experience with production deployments
• Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
• Must have a proven track record delivering production AI applications from concept to deployment
• Must have strong understanding of software engineering best practices (version control, testing, code review, documentation)
• Must have experience working in agile/scrum environments with distributed teams
• Must have excellent problem‑solving skills and ability to work independently with minimal supervision
• Must have strong written and verbal communication skills for client‑facing interactions

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.