Senior Technical Architect leading solution design and technical delivery for bank clients. Focused on transforming legacy technology into intelligent, AI-driven solutions.
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
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
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
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