AI Automation Engineer / Developer

Adventus; Metro Manila; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Adventus in the Philippines is seeking an AI Automation Engineer/Developer to design, build, and deploy AI agents that automate enterprise workflows across the organization, integrating with Microsoft Dynamics 365, SAP, ServiceNow, and Azure to improve efficiency and decision-making.

You will develop AI-powered solutions for workflow orchestration, ticket triaging, and data extraction, create APIs and automation scripts, and collaborate with IT and business stakeholders to ensure secure,

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 2–5 years in software engineering, AI/automation, or enterprise system integration.
• Experience designing and deploying AI agents or LLM-powered apps for business automation.
• Hands-on with prompt engineering, RAG pipelines, tool calling, and multi-agent frameworks.
• Experience integrating AI with enterprise platforms (Dynamics 365, SAP, ServiceNow).
• Cloud familiarity: Azure OpenAI and related AI services.

Responsibilities

• Design, develop, and deploy AI agents to automate business processes.
• Build integrations between AI agents and enterprise platforms (Dynamics 365, SAP, ServiceNow).
• Develop integrations using APIs and interfaces (Dataverse, Power Platform, OData, SAP, ServiceNow REST).
• Create AI-powered workflow orchestration, ticket triaging, knowledge retrieval, and reporting.
• Extend Copilot capabilities and AI assistants for enterprise tools.
• Develop APIs, automation scripts, and cloud-based AI services on Azure.

Skills

AI/automation development

Python

C#/.NET

LLM-powered apps

API integrations

LangChain/LlamaIndex

Education

Bachelor's degree in CS/Engineering

Tools

Dataverse Web API

Power Platform

OData/BAPI/RFC/IDoc

SAP BTP

ServiceNow REST APIs

Azure OpenAI/Azure AI Services

Job description

Adventus is an Information and Communications Technology (ICT) Solutions and Services Provider with a wide footprint across the globe.

We help organizations bring about positive transformation to their businesses by leveraging intelligent applications of innovative solutions and pertinent services to remain winners in today's ultra competitive marketplace.

With our strong network of technology partners, excellent domain expertise and differentiated value proposition, we are able to go above and beyond for our customers, far exceeding expectations.

About the Role

We are seeking an AI Automation Engineer / Developer to design, build, and deploy AI agents that automate enterprise workflows and business processes across the organization. This role will focus on integrating AI capabilities with platforms such as Microsoft Dynamics 365, SAP, ServiceNow, Microsoft Azure, and Microsoft Copilot to improve operational efficiency, reduce manual work, and enhance decision-making. The ideal candidate has hands‑on experience developing AI/LLM‑powered applications, workflow automation, API integrations, and enterprise system orchestration.

Key Responsibilities

• Design, develop, and deploy AI agents to automate business processes and operational workflows across the organization
• Build integrations between AI agents and enterprise platforms, including Microsoft Dynamics 365, SAP, and ServiceNow
• Develop integrations using platform APIs and interfaces such as Dataverse Web API and Power Platform (Dynamics 365), OData/BAPI/RFC/IDoc and SAP BTP (SAP), and ServiceNow REST APIs
• Develop AI-powered solutions for workflow orchestration, ticket triaging, knowledge retrieval, reporting, and process automation
• Build and extend Microsoft Copilot capabilities (Copilot Studio, custom copilots, plugins/connectors) to bring AI assistance into everyday business tools
• Create and maintain APIs, automation scripts, and cloud‑based AI services on Microsoft Azure (e.g., Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps)
• Implement prompt engineering, RAG pipelines, tool integrations, and multi‑agent workflows
• Apply LLMs and AI models to automate tasks such as document processing, data extraction from unstructured sources, and natural‑language querying of enterprise data to support decision‑making
• Integrate AI APIs and orchestration tools into existing enterprise architecture using middleware/iPaaS platforms
• Collaborate with business and IT stakeholders to identify and implement automation opportunities
• Ensure AI solutions meet security, governance, and compliance standards
• Monitor, optimize, and maintain AI agent performance and reliability
• Document architectures, workflows, and integration specifications

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 2-5 years of experience in software engineering, AI/automation development, or enterprise system integration
• Proven experience designing, building, and deploying AI agents or LLM‑powered applications for business process automation
• Hands‑on experience with prompt engineering, RAG pipelines, tool/function calling, and multi‑agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar)
• Experience integrating AI solutions with enterprise platforms such as Microsoft Dynamics 365 (Dataverse, Power Platform), SAP (OData, BAPI/RFC, IDoc, SAP BTP), or ServiceNow (REST APIs)
• Working knowledge of Microsoft Azure for deploying and operating AI services (Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, or similar)
• Familiarity with Microsoft Copilot and Copilot Studio for building or extending AI assistants
• Strong programming skills in Python and/or C#/.NET; ability to build and maintain APIs, automation scripts, and cloud‑based services
• Experience developing AI-powered solutions such as workflow orchestration, ticket triaging, knowledge retrieval, or automated reporting
• Familiarity with middleware/iPaaS and automation tools (Power Automate, SAP Integration Suite, Logic Apps, MuleSoft, n8n, or similar)
• Understanding of security, governance, and compliance requirements for AI solutions handling enterprise data
• Experience monitoring, testing, and optimizing production systems for performance and reliability
• Strong communication skills and ability to collaborate with business and IT stakeholders to translate process requirements into technical solutions

Preferred Qualifications

• Experience with vector databases (e.g., Azure AI Search) and intelligent document processing
• Familiarity with SAP AI offerings (Joule, SAP AI Core) or ServiceNow AI capabilities (Now Assist)
• Experience with agent observability, evaluation frameworks, or LLMOps practices
• Microsoft certifications (e.g., Azure AI Engineer Associate, Power Platform Developer) a plus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.