AI Solutions Architect

KDCI; Pasig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

KDCI is seeking an AI Solutions Architect in Metro Manila, Philippines to help clients leverage artificial intelligence. This role involves designing AI strategies, collaborating with clients, and guiding them from discovery through implementation.

The ideal candidate will have 3–8 years of experience in AI/ML consulting, a strong understanding of data engineering, and excellent stakeholder management skills. Join KDCI and contribute to shaping AI-driven business solutions.

Qualifications

• 3–8 years of experience in AI/ML consulting, solutions architecture, or digital transformation.
• Demonstrated ability to scope, design, and oversee AI solutions across various use cases.
• Hands-on experience with multiple AI/ML platforms.

Responsibilities

• Partner with clients to design tailored AI solution roadmaps.
• Develop customized AI architectures covering data pipelines and ML models.
• Advise on AI platform selection based on client needs.

Skills

AI/ML consulting

Solutions architecture

Digital transformation

Stakeholder management

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS SageMaker

Azure AI

Google Vertex AI

OpenAI

Hugging Face

LangChain

Job description

KDCI Outsourcing is looking for an AI Solutions Architect to help clients across industries harness the power of artificial intelligence. You will serve as a strategic bridge between cutting-edge AI technologies and real business goals — guiding clients from initial discovery through solution design, implementation, and adoption. You'll work closely with internal delivery teams, technical architects, and client stakeholders to design AI-driven strategies that are practical, scalable, and results-oriented.

KEY RESPONSIBILITIES

AI Strategy & Solution Design

• Partner with clients to understand their business challenges and design tailored AI solution roadmaps — from discovery to proof of concept to full deployment.
• Develop customized AI architectures covering data pipelines, ML models, NLP/LLM integrations, and system connectivity.
• Advise on AI platform selection (cloud-native, open-source, third-party SaaS) based on client maturity, budget, and technical environment.
• Lead Proof of Value (PoV) and pilot engagements, ensuring outcomes are measurable and tied to business KPIs.

Pre-Sales & Client Engagement

• Collaborate with business development and account teams to identify AI opportunities and craft compelling proposals and RFP responses.
• Deliver engaging, storytelling-driven demos and executive presentations that connect AI capabilities to specific client pain points.
• Lead technical discovery workshops, stakeholder interviews, and requirements‑gathering sessions to shape scope and approach.
• Define success metrics and ROI frameworks that translate AI outputs into measurable business impact.

Technical Delivery & Oversight

• Guide delivery teams through solution architecture, integration design, data governance, and AI model evaluation and deployment.
• Advise on responsible AI principles: fairness, explainability, bias mitigation, and data privacy compliance (GDPR, NPC/DPA PH).
• Assess client data infrastructure readiness and provide recommendations on data engineering, labeling, and quality pipelines.
• Oversee QA of AI outputs during project delivery, ensuring alignment with client acceptance criteria.

Stakeholder Management

• Build trusted relationships with client stakeholders from IT and operations to C‑suite decision-makers.
• Act as an ongoing advisor post‑deployment — identifying new use cases, optimizing models, and ensuring continued ROI.
• Communicate complex AI concepts clearly to non‑technical audiences through structured narratives and business‑focused framing.

Thought Leadership & Internal Enablement

• Stay current on AI trends (LLMs, GenAI, agentic frameworks) and bring insights back to internal teams.
• Contribute to KDCI's AI knowledge base: playbooks, proposal templates, technical frameworks, and case studies.
• Mentor junior architects and support capability development across the delivery organization.

Required

• 3–8 years of experience in AI/ML consulting, solutions architecture, or digital transformation.
• Demonstrated ability to scope, design, and oversee AI solutions across NLP, computer vision, predictive analytics, or GenAI use cases.
• Hands‑on experience with AI/ML platforms (e.g., AWS SageMaker, Azure AI, Google Vertex AI, OpenAI, Hugging Face, LangChain).
• Strong understanding of data engineering fundamentals: ETL/ELT pipelines, data lakes, APIs, and cloud storage.
• Excellent communication and stakeholder management skills — comfortable presenting to both technical teams and executives.
• Track record in pre‑sales, client advisory, or consultative roles with measurable outcomes.
• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or related field.