AI Solution Architect

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SeniorHybrydaFull-time

#361626·Dodano 5 miesięcy temu·1

Źródło: EPAM Systems

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Tech Stack / Keywords

ArchitectureAICloudMachine Learning

Firma i stanowisko

We are looking for an experienced AI Solution Architect responsible for designing scalable, enterprise-grade AI and data solutions within AI-native delivery pods. In this role, you will act as a pivotal bridge—ensuring perfect alignment between business objectives, product requirements, and technical architecture while driving the implementation of modern Data & AI platforms.

Wymagania

Deep understanding of AI engineering patterns like RAG, agentic workflows, and hybrid AI systems using frameworks such as LangChain, Semantic Kernel, and LlamaIndex
Proven experience with MLOps / LLMOps pipelines, evaluation frameworks, feedback loops, vector databases, and embedding pipelines
Hands-on familiarity with Databricks and Snowflake, ETL/ELT pipelines (both batch and streaming processing), data modeling, and semantic layers
High-level awareness of business intelligence tools like Power BI, Qlik, and Qlik Sense
Solid track record as a Solution Architect or Lead Engineer specializing in enterprise-grade Data & AI systems
Strong communication skills with the ability to articulate complex technical concepts to non-technical business stakeholders and Product Leads
Proactive focus on enterprise-grade security, scalability, performance tuning, and data governance

Obowiązki

End-to-End Architecture:

Define and design comprehensive, scalable architecture for enterprise AI and data solutions

AI-Native Innovations:

Design advanced AI-native patterns including RAG, agentic workflows, and robust data pipelines

Bridge Product & Tech:

Translate complex business objectives and product requirements into clear, executable technical designs

Engineering Mentorship:

Guide and mentor engineering teams on implementation standards, coding guidelines, and best practices

Governance & Principles:

Define, implement, and enforce strict architecture principles and data governance frameworks

Cross-functional Collaboration:

Partner closely with Product Leads, Data Architects, and Engineers to ensure seamless delivery

Quality Assurance:

Guarantee the highest standards of scalability, high performance, and robust security across all solutions

Tech Selection:

Support and lead technology evaluation, selection, and platform-level decisions

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

Elastyczne godziny

Kursy językowe

Budżet konferencyjny

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Premie

Udziały pracownicze

Darmowe przekąski

EPAM Systems

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