AI Workflow Automation Engineer

Accountabilities: As an AI Workflow Automation Engineer, you will design, implement, and optimize enterprise automation solutions using workflow platforms, integration technologies, and AI capabilities. You will contribute to building a scalable automation ecosystem by creating reusable patterns, improving reliability, and enabling teams to leverage intelligent workflows effectively.

Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms.

Design hybrid automation architectures combining workflow automation, APIs, event-driven systems, and AI agents.

Develop AI-enabled workflows that support intelligent decision-making, human-in-the-loop processes, prompt management, and model integrations.

Establish automation development standards, reusable templates, exception handling strategies, approval workflows, and security practices.

Implement deployment strategies, CI/CD pipelines, version control, and governance models for automation workflows.

Build monitoring, logging, alerting, and reliability frameworks to improve workflow performance, uptime, and recovery processes.

Define responsible AI practices covering model selection, cost management, prompt/version control, data privacy, and auditability.

Lead technical discussions, architecture reviews, workflow evaluations, and post-incident improvement sessions.

Mentor engineers and implementation teams on automation engineering, AI agents, prompt engineering, and responsible AI practices.

Measure automation success through adoption, efficiency improvements, cycle-time reduction, reliability metrics, cost optimization, and business impact.

Continuously improve automation capabilities by evaluating emerging technologies and industry best practices.

Requirements:

The ideal candidate is an experienced automation and integration engineer with strong expertise in enterprise workflows, AI technologies, cloud platforms, and scalable architecture design. You should have a strong technical foundation, excellent problem-solving skills, and the ability to collaborate across teams to deliver impactful automation solutions.

Bachelor’s degree in Computer Science Engineering or a related technical field.

10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture.

Hands-on experience with n8n, Boomi, or similar automation platforms, including building complex workflows and orchestration patterns.

Experience designing API-first and event-driven architectures, including REST APIs, webhooks, OAuth, JWT, API security, and secure service integrations.

Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

Experience working with AI and machine learning services such as Amazon Bedrock, Azure OpenAI, or similar solutions.

Practical experience with large language models, prompt engineering, AI agents, automation observability, and workflow optimization.

Ability to design secure, scalable, and maintainable automation solutions in enterprise environments.

Strong understanding of governance, monitoring, reliability, and operational excellence practices.

Excellent communication skills with the ability to lead technical discussions and collaborate with diverse stakeholders.

Ability to work independently, manage complex initiatives, and influence engineering practices across teams.

Availability to overlap at least six hours per weekday with Eastern Time business hours.

Benefits:

The company provides a comprehensive benefits package and a culture focused on innovation, flexibility, professional growth, and employee wellbeing.

Competitive compensation package based on experience, skills, and market benchmarks.

Paid time off and paid parental leave.

Health and wellness benefits, including medical, life, and disability insurance according to location.

Remote work flexibility with the ability to work from anywhere in India.

Opportunity to work with cutting-edge AI, automation, cloud, and integration technologies.

Inclusive workplace culture focused on diversity, collaboration, and belonging.

Opportunities to contribute to impactful global projects and enterprise-scale transformation initiatives.

Support for continuous learning and professional development.

Employee communities and initiatives that encourage connection, inclusion, and knowledge sharing.

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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