Senior AI Solution Architect

Overview

Senior Ai Solution Architect

• Solution Architecture Ownership & Leadership

• The Authoritative Blueprint: Produce and maintain the end-to-end architecture blueprints, system context diagrams, component designs, data flow models, and API specifications for four delivery pods.
• Architectural Decisions (ADRs): Make, document, and defend binding architectural choices, evaluating constraints and long-term impacts.
• Pod Governance: Run architecture reviews with pod tech leads to ensure cross-cutting cohesion and resolve conflicts early.
• Executive Stakeholder Management: Present, defend, and earn confidence in the technical design under scrutiny from the client's CTO, CISO, and Enterprise Architecture Board.

• AI & Agentic System Design

• Orchestration & Routing: Design LLM routing strategies, multi-agent coordination patterns, intent classification pipelines, and session/memory management.
• The Tool Gateway: Specify the deterministic policy engine implementing the Trust Dial (Suggest / Approve / Act) governance framework.
• Context & RAG: Design vector database schemas, embedding pipelines, retrieval strategies, and real-time context data contracts.
• Inference Optimization: Oversee model selection (Anthropic Claude Haiku/Sonnet), token budget management, latency SLAs, and circuit-breaker/fallback design.
• Evaluation Infrastructure: Establish automated production AI evaluation, continuous verification, and tracing pipelines.

• Banking Systems & Modernization Integration

• Legacy Decoupling: Define an API facade strategy to progressively wrap, version, and migrate the bank's 70% legacy services using strangler fig patterns.
• Financial Controls: Enforce integration standards covering authentication, authorization, rate limiting, and critical financial idempotency patterns.
• Real-Time Streaming: Specify the Kafka/MSK event infrastructure to stream real-time banking triggers (e.g., salary credits, fraud flags) directly to the AI orchestrator.

• Security, Compliance & Governance

• Threat Modeling: Map and mitigate prompt injections, data exfiltration, model manipulation, and API abuse vectors.
• Model Risk Management (MRM): Build the technical framework for audit logging, model explainability mechanisms, and human-in-the-loop compliance checkpoints.
• DevSecOps & Cost: Architect container security gates, SAST/DAST integration, secrets management, and efficient LLM auto-scaling/cost attribution profiles.

Required Experience & Qualifications

• Enterprise Architecture: 8+ years of hands-on architecture experience delivering large-scale, complex technology programs. Strong pattern knowledge across microservices, event-driven architectures, saga orchestration, and CQRS.
• Banking Domain Fluency: 5+ years of banking or fintech architecture experience. Deep knowledge of retail platforms, payment rails (SWIFT, local ACH/RTGS), card management, fraud/AML engines, and core legacy system integration.
• Production AI Architecture: 3+ years designing and operating real-world LLM or AI/ML systems at scale (not proof-of-concepts). Expert-level knowledge of RAG pipelines, agent state tracking, and tool calling schemas.
• Cloud & Security: High proficiency in AWS, Azure, or GCP cloud architecture, Kubernetes orchestration, zero-trust patterns (mTLS, OAuth 2.0/OIDC), and IaC (Terraform/CDK).

Desirable Criteria

• Academic background in Computer Science or Software Engineering.
• Relevant professional certifications (e.g., AWS Solutions Architect Pro, Azure Solutions Architect Expert, TOGAF).
• Architectural experience with regional frameworks (CBUAE, DFSA, ADGM) and mobile runtime systems like Flutter.

Remote