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Cloud Engineer Data Scientist Jobs (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers ... Cloud development experience, preferably in AWS * Excellent verbal and written communication skills

Verily

Cloud Engineer III

Raleigh, NC · On-site

$54.25 - $72.50/hr

Uniquely positioned at the intersection of technology, data science, and healthcare, Verily ... Description As a Cloud Engineer at Verily you will help us develop our cloud platform capabilities ...

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers ... Cloud development experience, preferably in AWS * Excellent verbal and written communication skills

Unchain Data

Data Scientist

Miami, FL · On-site

... Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging ... Partner with Data Operations and Software Engineering to improve ingestion, transformation ...

Unchain Data

... Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging ... Partner with Data Operations and Software Engineering to improve ingestion, transformation ...

Kanini Software Solutions

We are hiringa pioneering, fully autonomous Senior AI Engineer/Data Scientist toown the complete ... SnowflakeData Cloud: querying, Snowpark for Python ML pipelines * SnowflakeCortex AI / ML Functions ...

Accenture Federal Services

Cloud Engineer

Arlington, VA · On-site

$64.25 - $85.75/hr

... Data Science, Software Engineering, or related field • Must meet DoD 8140 requirements • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position ...

Parsons Corporation

Senior Data Scientist

Aberdeen, MD · On-site

Professional certifications in cloud platforms, data engineering, or data science/ML Specialized ... Experience * Experience supporting DoD, defense, ISR, C-UAS, or other mission/operations-focused ...

Verily Life Sciences

Senior Cloud Engineer

Raleigh, NC · On-site

$54.25 - $72.50/hr

Uniquely positioned at the intersection of technology, data science, and healthcare, Verily ... Description As a Cloud Engineer at Verily you will help us develop our cloud platform capabilities ...

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Cloud Engineer Data Scientist information

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How much do cloud engineer data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cloud engineer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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For Cloud Engineer Data Scientist jobs, the most frequently searched job titles are:

Artificial Intelligence & Cloud Engineer

Norfolk, VA • On-site

Vets Hired
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Vets Hiredexternal

$54 - $72/hr

Full-time

Posted 9 days ago

Job description

Job Summary

The Artificial Intelligence & Cloud Engineer designs, builds, secures, and scales AI-powered systems within cloud environments. The role combines artificial intelligence, machine learning, cloud engineering, software development, retrieval systems, multi-agent architectures, vector databases, and secure AI deployment. The engineer will develop production-grade AI applications and microservices while collaborating with data scientists, designers, and subject matter experts in an Agile environment.

Key Responsibilities
  • Architect and implement scalable multi-agent AI systems.
  • Develop advanced routing and hierarchical multi-agent architectures.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
  • Develop semantic search and information retrieval systems.
  • Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
  • Integrate AI capabilities into user-facing products.
  • Collaborate with data scientists, UI/UX designers, and subject matter experts.
  • Establish security best practices for large language model implementations.
  • Protect sensitive information through secure data handling and privacy controls.
  • Implement AI model guardrails and other AI security measures.
  • Develop robust RESTful APIs supporting AI and cloud applications.
  • Support Linux-based development and cloud environments.
  • Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
  • Support cybersecurity risk management and system hardening activities.
  • Evaluate and adopt emerging AI technologies and engineering practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience.
  • At least 2 years of production experience in AI, ML, or NLP development.
  • Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
  • Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
  • Strong programming skills in Python or a similar programming language.
  • Experience developing RESTful APIs.
  • Hands-on experience deploying and managing AWS or OCI cloud services.
  • Proficiency with Linux operating systems and command-line interfaces.
  • Expertise in text analytics and prompt engineering.
  • Experience with data normalization and cleaning.
  • Active Secret security clearance.
  • Current CompTIA Security+ certification or higher.
  • Knowledge of AI security practices, model guardrails, and secure data handling.
  • Experience working in Agile and cross-functional development environments.
  • Strong problem-solving skills and ability to learn emerging AI technologies quickly.
Preferred Qualifications
  • Experience with NAVSEA Cyber RMF processes and system security hardening.
  • Familiarity with Rust, Go, or JavaScript.
  • Industry-recognized cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.