FinTech AI Solution Architect | Platform & Architecture

Teciem; Gdynia; On-site; PLN 260,000 - 380,000; Full time

Job summary

Teciem is seeking an experienced AI/LLM Solution Architect to design reference architectures and reusable patterns for enterprise AI across functions. You will set integration, security, and guardrail standards with tech ops, and build telemetry into AI tools to measure adoption and outcomes.

You will assess vendors and their tools for technical fit, align with the Product AI stack, and drive build-versus-buy decisions. This role partners with engineers and stakeholders across the business.

Qualifications

• 5+ years in solution or technical architecture with hands-on AI/ML/LLM systems.
• Track record shipping or integrating production AI tooling: APIs, agents, retrieval systems and MCP-style integrations.
• Ability to set reuse and quality standards that multiple teams adopt.
• Credibility with engineers and business stakeholders in the same room.
• Familiarity with enterprise AI stacks and application AI features (Salesforce, Microsoft, AWS Bedrock, Anthropic), plus AI telemetry and observability.
• Bonus: fintech or enterprise SaaS; data-platform or cloud-architecture depth.

Responsibilities

• Define reference architectures and reusable patterns for AI use cases across functions (Sales, Services, Customer Support, Finance, HR etc.).
• Set integration, security and guardrail standards together with tech ops.
• Build telemetry and observability into AI tools to measure adoption and outcomes.
• Assess vendors and their tools for technical fit and build-versus-buy.
• Align with the Product AI team on the shared stack and MCP.
• Run technology watch on what is worth adopting.

Skills

AI/LLM architecture

Solution architecture

API integration

Telemetry & observability

Stakeholder communication

Tools

Salesforce

Microsoft

AWS Bedrock

Anthropic

Job description

Teciem is seeking an experienced AI/LLM Solution Architect to design reference architectures and reusable patterns for enterprise AI across functions. You will set integration, security, and guardrail standards with tech ops, and build telemetry into AI tools to measure adoption and outcomes.

You will assess vendors and their tools for technical fit, align with the Product AI stack, and drive build-versus-buy decisions. This role partners with engineers and stakeholders across the business.