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Remote Robotics Automation Engineer Jobs (NOW HIRING)

phData

AI Automation Engineer - Internal Platform

... is a remote-first global company with employees based in the United States, Latin America, and ... Implement workflow automation using RPA, scripting, and low-code/no-code tools to remove manual ...

DecisionPoint | Cortek

Automation Engineer

This position is fully remote. Duties & Responsibilities The Automation Engineer will: * Maintain and optimize a secure low-code application platform and its associated infrastructure across cloud ...

Futran Tech Solutions Pvt. Ltd.

Automation Engineer

Automation Engineer - 3 Positions Remote Fulltime Mandatory Skills: C#, Selenium, Dicom, HL7 * Overall, 7-9 years of experience * Must have Medicare or Medicate domain exp * Should be proficient in ...

Pretium Packaging

Automation Engineer

Grow boldly with Pretium and be a robotics and automation innovator! About Us: Pretium Packaging ... What You'll Be Responsible For As an Automation Engineer, you'll serve as a critical liaison ...

Bex Partners

Automation Engineer

Phoenix, AZ · On-site +1

Automation Engineer About the Role: Visory is seeking an Automation Engineer to design, build, and ... Phoenix-based hybrid environment preferred, with fully remote options considered for the right ...

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Remote Robotics Automation Engineer information

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$107.1K

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How much do remote robotics automation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote robotics automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Robotics Automation Engineer, and why are they important?

To thrive as a Remote Robotics Automation Engineer, you need a solid background in robotics, automation, programming (such as Python or C++), and often a degree in engineering or a related field. Familiarity with robotic operating systems (ROS), PLCs, CAD software, and certifications like Certified Automation Professional (CAP) are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for designing, implementing, and maintaining automation solutions efficiently in a distributed work environment.

How does a Remote Robotics Automation Engineer typically collaborate with on-site teams to troubleshoot and optimize robotic systems?

Remote Robotics Automation Engineers often use a combination of virtual communication tools, remote desktop applications, and IoT-enabled monitoring systems to collaborate with on-site teams. They regularly participate in video meetings to discuss system diagnostics, review logs, and guide on-site engineers through troubleshooting procedures. Effective communication and clear documentation are essential, as remote engineers must ensure local staff understand and can implement technical recommendations. This collaborative approach helps maintain system uptime and enables continuous process improvements despite physical distance.

What is a Remote Robotics Automation Engineer?

A Remote Robotics Automation Engineer is a professional who designs, develops, and maintains automated robotic systems while working remotely, often from a home office or offsite location. They create software and control systems that enable robots to perform tasks in manufacturing, logistics, healthcare, and other industries. These engineers collaborate with teams using digital tools and may also troubleshoot and optimize robotic processes remotely. Their work helps companies improve efficiency, reduce errors, and increase productivity through advanced automation solutions.
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Remote Robotics Automation Engineer jobs near you
Infographic showing various Remote Robotics Automation Engineer job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 75% Physical, 20% Hybrid, and 5% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
AI Automation Engineer - Internal Platform

AI Automation Engineer - Internal Platform

phData

Remote

Full-time

Posted 26 days ago

Job description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions.We're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
  • 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
  • Fivetran, dbt, Atlation, and AWS Partner of the Year
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

Recognized as an award-winning workplace in the US, India, and LATAM
AI Automation Engineer - Internal Platform
At phData, the Platform team builds and operates our internal Intelligence Platform, powering our Operations, Sales, Delivery, and Finance teams with data, analytics, and AI-driven insights. We provide the core data and technology foundation that helps phData run efficiently and make better decisions every day.
We are seeking an AI Automation Engineer to join our Platform team. This role is a hands-on technical partner to business groups across the organization. The ideal candidate has experience with AI agents and workflow automation and can assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.
As an AI Automation Engineer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI agents, automation, or a combination of both is the right approach, and then design and deliver end-to-end solutions. This is a growth-oriented role for those passionate about using AI and automation to drive impact in how we run phData on AI.
What You'll Do
Business Engagement & Feasibility Assessment
  • Partner with business groups to identify AI/automation opportunities.
  • Assess feasibility (viability, data, integration, ROI, readiness) and help prioritize work across a portfolio of ideas.
  • Translate business problems into clear solution designs and implementation plans.
  • Communicate recommendations in a way that is understandable to both technical and non-technical stakeholders.

