AI Architect

EPAM Systems; Województwo pomorskie; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Relocation opportunities

Stock Purchase Plan

Health insurance

Multisport

Vouchers

Job summary

EPAM Systems in Poland seeks an experienced AI Architect to lead end-to-end architecture for an AI-powered financial analysis platform. You will define contracts across data assets, ontology, graph structures, financial DSL, LLM gateway, tool gateway, agent layer, and user experience.

You will ensure governance, traceability, and compliance while delivering hands-on, scalable, verifiable solutions in collaboration with engineering and client stakeholders.

Qualifications

• 7+ years of AI engineering or related experience.
• Strong Python development with FastAPI and async/await.
• Experience designing AI agent orchestration systems and LLM/tool gateways.
• Knowledge of governance, compliance, auditability, and regulatory mapping.
• Production AWS experience and robust testing practices.
• Proficiency with modern AI tooling and CLI automation (GitLab, Jira).
• Hands-on observability using OpenTelemetry, Grafana, and structured logging.
• Excellent written and spoken English (B2+).

Responsibilities

• Own and drive end-to-end architecture from data ingestion to AI outputs.
• Define contracts across data, ontology, graph, DSL, LLM gateway, and user layers.
• Design scalable systems with documented ADR/RFC decisions and traceability.
• Build hands-on solutions, iterating while maintaining architectural consistency.
• Ensure verification, runtime checks, and auditability across layers.
• Collaborate with engineering, compliance, and client stakeholders.
• Maintain responsible AI practices with transparency and controlled exposure.

Skills

Python development

FastAPI

asyncio

pytest

type hints

monorepo

LLM gateways

tool gateways

SSE/WebSocket

agent orchestration

governance

AWS

unit/integration testing

BDD testing

code coverage

prompt engineering

CLI automation

GitLab/Jira

observability

OpenTelemetry

Grafana

logging

English communication

Tools

Snowflake

Neo4j

GitLab

Jira

Grafana

Phoenix

OpenTelemetry

Job description

We are looking for an experienced AI Architect to join our progressive team.

You’ll work with a multi-service platform designed for financial analysis, portfolio construction, and AI-assisted investment advisory. The platform combines a Snowflake-backed data lake with a Neo4j dual-graph architecture (domain ontology and lexical/GraphRAG), enabling unified querying of portfolios, financial instruments, and unstructured research through a single financial domain-specific language (DSL). The system supports both streaming chat and voice interfaces.

Responsibilities

• Own and drive the end-to-end architecture, from raw data ingestion to AI-powered advisory outputs
• Define and enforce clear contracts across all layers, including data assets, ontology and graph structures, financial DSL, LLM gateway, tool gateway, agent layer, and user experience
• Design systems with strong governance, ensuring all components are backed by documented architectural decisions (ADR/RFC) and traceable justification
• Build and deliver hands-on solutions, iterating incrementally while maintaining architectural consistency and quality
• Ensure all layers include robust verification mechanisms, including formal validation (where applicable), runtime checks, and auditability
• Collaborate with engineering, compliance, and client stakeholders to ensure the architecture meets regulatory, technical, and business requirements
• Maintain a defensible architecture aligned with responsible AI principles, including transparency, traceability, and controlled capability exposure
  
  

Requirements

• 7+ years of experience in AI Engineering or a related role
• Strong hands-on experience in Python development, including FastAPI, asyncio, pytest, type hints, and working within a monorepo structure
• Experience designing and implementing AI agent orchestration systems, including LLM gateways, tool gateways, streaming architectures (SSE and WebSocket), and agent-to-platform contracts
• Understanding of responsible AI governance, including capability boundaries, approval workflows, disclosure requirements, audit traceability, and regulatory control mapping
• Experience working with AWS cloud platforms in production environments
• Experience in rigorous testing practices, including unit, integration, and UAT/BDD testing, with enforced code coverage thresholds (≥90%)
• Proficiency with modern AI tooling, such as Cursor, MCP servers, prompt engineering techniques, and CLI automation tools (e.g., GitLab, Jira)
• Experience implementing observability using OpenTelemetry, Grafana or Phoenix, and structured logging practices
• Excellent command of written and spoken English (B2+ level)
  
  

Nice to have

• Understanding of data architecture principles, including ontology design, taxonomy, conceptual/logical/physical modeling, data contracts, and gap analysis
• Experience designing and working with knowledge graphs in Neo4j, including dual-graph architectures, Cypher queries, graph sizing, versioning, and GraphRAG patterns
• Ability to design and implement domain-specific languages, including grammar definition, type systems, semantic validation, and execution pipelines
• Familiarity with security practices, such as PBAC/RBAC, JWT authentication, security context propagation, secret management, and secure code practices (SAST)
• Experience integrating cloud data platforms, including Snowflake and AWS services, such as EKS, IAM, and ALB, using Helm and GitOps tools like ArgoCD
• Ability to create and maintain architectural documentation using ADR/RFC processes and manage their lifecycle effectively
• Knowledge of formal methods, such as Alloy or TLA+ for high-assurance system design
• Experience with voice and multimodal AI systems, including STT/TTS pipelines using platforms like OpenAI or AWS Bedrock
• Understanding of modern documentation practices (e.g., Diátaxis) and structured knowledge management
• Familiarity with compliance frameworks, regulatory traceability, and adversarial testing methodologies
• Exposure to additional ontology and modeling standards, such as RDF, SHACL, SKOS, or financial taxonomies
• Experience with CI/CD quality gates, including tools like Bandit and Radon, and automated merge request review processes
• Experience building and productizing AI advisory solutions in regulated financial environments
• Understanding of end-to-end governance flows, including disclosure handling, capability restriction, human-in-the-loop approvals, and full audit chain implementation aligned with compliance requirements
  
  

We offer

• We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• We cover it all:
• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events
• Please, note:
• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively
  

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.