Remote AI Data Engineer Jobs
Remote AI Data Engineer jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, financial services, and healthcare. Employers hiring remotely right now include Revstar, ServiceNow, and Innodata. See the openings below and apply to the ones that match your experience.
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Position: Technical Advisor
Employment Type: Full-Time
Work Location: Remote
Industry: Federal Government / Federal IT Consulting
Position Overview
We are seeking a highly experienced Technical Advisor to serve as a senior technical resource supporting our internal teams and Federal Government customers.
The Technical Advisor will provide technical leadership, solutioning, architecture guidance, and strategic recommendations across Cloud, Application, Data, Artificial Intelligence (AI), Cybersecurity, and emerging technologies.
This position is ideal for a technology leader who has a broad understanding of modern IT and can translate complex Federal customer requirements into practical, scalable, secure, and technically compelling solutions.
The Technical Advisor will work closely with leadership, business development, capture, proposal, recruiting, and delivery teams to shape technical solutions and support Federal customer engagements.
Key Responsibilities
- Serve as a senior technical advisor and subject matter expert for internal teams and Federal customer engagements.
- Develop and evaluate technical solutions across:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Application Architecture and Modernization
- Data Engineering, Data Platforms, Analytics, and Data Architecture
- Artificial Intelligence, Generative AI, Machine Learning, and Large Language Models
- Application Programming Interfaces (APIs) and Microservices
- Cybersecurity and Zero Trust
- DevSecOps and Cloud-Native Architecture
- Containers and Kubernetes
- Infrastructure as Code (IaC)
- Emerging and next-generation technologies
- Analyze Federal Requests for Proposals (RFPs), Requests for Information (RFIs), Statements of Work (SOWs), Performance Work Statements (PWSs), and Statements of Objectives (SOOs).
- Translate customer requirements into comprehensive technical approaches and solution architectures.
- Develop technical solution narratives, architecture concepts, technology stacks, implementation strategies, and technical diagrams.
- Support capture and proposal development, including technical volumes, solution concepts, staffing approaches, and technical presentations.
- Review technical solutions for feasibility, scalability, security, performance, maintainability, and cost effectiveness.
- Advise leadership on emerging technologies and their applicability to Federal Government missions.
- Evaluate new cloud, AI, data, cybersecurity, and application technologies and recommend appropriate adoption strategies.
- Participate in technical discussions, customer meetings, architecture reviews, demonstrations, and presentations.
- Provide technical guidance and mentorship to engineering, architecture, and delivery teams.
- Collaborate with business development and capture teams to identify technical differentiators and win themes.
- Help develop reusable technical capabilities, reference architectures, solution frameworks, and technical accelerators.
- Stay current with rapidly evolving technologies and Federal Government technology priorities.
Federal Government Focus
The Technical Advisor will support solutions for Federal Government customers and should understand the unique technical, security, compliance, and acquisition considerations associated with Federal environments.
Experience with the following is highly desirable:
- Federal IT modernization
- Cloud migration and modernization
- Federal cloud adoption
- Zero Trust Architecture
- National Institute of Standards and Technology (NIST) frameworks
- Federal Risk and Authorization Management Program (FedRAMP)
- Federal Information Security Modernization Act (FISMA)
- Authority to Operate (ATO) processes
- Cybersecurity and compliance requirements
- Federal acquisition and proposal processes
Required Qualifications
- 10+ years of experience in IT architecture, technology consulting, engineering, solution architecture, or technical leadership.
- Demonstrated experience developing enterprise-level technical solutions and architectures.
- Strong experience with one or more major cloud platforms, including AWS, Azure, or GCP.
- Broad technical knowledge across Cloud, Application, Data, AI, and Cybersecurity.
- Experience translating complex business and technical requirements into practical solution architectures.
- Experience supporting technical solutioning, proposals, capture activities, or customer engagements.
- Strong technical writing, presentation, and communication skills.
- Ability to communicate complex technical concepts to both technical and executive audiences.
- Ability to work across multiple technology domains and quickly evaluate new technologies.
- Experience supporting U.S. Federal Government customers or Federal contractors.
Preferred Qualifications
- Experience as a Solution Architect, Enterprise Architect, Principal Architect, Chief Architect, Cloud Architect, or Technical Advisor.
- Experience with Artificial Intelligence and Generative AI technologies, including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Machine Learning
- AI platforms and services
- AI governance and responsible AI
- Experience with modern data platforms and technologies.
- Experience with cloud-native application modernization.
- Experience with DevSecOps, CI/CD, Kubernetes, containers, and Infrastructure as Code.
- Experience developing Federal technical proposals and responses to RFPs/RFIs.
- Relevant professional certifications such as:
- AWS Certified Solutions Architect
- Microsoft Certified: Azure Solutions Architect Expert
- Google Cloud Professional Cloud Architect
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- TOGAF
- Other relevant cloud, architecture, cybersecurity, data, or AI certifications.
