AI Architect

Career Connect; Makati; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

A leading tech firm in Makati is seeking an experienced AI/ML Engineer to lead technical architecture and AI solutions. The role involves client engagement and hands-on development, requiring 8+ years of experience and strong programming skills in Python. Ideal candidates will have a proven background in Generative AI and traditional machine learning. The position offers a hybrid work model, combining on-site and remote work.

Qualifications

• 8+ years of experience in AI/ML engineering and architecture.
• Proven track record of implementing ML models in commercial environments.
• Strong programming skills in Python and relevant ML/AI frameworks.
• Experience with Generative AI technologies and traditional ML.

Responsibilities

• Design and architect end-to-end AI solutions.
• Serve as trusted technical advisor to clients.
• Build and maintain strong client relationships.
• Contribute directly to architecture and code implementation.

Skills

AI/ML engineering and architecture

Python programming

Communication skills

Project management capabilities

Education

Bachelor's degree in Computer Science or related field

Advanced degree in Computer Science, AI/ML or related field

Tools

SKlearn

XGBoost

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

Hybrid - Makati 5-10 Yrs Exp Bachelor Full-time

Job Description

Technical Leadership & Architecture

• Design and architect end-to-end AI solutions spanning traditional ML, generative AI, and Agentic AI systems
• Evaluate and select appropriate design patterns for GenAI implementations, clearly articulating tradeoffs between approaches (RAG vs fine‑tuning, prompt engineering strategies, agent orchestration patterns, etc.)
• Define and implement comprehensive evaluation frameworks for GenAI systems, including quality metrics, performance benchmarks, and responsible AI considerations
• Stay current with emerging AI/ML developments and assess their practical applicability to client environments

Client Engagement & Stakeholder Management

• Serve as trusted technical advisor to clients, translating complex AI concepts into business value
• Lead solution workshops and technical pre‑sales presentations with C‑level executives and technical teams
• Build and maintain strong client relationships through confident communication and delivery excellence
• Bridge the gap between cutting‑edge AI capabilities and pragmatic, implementable solutions
• Drive technical teams to deliver high‑quality AI solutions on time and within scope
• Provide hands‑on technical guidance and code reviews, leading by example
• Manage delivery timelines and proactively identify and mitigate risks
• Mentor team members on AI best practices, design patterns, and implementation approaches

Hands‑On Development

• Contribute directly to architecture and code implementation when needed
• Build proof‑of‑concepts and prototypes to validate technical approaches
• Debug complex technical issues across the AI stack
• Ensure code quality, scalability, and maintainability standards

Required Qualifications

• 8+ years of experience in AI/ML engineering and architecture
• Proven track record of implementing ML models in commercial production environments
• Deep expertise in traditional machine learning (supervised/unsupervised learning, feature engineering, model optimization)
• Significant experience with Generative AI technologies (LLMs, prompt engineering, RAG, fine‑tuning, vector databases)
• Hands‑on experience building agentic AI systems and multi‑agent architectures
• Strong programming skills in Python and relevant ML/AI frameworks (SKlearn, XGBoost, PyTorch, TensorFlow, LangChain, LlamaIndex, etc.)
• Demonstrated ability to design and implement GenAI evaluation
• Excellent communication skills with ability to present complex technical topics clearly to both technical and non‑technical audiences
• Strong project management capabilities with history of delivering complex projects on schedule

Preferred Qualifications

• Experience with enterprise AI platform development and MLOps practices
• Knowledge of AI governance frameworks and responsible AI practices
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services
• Experience with real‑time AI systems and low‑latency architectures
• Background in telecommunications, financial services, or other regulated industries
• Advanced degree in Computer Science, AI/ML, or related technical field

Technical Excellence

• Expert understanding of GenAI design pattern tradeoffs (RAG architectures, agent frameworks, tool use, memory systems)
• Proficiency in GenAI evaluation methodologies (automated metrics, LLM-as-judge, human evaluation)
• Strong foundation in traditional ML fundamentals and deployment patterns
• Ability to drive teams toward concrete deliverables while maintaining quality standards
• Experience managing multiple stakeholders and competing priorities
• Track record of delivering complex technical projects in client environments
• Confident, clear communication style suitable for executive engagement
• Ability to build credibility quickly with technical and business stakeholders
• Skill in translating technical complexity into actionable business insights
• Continuous learning orientation with pulse on latest AI developments
• Pragmatic decision‑making that balances innovation with implementability
• Client‑centric mindset focused on delivering measurable business value
• Comfortable with ambiguity and able to structure unstructured problems

Work Set-Up: Hybrid in BGC (1-2x a week RTO or as needed)