senior Technical architectManila Recruitment

Company Profile:Our client is a Singapore headquartered company. You will embody their company culture and use your craft and creativity to help them take their operating system to the next level. They are team with decades of wealth management experience, now focused on transforming legacy technology into intelligent, AI-driven solutions. They are looking for someone who loves building products and is curious and passionate about our tech stack.Duties and Responsibilities:
Lead end-to-end solution design and technical delivery for bank clients: integrations with CRM, PMS, core banking, market data, and data warehouses
Run technical pre-sales and discovery workshops with bank stakeholders (IT, InfoSec, Compliance, RMs) to capture requirements and constraints (data residency, connectivity, SLAs)
Create client-specific deliverables: architecture diagrams, integration specs, API contracts, deployment blueprints (on-prem/hybrid/cloud), and operational runbooks
Lead PoCs and pilots: scope, timebox, deliver technical artefacts, measure success against acceptance criteria, and iterate with client feedback
Ensure solutions meet regulatory and bank controls, produce compliance-ready documents for bank review and audit
Design multi-tenant and per-bank isolation strategies: tenant separation, network segmentation, KMS per-client, and role-based access models
Define MLOps & ModelOps patterns for production: model packaging, versioning, CI/CD, canary rollouts, drift detection, retraining cadence, and approval gates tailored to each bank's governance
Provide professional-service delivery leadership during rollout: cutover planning, data migration strategies, DR/BCP, runbooks, training, and support transition to bank operations or managed service
Produce cost estimates, TCO models, and risk register for client proposals; engage with procurement and legal to evaluate vendor/cloud constraints
Mentor internal engineers on bank-grade architecture and delivery best practices; contribute to reusable implementation patterns and onboarding kits for new bank customers
Deliverables in first 6 months (vendor focused):
Lead PoCs and pilots: scope, timebox, deliver technical artefacts, measure success against acceptance criteria, and iterate with client feedback
Ensure solutions meet regulatory and bank controls, produce compliance-ready documents for bank review and audit
Design multi-tenant and per-bank isolation strategies: tenant separation, network segmentation, KMS per-client, and role-based access models
Define MLOps & ModelOps patterns for production: model packaging, versioning, CI/CD, canary rollouts, drift detection, retraining cadence, and approval gates tailored to each bank's governance
Provide professional-service delivery leadership during rollout: cutover planning, data migration strategies, DR/BCP, runbooks, training, and support transition to bank operations or managed service.
Produce cost estimates, TCO models, and risk register for client proposals; engage with procurement and legal to evaluate vendor/cloud constraints
Mentor internal engineers on bank-grade architecture and delivery best practices; contribute to reusable implementation patterns and onboarding kits for new bank customers
Success Metrics / KPIs (for the role):
PoC → Pilot conversion rate across bank prospects.
Time-to-PoC and time-to-pilot (targets set per pipeline)
Customer satisfaction for deployments (post-go-live NPS / RM satisfaction)
Incidents & escalations: MTTR and number of security/compliance findings post-handover.
Reuse of platform patterns: number of banks onboarded using the reusable implementation
Requirements
6+ years in software architecture or technical delivery; 3+ years in ML/AI system design and production deployments
Hands-on with cloud-native architectures (AWS/Azure/GCP), containers (Docker), and orchestration (Kubernetes) and experience implementing on-prem/hybrid deployments
Practical experience with LLMs, RAG, embedding pipelines and vector DBs, and designing explainability and auditability into AI outputs
Strong client-facing skills: running discovery workshops, producing SOW-level technical designs, and managing technical escalations
6+ years in software architecture or technical delivery; 3+ years in ML/AI system design and production deployments
Hands-on with cloud-native architectures (AWS/Azure/GCP), containers (Docker), and orchestration (Kubernetes) and experience implementing on-prem/hybrid deployments
Practical experience with LLMs, RAG, embedding pipelines and vector DBs, and designing explainability and auditability into AI outputs
Strong client-facing skills: running discovery workshops, producing SOW-level technical designs, and managing technical escalations
Advantageous Skills:
Prior experience implementing RM/Wealth Management tooling or CRM/PMS integrations for banks
Certifications: AWS/Azure/GCP Architect, CISSP/CISM, TOGAF, or Project Management certification
Experience operating a SaaS platform with per-client isolation or running managed services for banks
Proven experience delivering enterprise implementations for banks or regulated financial institutions (vendor/consulting or fintech role preferred)
Degree in Computer Science / Engineering / Data Science or equivalent experience
Familiarity with banking regulations and data privacy - experience producing compliance artefacts is a plus
Familiar with MLOps tools and CI/CD for models (Airflow, MLflow, Kubeflow or equivalents), infra-as-code (Terraform/ARM), and config management.
Manila Recruitment

Manila City, Metro Manila
Permanent
Full-time