Solution Architect

BeyondEdge Pte Ltd; Santo Niño 1st; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

BeyondEdge Pte Ltd in the Philippines is seeking a Solution Architect to lead AI-first architectures across web, mobile, and cloud platforms. You will translate business needs into scalable, secure designs and guide delivery teams through SDLC, with a strong focus on RAG, agentic workflows, and MCP-based integrations.

You will partner with sales on pre-sales engagements and provide architectural governance, risk management, and cost-aware decisions to ensure successful, enterprise-grade

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field (or equivalent work experience).
• Minimum 5+ years of experience across at least two IT solution development disciplines.
• Hands-on experience designing or implementing AI/LLM-powered solutions (RAG, AI assistants, agentic workflows).
• Proven track record in enterprise solution architecture with multi-cloud deployments.
• AI/LLM expertise with foundation models and vector databases, and familiarity with LangGraph or CrewAI.

Responsibilities

• Architect end-to-end GenAI/LLM-powered solutions, including RAG pipelines and MCP-based integrations.
• Design and refine system prompts and prompting strategies to optimize quality, safety, and cost.
• Evaluate foundation models and orchestration tools based on use case, performance, and cost.
• Lead PoC and pilot development for AI capabilities to validate feasibility.
• Establish best practices for responsible AI — guardrails, evaluation, and monitoring.
• Stay current with AI/LLM landscape and evangelize new capabilities across the organization.
• Partner with sales on pre-sales and translate business needs into conceptual architectures.
• Lead RFI/RFP responses and develop technical proposal content.
• Present technical and AI solutions to stakeholders at all levels.
• Architect end-to-end solutions across web, mobile, and cloud platforms.
• Evaluate tools and technologies; conduct PoCs to validate feasibility.
• Maintain architectural governance and ensure security and standards.
• Troubleshoot issues during deployment and provide ongoing guidance to teams.

Skills

AI/LLM Expertise

Cloud Platforms

Development & CMS Stack

Management Frameworks

RAG pipelines knowledge

Education

Bachelor's degree in Engineering, Computer Science, or related field

Tools

React

Node.js

TypeScript

Flutter

.NET

Java

Drupal

WordPress

AEM

LangGraph

CrewAI

Pinecone

Chroma

pgvector

Job description

About the role

The Solution Architect serves as a technical advisor and AI-first solution strategist, bridging business requirements with technical delivery. This role works closely with sales teams during pre-sales engagements and provides architectural guidance to delivery teams throughout project execution. The architect is responsible for designing scalable, secure solutions that embed AI/LLM capabilities — including RAG, agentic workflows, and MCP-based integrations — across web, mobile, and enterprise platforms, while maintaining strong working knowledge of multi-cloud environments (AWS, Azure, GCP), project delivery, resourcing, and support escalation.

Key responsibilities

AI Solutioning & Innovation

• Architect end-to-end GenAI/LLM-powered solutions, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) based integrations, tailored to client business needs
• Design and refine system prompts and prompting strategies (few-shot, chain-of-thought, guardrail prompting) to optimize LLM output quality, safety, and cost
• Evaluate and recommend appropriate foundation models, AI frameworks, and orchestration tools based on use case, performance, and cost trade-offs
• Lead proof-of-concept and pilot development for AI capabilities (RAG, CAG, agentic assistants) to validate feasibility before full-scale implementation
• Establish best practices for responsible AI — guardrails, evaluation frameworks, hallucination mitigation, and monitoring of AI system performance
• Stay current with the fast-evolving AI/LLM landscape and evangelize emerging capabilities (new models, MCP tooling, agent frameworks) across the organization

Pre-Sales & Business Development Support

• Partner with sales teams to develop business opportunities and provide technical consultancy during customer requirement discovery sessions
• Translate business needs into conceptual solution architectures — including AI-enabled solutions — using the company's service portfolio
• Lead RFI/RFP responses, developing technical proposal content aligned with customer requirements
• Present technical and AI solutions to stakeholders at all levels, from technical teams to C-suite executives

Solution Design & Advisory

• Architect end-to-end solutions spanning web applications, mobile platforms, cloud infrastructure, and AI/ML integrations
• Evaluate emerging tools, techniques, and technologies (including new AI/LLM capabilities); conduct proof-of-concept implementations to validate feasibility
• Assess trade-offs between business needs, technology requirements, timelines, costs, and risks; communicate impact clearly to stakeholders
• Maintain architectural governance and ensure solutions (including AI solutions) align with enterprise standards, security, and best practices

Delivery Support & Issue Resolution

• Participate in client meetings alongside delivery teams to resolve technical issues during implementation and deployment
• Troubleshoot complex technical problems, including AI/LLM pipeline issues, performing root cause analysis and recommending corrective actions
• Provide ongoing architectural guidance to development teams throughout the SDLC

Project Management & Delivery Governance

• Support project planning, scoping, and effort estimation in collaboration with Project Directors/Managers
• Track technical delivery milestones and ensure alignment with agreed project timelines, budgets, and quality standards
• Identify and manage technical risks and dependencies, escalating proactively when delivery is at risk
• Contribute to sprint/iteration planning and backlog refinement from a solution architecture perspective

Knowledge Leadership

• Conduct technical training sessions, including on AI/LLM tooling and practices, to elevate organizational capabilities
• Drive technical knowledge harvesting and documentation of architectural patterns, AI solution designs, decisions, and lessons learned
• Mentor technical leads on solution design principles, including responsible AI adoption

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field (or equivalent work experience)
• Minimum 5+ years of experience across at least two IT solution development disciplines: technical/infrastructure architecture, application development, middleware, database management, or cloud development
• Hands-on experience designing or implementing AI/LLM-powered solutions (e.g., RAG systems, AI assistants, agentic workflows) is highly advantageous
• Proven track record in enterprise solution architecture with multi-cloud deployments
• AI/LLM Expertise: Hands-on proficiency with foundation models (GPT, Claude, Gemini, Llama), vector databases (Pinecone, Chroma, pgvector), agent frameworks (LangGraph, CrewAI), and LLM APIs.
• Cloud Platforms: Strong architectural experience across major cloud ecosystems, including AWS (Bedrock, SageMaker, Lambda, etc.), Azure (Azure OpenAI Service, AKS), and GCP (Vertex AI, BigQuery).
• Development & CMS Stack: Foundational working knowledge of languages and frameworks like React, Node.js, TypeScript, Flutter, native mobile, .NET, Java, and CMS platforms such as Drupal, WordPress, and AEM.
• Management Frameworks: Familiarity with Agile/Waterfall methodologies, ITIL support escalation processes, risk management, and cloud cost management (FinOps).