AI Architect

Evotym; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Transparent team culture

High-impact role in scaling fintech

Recognition of personal milestones

Social benefits

Job summary

Evotym is seeking an experienced AI/ML architect to define the AI architecture and technology roadmap for its fintech-oriented platform. You will design and deploy production-grade AI and LLM-powered systems, including agents, RAG, and workflow orchestration, across cloud infrastructure, Docker, and Kubernetes.

You will evaluate models, integrate with APIs, and establish standards for monitoring, security, and governance while collaborating with engineering, product, and security teams to

Qualifications

• 8+ years of software engineering experience, including architecture or technical leadership.
• Proven experience designing and deploying production-grade AI or LLM-powered systems.
• Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search.
• Experience with AI agents, tool calling and workflow orchestration.
• Strong backend architecture skills, including distributed systems, microservices and APIs.
• Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure.
• Understanding of AI evaluation, monitoring, security, privacy and data governance.
• Ability to balance solution quality, scalability, latency and cost.
• Fintech or payments experience is an advantage.
• Knowledge of Russian or Ukrainian is required.
• Ability to work remotely with reasonable overlap with Central European Time (CET).
• Ownership and accountability for architectural decisions and delivery.
• Cross-functional collaboration with engineering, product and business stakeholders.
• Clear communication of technical concepts and trade-offs to different audiences.
• Adaptability as AI technologies develop, with a focus on practical business value.

Responsibilities

• Define the AI architecture and technology roadmap in line with business objectives.
• Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows.
• Develop RAG architectures, semantic search and enterprise knowledge systems.
• Evaluate AI models, platforms and infrastructure for performance, security and cost.
• Integrate AI solutions with existing APIs, backend systems and microservices.
• Establish standards for AI evaluation, monitoring, observability and security.
• Collaborate with Engineering, Product and Security teams to deliver measurable business impact.
• Guide AI initiatives from proof of concept to production and promote engineering best practices.

Skills

AI architecture

LLM-powered systems

Agents and workflow orchestration

RAG architectures

Embeddings and vector search

Backend architecture - distributed

Microservices and APIs

Cloud platforms

Docker

Kubernetes

Security, privacy and data governance

Performance vs cost trade-offs

Fintech/payments domain

Russian/Ukrainian language

Cross-functional collaboration

Communication of technical concepts

Delivery ownership

Adaptability to AI tech developments

Tools

Docker

Kubernetes

Job description

Описание

Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes.

Задачи

• Define the AI architecture and technology roadmap in line with business objectives.
• Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows.
• Develop RAG architectures, semantic search and enterprise knowledge systems.
• Evaluate AI models, platforms and infrastructure for performance, security and cost.
• Integrate AI solutions with existing APIs, backend systems and microservices.
• Establish standards for AI evaluation, monitoring, observability and security.
• Collaborate with Engineering, Product and Security teams to deliver measurable business impact.
• Guide AI initiatives from proof of concept to production and promote engineering best practices.

Требования

• 8+ years of software engineering experience, including architecture or technical leadership.
• Proven experience designing and deploying production-grade AI or LLM-powered systems.
• Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search.
• Experience with AI agents, tool calling and workflow orchestration.
• Strong backend architecture skills, including distributed systems, microservices and APIs.
• Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure.
• Understanding of AI evaluation, monitoring, security, privacy and data governance.
• Ability to balance solution quality, scalability, latency and cost.
• Fintech or payments experience is an advantage.
• Knowledge of Russian or Ukrainian is required.
• Ability to work remotely with reasonable overlap with Central European Time (CET).
• Ownership and accountability for architectural decisions and delivery.
• Cross-functional collaboration with engineering, product and business stakeholders.
• Clear communication of technical concepts and trade-offs to different audiences.
• Adaptability as AI technologies develop, with a focus on practical business value.

Условия

• Competitive salary aligned with experience.
• Collaborative and transparent team culture.
• High-impact role in a scaling fintech company.
• Recognition of personal milestones and achievements.
• Social benefits.