- Location
- Reports into Rochester, NY · Charlotte, NC · Nashville, TN · New York City, NY · Washington, DC · Philadelphia, PA · Atlanta, GA
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Experience
- 2+ years
- Source
- Lever
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.
Skills
AWSSQLDynamoDBMachine LearningData EngineeringETLAgileScrumEMR
