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What is the role of a AI Automation Engineer at Jobgether?

The AI Automation Engineer position at Jobgether is a Full-time or part-time position opportunity in the Engineering field.

Where is this AI Automation Engineer job located?

United States, Other / Non-US, United States

What type of employment is offered for this AI Automation Engineer role?

Full-time or part-time position

What is the expected salary for this AI Automation Engineer job?

Compensation will be discussed during the hiring process.

AI Automation Engineer job near me in United States, Other / Non-US at Jobgether

AI Automation Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Automation Engineer in the United States.

This role is designed for a hands-on automation and AI specialist who will build the backbone of enterprise workflows and intelligent systems across business-critical platforms. You will design, implement, and optimize integrations that connect systems such as CRM, ERP, and data warehouses into seamless, automated pipelines. The position blends deep engineering work with emerging AI practices, including agentic systems and retrieval-augmented architectures. You will work closely with cross-functional stakeholders to translate operational needs into scalable technical solutions. The environment is fast-paced, innovation-driven, and highly collaborative, with strong emphasis on ownership and engineering excellence. Your work will directly improve efficiency, reduce manual processes, and enable data-driven decision-making at scale.

Accountabilities:

You will be responsible for designing and maintaining enterprise-grade automation and integration systems, ensuring reliability, scalability, and performance across business platforms. You will build AI-enabled workflows, develop data pipelines, and implement agent-based architectures that enhance operational intelligence.

Design and maintain automation workflows using enterprise iPaaS tools such as Workato or equivalent platforms
Build integrations across core systems including Salesforce, NetSuite, Snowflake, and Slack
Develop ELT/ETL and reverse ETL pipelines supporting analytics and AI use cases
Architect agentic systems, including tool use, memory/state handling, and human-in-the-loop workflows
Implement retrieval-augmented generation (RAG) pipelines with vector databases and evaluation frameworks
Build production-ready automation scripts using Python, SQL, and JavaScript (or similar languages)
Ensure observability, monitoring, and governance for AI and automation systems
Maintain technical documentation, system diagrams, and version control in tools like Git-based workflows and documentation platforms
Collaborate with engineering, analytics, and business teams to translate requirements into scalable solutions

Requirements

This role requires strong hands-on engineering experience in integration, automation, and AI-enabled systems, along with the ability to design scalable enterprise architectures. You should be comfortable working across APIs, data pipelines, and modern AI frameworks in production environments.

2–5+ years of experience in software engineering, data engineering, automation, or integration development
At least 1+ year of hands-on experience with iPaaS tools (Workato or similar platforms)
Strong proficiency in APIs, system integrations, and workflow automation design
Experience with data engineering concepts including ETL/ELT, data modeling, and SQL/T-SQL
Familiarity with AI/ML concepts, including RAG pipelines, vector databases, and LLM-based systems
Experience working with cloud platforms such as Amazon Web Services or Google Cloud
Proficiency with development and collaboration tools such as GitHub, Jira, and Confluence
Strong problem-solving mindset with the ability to operate independently in complex environments
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
Bonus: experience with certifications or advanced expertise in automation or cloud platforms

Benefits

Competitive base salary with performance-based variable compensation
Remote-first work flexibility across the United States
Comprehensive medical, dental, and vision coverage options
401(k) retirement plan with employer contributions
Flexible PTO and paid holidays
Learning and development support, including certifications and training programs
Wellness and mental health support resources
Opportunity to work on cutting-edge AI and automation systems in enterprise environments
Collaborative, innovation-driven culture focused on engineering excellence.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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AI Automation Engineer in United States at Jobgether

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