Pay
Lower than most similar jobs
$100K–$160K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Cloud Engineer- Data/AI Focused
- Pay
USD 100,000–160,000/year — pay source
Salary 100,000 – 160,000 USD per year Employment type
Read the full posting- Work setting
Working pattern needs review — work setting source
- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingBuild data pipelines with Glue, Lambda, Step Functions, and EMR
Build generative AI applications on Amazon Bedrock and Claude
Build and optimize RAG pipelines with vector databases
Develop AI agents and multi-agent orchestration systems
Configure and optimize AWS databases such as RDS, Aurora, Redshift, and DynamoDB
From the employer’s posting
Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
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
Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
What you’ll bring
All qualificationsCore experience
- 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
- Hands-on experience with ETL/ELT processes and data transformation
- Excellent communication skills with the ability to explain technical concepts clearly
- Experience or interest in automation and infrastructure as code
- 2+ years of hands-on AWS experience with production deployments
- Ability to write and optimize SQL queries across various database platforms
Qualification wording
5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
Hands-on experience with ETL/ELT processes and data transformation
Excellent communication skills with the ability to explain technical concepts clearly
Experience or interest in automation and infrastructure as code
2+ years of hands-on AWS experience with production deployments
Ability to write and optimize SQL queries across various database platforms
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 45
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Feb 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Innovative Solutions is hiring
2 open jobs
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- DynamoDB
- Redshift
- S3
Where the posting names them
- 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
- 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
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:
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
- 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
- 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
- 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)
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
Your next step
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
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.
Salary
100,000 – 160,000 USD per year
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 100,000 – 160,000 USD per year Employment type
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.