AI Architect

Career Connect; Taguig; On-site; PHP 2,400,000 - 3,600,000; Full time

Job summary

Career Connect in Manila seeks a senior AI/ML Architect to design and architect end-to-end AI solutions spanning traditional ML, generative AI, and agentic AI systems. You will evaluate GenAI design patterns, lead workshops, and work closely with clients to translate technical concepts into business value.

You will mentor teams, drive delivery on complex projects, contribute hands-on when needed, and define evaluation frameworks with quality metrics and responsible AI considerations.

Qualifications

• 8+ years of AI/ML engineering and architecture.
• Proven track record of deploying ML models in production.
• Deep expertise in traditional ML and GenAI technologies.
• Hands-on experience building agentic AI systems and multi-agent architectures.

Responsibilities

• Design and architect end-to-end AI solutions spanning traditional ML, GenAI, and agentic AI systems.
• Evaluate GenAI design patterns and articulate tradeoffs (RAG vs fine-tuning, prompts, orchestration).
• Define evaluation frameworks with quality metrics and responsible AI considerations.
• Stay current with emerging AI/ML developments and assess applicability to clients.
• Serve as trusted technical advisor to clients and translate tech into business value.
• Lead solution workshops and pre-sales presentations with executives.

Skills

AI/ML architecture

GenAI integration

RAG vs fine-tuning

Agentic AI systems

Python programming

ML framework proficiency

Client communication

Project leadership

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

• 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

Requirements

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/unsupervisedlearning, 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)