About the role
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.
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.
Requirements
- 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.
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