AI Architect

EPAM Systems; Województwo pomorskie; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid by design—remote options in POL

Relocation opportunities within Poland

Certification programs (Anthropic, GCP

AWS certification

Job summary

EPAM Systems is seeking an experienced AI Architect to lead end-to-end architecture for an AI-driven financial advisory platform. You will own data ingestion, ontology, graph structures, and DSL interfaces, ensuring robust governance and traceability throughout the stack.

You will collaborate with engineering, compliance, and clients to align architecture with regulatory and business requirements, delivering auditable, scalable solutions in a hybrid work model with remote options in Poland.

Qualifications

• 7+ years of experience in AI Engineering or related role.
• Strong hands-on Python development experience with FastAPI.
• Experience designing AI agent orchestration systems, including LLM gateways.
• Understanding of responsible AI governance and regulatory mapping.
• Experience with AWS in production environments.
• Rigorous testing practices including unit, integration, and UAT.
• Proficiency in observability and structured logging.
• Excellent written and spoken English (B2+).

Responsibilities

• Own and drive end-to-end architecture from data ingestion to AI advisory outputs.
• Define contracts across data assets, ontology, graph structures, and DSL.
• Design governance with ADR/RFCs and traceable justification.
• Build hands-on solutions and iterate while maintaining quality.
• Incorporate verification, runtime checks, and auditability across layers.
• Collaborate with engineering, compliance, and clients to meet requirements.

Skills

Python development

AI agent orchestration

AWS cloud

Testing practices

Observability

English proficiency

Architecture governance

Tools

FastAPI

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.