AI Solutions Architect

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.