EPAM Systems

AI Architect

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NieokreśloneOn-site·GdańskFull-time

#367316·Dodano 4 miesiące temu·0

Źródło: EPAM Systems

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Tech Stack / Keywords

AIArchitectureWeb ServicesPython Neo4j

Podsumowanie oferty

The AI Architect will work on a multi-service platform for financial analysis, portfolio construction, and AI-assisted investment advisory. The platform integrates a Snowflake-backed data lake with a Neo4j dual-graph architecture, enabling unified querying through a financial domain-specific language. The role involves designing and maintaining the end-to-end architecture, ensuring governance, verification, and compliance with responsible AI principles. Collaboration with engineering, compliance, and client stakeholders is essential to meet regulatory and business requirements.

Wymagania

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

Obowiązki

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

Benefity

Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events

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