Job Description

AMIO Bank is seeking a technically strong Senior AI Solutions Engineer / AI Solutions Architect to identify, design, validate, and implement production-ready AI solutions across our digital products and internal operations.

Responsibilities:
  • Evaluate business challenges across banking units and identify high-value, practical AI and ML use cases.
  • Conduct feasibility studies to determine whether AI/LLMs are the appropriate technical solution for specific business problems.
  • Design end-to-end AI architectures, defining clear specifications for modern GenAI models, RAG systems, AI agents, and custom APIs.
  • Build hands-on prototypes and Proofs of Concept (PoCs), leading their path into robust production environments.
  • Define and integrate AI microservices with internal core banking systems, digital channels, and enterprise databases.
  • Collaborate closely with Information Security, Risk, Compliance, and IT teams to evaluate hallucination risks, data leakage, privacy, and regulatory requirements.
  • Establish evaluation metrics to measure model accuracy, response reliability, latency, and drift post-launch.
  • Implement ongoing monitoring tools for production AI models and agentic workflows.
  • Vendor & Platform Evaluation: Evaluate external AI platforms, proprietary LLMs, open-source models, and third-party vendors to optimize cost, latency, and performance.
  • Serve as the bridge between technical engineering teams and non-technical business leaders.
  • Educate product managers and business stakeholders on realistic AI capabilities, limitations, and best practices.
  • Help establish bank-wide standards for responsible, secure, and ethical AI deployment.
Required Qualifications:
  • 4+ years of experience software engineering with at least 2+ years focused on production-level AI/ML systems.
  • Advanced proficiency in Python, REST/gRPC API integration, and standard ML frameworks.
  • Deep practical expertise with LLM orchestration, RAG (Retrieval-Augmented Generation), Model Context Protocol (MCP), and building autonomous AI agents/skills within OpenAI or Claude ecosystems.
  • Strong foundation in machine learning fundamentals, predictive analytics, data modeling, and vector databases (e.g., Pinecone, Qdrant, Milvus, or PGVector).
  • Demonstrated experience deploying containerized applications (Docker, Kubernetes) and managing CI/CD pipelines for AI services.
  • Ability to evaluate trade-offs between custom fine-tuning, RAG, prompt optimization, and off-the-shelf APIs based on cost, latency, and risk.
Benefits:
  • Lead-level ownership of high-visibility AI projects in a rapidly transforming financial institution.
  • Direct access to modern tech stacks and resources required to build cutting-edge solutions.
  • Collaborative culture working alongside experienced leaders across Digital Banking, Risk, IT, and Product teams.
  • Competitive salary package and professional growth opportunities within AMIO Bank.
Nice To Have:
  • Prior experience in Banking, Financial Services, or Fintech environments.
  • Deep understanding of banking security standards, data masking, ISO requirements, and financial regulatory frameworks.
  • Knowledge of quantitative customer analytics, next-best-action models, or predictive credit scoring
Skills:
  • Python
  • REST/gRPC API integration
  • LLM orchestration
  • RAG (Retrieval-Augmented Generation)
  • Model Context Protocol (MCP)
  • AI agents
  • Machine learning
  • Predictive analytics
  • Data modeling
Technologies:
  • Python
  • OpenAI
  • Claude
  • Pinecone
  • Qdrant
  • Milvus
  • PGVector
  • Docker
  • Kubernetes
  • CI/CD
Note:

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