Smartedge Solutions
AI Architect
London
Posted about 14 hours ago
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Essential skills/knowledge/experience:
AI Architect: (Exp Range 7+)
- Design agentic AI architectures using multi-agent orchestration patterns (planner-executor, supervisor-worker, tool-using agents).
- Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
- Design audit-ready agent interactions, tool usage logs, and decision provenance.
- Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).
- Hands-on expertise with agentic frameworks (orchestrators).
- Experience with LLMs, prompt engineering, tool/function calling, memory management.
- API-first integration, event-driven architectures, and data pipelines.
- Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.
- Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
- Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.
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Desirable skills/knowledge/experience: (As applicable)
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- Knowledge of MLOps / AgentOps, CI/CD, and observability.
- Strong understanding of regulated financial services environments.
- Proven experience implementing AI risk controls, model governance, and auditability.
- Ensure alignment with FCA, PRA, data privacy, model risk management, and internal policies.
- Knowledge of banking processes: retail banking, lending, payments, compliance.
- Strong experience designing end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Hands-on expertise with cloud AI platforms (GCP).
- Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.
- Experience architecting scalable real-time, batch, and streaming inference systems with clear performance and reliability requirements.
- Familiarity with secure cloud patterns, IAM, VPC design, and data protection.
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Skills
Agentic AI Architecture
Multi-agent Orchestration
LLMs
Prompt Engineering
RAG Patterns
Vector Databases
Google Cloud Platform
LangGraph
API-first Integration
Event-driven Architecture
MLOps
AgentOps
Model Governance
Financial Services Compliance
LLMOps
Data Pipelines
Location