AI Automation Architect / AI Integration Specialist (Middle / Senior)

AI Automation Architect / AI Integration Specialist (Middle / Senior)
Employment: Full-time
Location: Remote
Schedule: Flexible
About the Role
We are looking for a hands-on AI Automation Architect / AI Integration Specialist with practical experience in implementing AI solutions and automating business processes.
Your primary responsibility will be to analyze internal workflows, identify automation opportunities, design AI solution architectures, and implement solutions that deliver measurable business value.
We are looking for someone who has already built AI agents, RAG/QA systems, business automations, and integrations with corporate tools rather than someone with only theoretical AI knowledge.
Candidates from different industries are welcome, provided they have strong practical experience in AI automation, operations automation, product operations, AI integration, or no-code/low-code workflow automation.
Responsibilities
Interview team members and analyze existing business processes.
Identify opportunities for automation and process optimization using AI.
Design AI solution architectures for various business use cases.
Select the most appropriate technologies, including AI agents, RAG, QA systems, no-code/low-code platforms, and API integrations.
Build, test, and deploy AI agents and automated workflows.
Integrate AI solutions with CRMs, documentation platforms, spreadsheets, chat systems, task management tools, and other internal systems.
Prepare clear documentation and user guides.
Measure the effectiveness of implemented solutions and continuously improve them.
Train and support team members in using newly implemented AI tools.
Requirements
At least 1 year of practical experience in AI Automation, AI Integration, Product Operations, Operations Automation, or business process automation.
Experience building AI agents, RAG/QA systems, and workflow automations.
Strong understanding of the differences between AI agents, chatbots, RAG systems, and traditional automation.
Experience working with APIs, modern AI platforms, and no-code/low-code automation tools.
Ability to independently design, prototype, and implement working solutions.
Strong analytical and communication skills.
Ability to document solutions clearly and explain technical concepts in simple terms.
Proactive mindset and ability to work independently.
Nice to Have
Experience implementing AI solutions in operational business environments.
Experience integrating AI with CRMs, internal knowledge bases, and enterprise systems.
Experience working with modern AI frameworks and orchestration platforms.
What We’re Looking For
We value candidates who choose the right solution for each business problem instead of applying AI where it is not needed.
The ideal candidate:
Has practical implementation experience rather than only theoretical knowledge.
Can independently build working prototypes and production-ready solutions.
Understands when to use AI agents, RAG systems, chatbots, or conventional automation.
Is familiar with multiple AI platforms and automation tools.
Has solid knowledge of APIs and system integrations.
Can communicate effectively with both technical and non-technical stakeholders.
Expected Results During the First 1–3 Months
Complete an audit of key business processes.
Create a process map highlighting the highest-impact AI opportunities.
Launch the first AI-powered automations and workflows.
Prepare a prioritized roadmap for future AI implementations.
Enable the team to use AI tools in their daily operations.
What We Offer
Fully remote position.
Flexible working schedule.
Opportunity to work on real-world AI implementation projects with a direct impact on business operations.
Competitive compensation based on experience and qualifications.
Compensation
Salary is negotiated individually based on experience.
Payments are made once or twice per month.
During the probation period, a fixed salary with additional performance-based bonuses may be offered.
Probation Period
The probation period lasts 1–2 months. During this time, performance will be evaluated based on the successful implementation of initial AI solutions, quality of execution, and overall contribution to business process improvements.