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. Youll 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 KDCIs AI knowledge base: playbooks proposal templates technical frameworks and case studies.

Mentor junior architects and support capability development across the delivery organization.

Required

38 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.

Bachelors degree in Computer Science Information Technology Data Science Engineering or related field.