AI Agent & Workflow Development
  • Design, configure, and refine AI-driven applications and agents (RAG, prompt design, agent workflows) for internal and occasional client use.
  • Build on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence to orchestrate end-to-end agentic workflows (e.g., retrieval, reasoning, actions, and hand-offs).
  • Implement guardrails, monitoring, and evaluation patterns so agents are safe, reliable, and helpful.

Automation & Efficiency
  • Implement workflow automation using RPA, scripting, and low-code/no-code tools to remove manual, repetitive steps from business processes.
  • Integrate systems and data sources through APIs and connectors to enable smooth, end-to-end execution.
  • Operate and optimize automations over time for performance, reliability, and cost.

Development Practices & Quality
  • Build automation and AI workflows using modern engineering practices (version control, code review, testing, CI/CD), with a focus on maintainability and reusability.
  • Contribute to shared patterns, templates, and documentation that make it easier to roll out new AI agents and automations.

Collaborative Delivery & Cross-Functional Engagement
  • Work with cross-functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions that align with business priorities.
  • Participate in agile planning and ceremonies to keep work visible, prioritized, and on track.

Strategic Support & Growth
  • Share best practices on AI agents and workflow automation across the organization.
  • Track and experiment with emerging AI/automation tools, and bring forward ideas for pilots and improvements.
  • Help evaluate and operate secure, governed cloud AI services.
Required Experience
  • 4-year Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience).
  • 3+ years of professional experience building and deploying AI-powered workflows and/or automation solutions in a business environment.
  • Hands-on experience with AI-driven tools or platforms (e.g., Glean, Microsoft Copilot, Snowflake Cortex/Intelligence, or similar) and/or building AI-assisted workflows.
  • Demonstrated experience with process automation (e.g., RPA, Power Automate, scripting, workflow tools) to streamline business processes.
  • Experience integrating systems via APIs and connectors, and working with enterprise or SaaS applications.
  • Solid software or scripting background (e.g., Python preferred, or similar) sufficient to build and maintain production-oriented workflows, automations, and simple services.
  • Familiarity with professional software development workflows: Git-based source control, basic branching strategies, and code review.
  • Exposure to agile development practices and collaborative team environments.
  • Basic experience deploying or using cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).
  • Strong analytical and problem-solving skills, with a demonstrated ability to assess business processes and identify automation/AI opportunities.
  • Excellent communication skills for explaining technical concepts and trade-offs to both technical and non-technical audiences.
  • Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams.
Prefer Any of the Following
  • Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing).
  • Familiarity with the Snowflake Data Platform and modern cloud data ecosystems.
  • Experience with business intelligence tools like Sigma Computing.
  • Experience in the data and AI professional services industry.
  • Experience conducting structured opportunity assessments, business cases, or cost-benefit analysis for AI/automation initiatives.
  • Certifications in AI, RPA, workflow automation, or cloud platforms (AWS, Azure, GCP).
  • Knowledge of data governance, responsible AI principles, and regulatory considerations for sensitive or regulated industries.
Key Attributes for Success
  • Consultative Mindset: Enjoys engaging with business teams to understand the "why" behind requests, asks thoughtful questions, and proposes solutions that address root causes.
  • Agent & Automation-Oriented: Comfortable designing AI agents and automated workflows, and understands when to apply AI, when to apply automation, and when to combine both.
  • Ownership & Follow-Through: Takes end-to-end responsibility for solutions-from initial assessment through launch and ongoing optimization.
  • Bias Toward Action: Moves work forward with urgency and purpose; does not let ambiguity stall progress and actively looks for ways to improve how work gets done.
  • Collaborative & Influential: Builds trust across teams and stakeholders; can communicate clearly, influence decisions, and navigate competing priorities.
  • Curious & Growth-Oriented: Stays current with rapidly evolving AI/automation trends and tools; brings new ideas and approaches to the team.
  • Resilient & Adaptable: Thrives in a fast-paced, evolving environment; stays composed under pressure and adjusts plans as circumstances change.
Why phData
  • Work on a high-impact internal AI and automation platform that directly shapes how phData operates, sells, and delivers for its customers.
  • Help define how we run phData on data and AI, collaborating closely with stakeholders across Operations, Sales, Delivery, Finance, and IT.
  • Build on a modern cloud data and AI stack (Snowflake, AWS, Sigma Computing, Glean, GitHub Copilot, and more) with strong support for experimentation and improvement.
  • Collaborate with experienced data, analytics, and AI practitioners, and play a key role in expanding our internal AI and automation capabilities.
  • Enjoy a remote-friendly culture with a distributed team across the globe.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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