AI Solutions Architect
Indexed description
You will provide the best service to our partner brands by performing these tasks:
- Design, develop, and enhance AI assistants, AI agents, and intelligent applications that leverage business context, knowledge repositories, and workflow automation
- Support and optimize Azure AI Foundry, Azure OpenAI, model governance, resource configuration, authentication, production routing, and usage monitoring
- Implement and maintain Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, embeddings, semantic search, and enterprise knowledge sources
- Develop intelligent document-processing workflows including document upload, OCR, classification, extraction, confidence scoring, validation, exception handling, and routing into business systems
- Build and support agentic AI workflows capable of retrieving information, analysing documents, summarising content, recommending actions, and escalating tasks to human reviewers when required
- Configure AI agent tool orchestration and enable secure integration with business APIs, pricing engines, eligibility systems, and data services
- Create and maintain technical artefacts including AI prompts, configuration standards, tool definitions, workflow documentation, testing records, and implementation plans
- Design and support integrations between web applications, portals, databases, project management platforms, and third-party services using REST APIs and middleware solutions
- Develop or support cloud-hosted applications, internal tools, automation solutions, APIs, and business portals
- Support Azure App Services, Container Apps, Azure Functions, Static Web Apps, storage services, Key Vault, identity management, monitoring, and deployment activities
- Create technical designs and implementation plans from business requirements, stakeholder feedback, acceptance criteria, and project documentation
- Design automated workflows for notifications, document processing, scheduling, approvals, and business process management
- Support Azure DevOps, GitHub, CI/CD pipelines, deployment automation, repository management, and work item tracking
- Implement AI governance controls including audit logging, model version tracking, data protection measures, access controls, and human-in-the-loop review processes
- Communicate project status, technical risks, implementation trade-offs, and blockers to internal and external stakeholders
- Contribute to continuous improvement initiatives across AI, cloud, automation, and integration solutions
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline; equivalent experience may be considered
- Minimum 3 to 4 years of professional experience in software engineering, application development, cloud engineering, or related technical roles
- At least 1 year of hands-on AI-related experience supporting enterprise AI applications, intelligent automation, or AI-assisted workflows
- Experience working in consulting, managed services, client-facing technology delivery, financial services, lending, mortgage, or other regulated business environments is advantageous
- Strong experience with Azure cloud services, application hosting, identity management, and cloud architecture
- Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, or comparable enterprise AI platforms
- Experience designing or supporting AI agents, agentic workflows, prompt engineering, function calling, tool orchestration, and intelligent automation solutions
- Strong understanding of RAG architectures, embeddings, vector search, semantic search, and knowledge retrieval systems
- Experience implementing document intelligence, OCR, document classification, extraction, confidence scoring, and validation workflows
- Proficiency in C#/.NET, Python, TypeScript, or comparable application development technologies
- Strong experience with REST API integrations, web services, middleware platforms, and systems integration
- Knowledge of SQL, data modelling, data integration, and enterprise application architecture
- Experience with Azure DevOps, GitHub, source control management, pull requests, CI/CD pipelines, and deployment practices
- Familiarity with Power Platform, Logic Apps, Azure Functions, Container Apps, API Management, and related automation technologies
- Strong understanding of SSO, OAuth, Azure AD / Entra ID, B2C, RBAC, identity management, and cloud security concepts
- Knowledge of AI governance principles including PII protection, audit logging, cost management, model lifecycle management, and human review controls
- Strong written and verbal communication skills with the ability to translate business requirements into technical solutions
- Excellent organisational, analytical, problem-solving, and stakeholder management skills
- Ability to work independently, manage multiple priorities, and collaborate effectively with technical and business teams
- Free lunch meals, fruits, snacks, and beverages for employees assigned to onsite shifts
- Access to an onsite gym with a complimentary professional fitness instructor
- Weekly fitness activities and an annual fitness challenge with prizes of up to ₱70,000
- Weekly employee engagement activities with prizes of up to ₱3,000
- Free upskilling academy to support career growth and professional development
- State-of-the-art office facilities and modern workstations
- Access to employee amenities including sleeping quarters, game area, chat room, and shower rooms
- Fun, collaborative, and employee-focused work environment
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