Primary Consultant for AI and Machine Learning

1. Role Overview & Business Context

Pointwest is seeking an elite Primary Consultant for AI and Machine Learning to serve as our premier technical authority and trusted advisor for strategic AI/ML initiatives. This individual bridges the gap between enterprise business objectives and complex AI capabilities.

This role is crucial to ensure seamless service delivery and technical governance. The role focuses on high-value advisory, architecture design, solution quality, and talent mentorship, operating independent of direct line-management or P&L duties.

1. Essential Key Responsibilities (Core Requirements)

Client Advisory & Technical Discovery

● Trusted C-Suite Advisor: Partner with client executives, product owners, and technical directors to define their AI/ML strategy, architectural roadmap, and technology adoption paths.

● Technical Discovery & Assessment: Conduct deep-dive assessments of client data ecosystems, cloud infrastructure readiness, security constraints, and operational workflows to design feasible ML solution blueprints.

Solution Architecture & Engineering Governance

● End-to-End Solution Architecture: Design scalable, production-grade enterprise AI/ML solutions, incorporating robust MLOps practices (automated deployment, monitoring, drift detection, and version control).

● Delivery Oversight & Quality Assurance: Provide technical governance across active ML projects. Review solution architectures, data pipelines, and code bases to ensure high quality, performance, and adherence to industry standards.

● Complex Technical Problem Solving: Serve as the senior escalation point to unblock engineering teams on intricate technical, algorithmic, or architectural challenges.

● Reusable and IP Development: Identify, develop and drive the adoption and continuous evolution of reusable architectural components, patterns, and assets across solutions.

Capability Building & Talent Mentorship

● Team Elevation & Mentorship: Train and mentor AI/ML Engineers and Data Scientists across the

practice to elevate internal technical capabilities and bridge capacity constraints.

● Competency Roadmaps: Develop learning paths and competency frameworks aligned with emerging market demands (e.g., Generative AI, RAG architectures, and MLOps).

● Recruitment Leadership: Lead technical evaluation and interviewing for candidate pipelines to expand Pointwest’s AI/ML talent pool.

1. Preferred / Nice-to-Have Components

● Thought Leadership & External Presence: Authoring technical whitepapers or representing Pointwest as a speaker or panelist at tech conferences.

● Vendor Program Management & Co-Selling: Active collaboration with cloud vendor partner teams (AWS, Azure, GCP) on joint partner programs. .

● Advanced GenAI / Agentic Stack Implementation: Hands-on development using specialized LLM frameworks (LangChain, LlamaIndex, AutoGen) and Agentic workflows.

1. Qualifications & Technical Competencies

Required Qualifications

● Experience: Minimum of 8+ years of experience developing and deploying enterprise analytics, AI, and machine learning solutions.

● Technical Leadership: Minimum of 3+ years in a technical leadership or architectural role, guiding ML engineering teams or leading solution design.

● Core ML Expertise: Proficiency in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Time Series Forecasting.

● MLOps & Cloud Infrastructure: Solid foundations in MLOps pipelines (model deployment, monitoring, drift detection, versioning) and major cloud platforms (AWS, Azure, or GCP).

● Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related quantitative field.

Preferred Qualifications

● Certifications: AWS Certified Machine Learning - Specialty (or equivalent Azure / GCP AI specialty certification).

Pay: Php80,000.00 - Php100,000.00 per month

Benefits:

• Additional leave
• Company events
• Health insurance
• Life insurance

Application Question(s):

• How much is your expected salary?
• Are you comfortable working on a hybrid set-up in Quezon City?

Experience:

• Machine learning: 3 years (Preferred)
• Artificial Intelligence: 3 years (Preferred)
• Solution architecture: 2 years (Preferred)
• Technical Lead: 2 years (Preferred)

Work Location: Hybrid remote in Quezon City