Ideal Candidate
The ideal candidate is a senior technology strategist and solution architect who can operate across multiple technical disciplines.
Rather than being limited to one technology, this individual should understand how Cloud, Applications, Data, AI, Security, and emerging technologies work together to solve complex customer problems.
The candidate should be able to take a Federal customer requirement and determine:
What should we build?
How should we build it?
Which technologies should we use?
How should the solution be secured and scaled?
Why is this the right solution for the customer?
Strong candidates will combine deep technical expertise, broad technology awareness, Federal Government experience, and excellent solutioning and communication skills.
Position Details
- Full-Time
- 100% Remote
- Senior-level advisory and technical solutioning position
- Supports internal teams and Federal Government customers
- Opportunity to influence Cloud, Data, Application, AI, and emerging technology strategies
- Competitive salary and benefits based on experience
Position: Technical Advisor
Employment Type: Full-Time
Work Location: Remote
Industry: Federal Government / Federal IT Consulting
Position Overview
We are seeking a highly experienced Technical Advisor to serve as a senior technical resource supporting our internal teams and Federal Government customers.
The Technical Advisor will provide technical leadership, solutioning, architecture guidance, and strategic recommendations across Cloud, Application, Data, Artificial Intelligence (AI), Cybersecurity, and emerging technologies.
This position is ideal for a technology leader who has a broad understanding of modern IT and can translate complex Federal customer requirements into practical, scalable, secure, and technically compelling solutions.
The Technical Advisor will work closely with leadership, business development, capture, proposal, recruiting, and delivery teams to shape technical solutions and support Federal customer engagements.
Key Responsibilities
- Serve as a senior technical advisor and subject matter expert for internal teams and Federal customer engagements.
- Develop and evaluate technical solutions across:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Application Architecture and Modernization
- Data Engineering, Data Platforms, Analytics, and Data Architecture
- Artificial Intelligence, Generative AI, Machine Learning, and Large Language Models
- Application Programming Interfaces (APIs) and Microservices
- Cybersecurity and Zero Trust
- DevSecOps and Cloud-Native Architecture
- Containers and Kubernetes
- Infrastructure as Code (IaC)
- Emerging and next-generation technologies
- Analyze Federal Requests for Proposals (RFPs), Requests for Information (RFIs), Statements of Work (SOWs), Performance Work Statements (PWSs), and Statements of Objectives (SOOs).
- Translate customer requirements into comprehensive technical approaches and solution architectures.
- Develop technical solution narratives, architecture concepts, technology stacks, implementation strategies, and technical diagrams.
- Support capture and proposal development, including technical volumes, solution concepts, staffing approaches, and technical presentations.
- Review technical solutions for feasibility, scalability, security, performance, maintainability, and cost effectiveness.
- Advise leadership on emerging technologies and their applicability to Federal Government missions.
- Evaluate new cloud, AI, data, cybersecurity, and application technologies and recommend appropriate adoption strategies.
- Participate in technical discussions, customer meetings, architecture reviews, demonstrations, and presentations.
- Provide technical guidance and mentorship to engineering, architecture, and delivery teams.
- Collaborate with business development and capture teams to identify technical differentiators and win themes.
- Help develop reusable technical capabilities, reference architectures, solution frameworks, and technical accelerators.
- Stay current with rapidly evolving technologies and Federal Government technology priorities.
Federal Government Focus
The Technical Advisor will support solutions for Federal Government customers and should understand the unique technical, security, compliance, and acquisition considerations associated with Federal environments.
Experience with the following is highly desirable:
- Federal IT modernization
- Cloud migration and modernization
- Federal cloud adoption
- Zero Trust Architecture
- National Institute of Standards and Technology (NIST) frameworks
- Federal Risk and Authorization Management Program (FedRAMP)
- Federal Information Security Modernization Act (FISMA)
- Authority to Operate (ATO) processes
- Cybersecurity and compliance requirements
- Federal acquisition and proposal processes
Required Qualifications
- 10+ years of experience in IT architecture, technology consulting, engineering, solution architecture, or technical leadership.
- Demonstrated experience developing enterprise-level technical solutions and architectures.
- Strong experience with one or more major cloud platforms, including AWS, Azure, or GCP.
- Broad technical knowledge across Cloud, Application, Data, AI, and Cybersecurity.
- Experience translating complex business and technical requirements into practical solution architectures.
- Experience supporting technical solutioning, proposals, capture activities, or customer engagements.
- Strong technical writing, presentation, and communication skills.
- Ability to communicate complex technical concepts to both technical and executive audiences.
- Ability to work across multiple technology domains and quickly evaluate new technologies.
- Experience supporting U.S. Federal Government customers or Federal contractors.
