Senior AI Solutions Engineer — Digital Banking
Description
Senior AI Solutions Engineer / AI Solutions Architect — Digital Banking
Location: Yerevan, Armenia (Hybrid / On-site)
Employment Type: Full-time
Seniority Level: Mid-Senior / Lead Level
About the Role
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.
This is a high-impact role bridging business strategy, system architecture, and hands-on software development. You will guide AI initiatives through the entire delivery lifecycle: evaluating business feasibility, building PoCs, designing scalable architecture, ensuring information security, and integrating solutions into live core banking infrastructure.
Key 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 & Technical Skills
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.
Preferred Qualifications
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
What We Offer
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.