Preferred Qualifications
- Experience as a Solution Architect, Enterprise Architect, Principal Architect, Chief Architect, Cloud Architect, or Technical Advisor.
- Experience with Artificial Intelligence and Generative AI technologies, including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Machine Learning
- AI platforms and services
- AI governance and responsible AI
- Experience with modern data platforms and technologies.
- Experience with cloud-native application modernization.
- Experience with DevSecOps, CI/CD, Kubernetes, containers, and Infrastructure as Code.
- Experience developing Federal technical proposals and responses to RFPs/RFIs.
- Relevant professional certifications such as:
- AWS Certified Solutions Architect
- Microsoft Certified: Azure Solutions Architect Expert
- Google Cloud Professional Cloud Architect
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- TOGAF
- Other relevant cloud, architecture, cybersecurity, data, or AI certifications.
Ideal Candidate
The ideal candidate is a senior technology strategist and solution architect who can operate across multiple technical disciplines.
Rather than being limited to one technology, this individual should understand how Cloud, Applications, Data, AI, Security, and emerging technologies work together to solve complex customer problems.
The candidate should be able to take a Federal customer requirement and determine:
What should we build?
How should we build it?
Which technologies should we use?
How should the solution be secured and scaled?
Why is this the right solution for the customer?
Strong candidates will combine deep technical expertise, broad technology awareness, Federal Government experience, and excellent solutioning and communication skills.
Position Details
- Full-Time
- 100% Remote
- Senior-level advisory and technical solutioning position
- Supports internal teams and Federal Government customers
- Opportunity to influence Cloud, Data, Application, AI, and emerging technology strategies
- Competitive salary and benefits based on experience
See All 149+ Remote AI Data Engineer Jobs
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Find Remote AI Data Engineer JobsRemote AI Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services9
- Healthcare & Medical Services3
- Education2
- Insurance2
What Employers Look For
The qualifications that appear most often in remote AI data engineer jobs.
- Proficiency in Python and SQL for data pipeline development and transformation
- Experience building and maintaining ML feature pipelines or data platforms at scale
- Hands-on work with orchestration tools such as Apache Airflow, Prefect, or Dagster
- Familiarity with cloud data platforms including AWS, GCP, or Azure data services
- Knowledge of streaming frameworks such as Apache Kafka or Apache Flink
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your Remote AI Data Engineer Job Search
Show async collaboration in your portfolio
Remote employers want evidence you can work without constant check-ins. Document your projects with written READMEs, architecture decision records, and inline comments, because that's the kind of self-explaining output distributed teams depend on from a remote ai data engineer.
Apply early to remote roles that fit
Migrate Mate lists remote ai data engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through irrelevant on-site listings.
Highlight your remote AI toolchain explicitly
Call out the specific tools you use for distributed AI workflows, such as MLflow for experiment tracking, Airflow for orchestration, or dbt for transformation, because remote hiring managers scan for these to judge whether you'll ramp up without in-person training.
Prepare for async-style remote interviews
Many remote teams use take-home assessments or recorded video answers before any live call. Practice explaining your pipeline design decisions in writing and on camera, since remote ai data engineer interviews often weigh your communication clarity as much as your technical output.
Remote AI Data Engineer Jobs: Frequently Asked Questions
How do I get a remote ai data engineer job?
Target companies built on distributed teams, such as remote-first software firms and cloud-native startups, because they already have the infrastructure for async collaboration. Remote employers screen hard for self-direction, clear written communication, and hands-on proficiency with tools like dbt, Spark, Airflow, and vector databases. A public GitHub repo or portfolio project that shows an end-to-end AI pipeline gives you a concrete edge over candidates who only list skills.
Which companies hire remote ai data engineers?
Employers currently hiring remote ai data engineers include Revstar, ServiceNow, and Innodata, per current remote listings on Migrate Mate as of August 2026. Remote-first technology firms, fintech scale-ups, and distributed healthcare data teams make up the bulk of hiring for this role.
Can you get a remote ai data engineer job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one without in-office support. Remote-first startups and smaller distributed teams are more open to junior candidates than large enterprises. Build a demonstrable project, such as a deployed ML pipeline or a public data transformation repo, to show you can execute without hand-holding, and that's often what opens the door.
Do you need a degree for remote ai data engineer jobs?
Not always. Remote employers place significant weight on demonstrated skills, real project output, and familiarity with the modern AI and data stack over formal credentials. A strong portfolio, proficiency in Python, SQL, and ML frameworks, and evidence of shipping production-grade pipelines can carry more weight than a degree, particularly at remote-first companies that evaluate candidates on async work samples.
Which industries hire the most remote ai data engineers?
Remote ai data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, based on current remote listings on Migrate Mate as of August 2026. Those sectors rely on distributed data teams to build and maintain AI pipelines that don't require anyone to be physically on-site.
See All 149+ Remote AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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