Solution Architect - AI (m/f/d)

EPAM Systems; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

EPAM Systems in Frankfurt, Stuttgart or Munich (Germany) is seeking a Solution Architect – AI to design enterprise‑scale AI architectures in a hybrid setup. You will deliver hands‑on architectures, provide advisory input, and support pre‑sales with technical proposals.

You will work with Gen‑AI, agentic platforms, and modern data stacks, translating regulatory requirements into designs while mentoring teams and collaborating with stakeholders.

Qualifikationen

• 6–10 years IT experience including 3+ years in solution or technical architecture.
• Experience designing Generative AI solutions with LLM integration and RAG patterns.
• Familiarity with compliant governance (ISO 27001, GDPR, DORA).
• Excellent client-facing communication in German and English.
• Experience in consulting or pre-sales is a plus.

Aufgaben

• Design and implement AI solution architectures for enterprise engagements.
• Collaborate with business and technology stakeholders to align solutions with objectives.
• Mentor teams and share reusable patterns using shift-left approach.
• Architect Gen-AI and agentic solutions including LLM integration, RAG, and vector stores.
• Translate business, security and regulatory requirements into technical designs.
• Maintain architecture governance and program documentation.
• Support pre-sales with blueprints, proposals, and client presentations.
• Participate in client workshops and architecture councils; assess new AI/cloud tech.

Kenntnisse

Generative AI design

LLM integration

Architectural design

Stakeholder management

German & English fluency

Pre-sales support

Communication with clients

Ausbildung

Bachelor's or Master's in CS/Engineering

TOGAF knowledge/certification

Cloud certifications (AWS/Azure/GCP)

Tools

AWS

Azure

GCP

Snowflake

Databricks

GitHub Copilot

Claude Code

Jobbeschreibung

We're looking for a Solution Architect – AI (m/f/d) to join our team in Frankfurt, Stuttgart or Munich, Germany, in a hybrid working mode. In this role, you will design AI solution architectures for enterprise‑scale engagements, focusing on Generative AI and agentic systems. The position combines hands‑on technical delivery, advisory and pre‑sales activities, using a shift‑left approach to share AI knowledge and accelerate capability‑building across teams. You will participate in client workshops, architecture reviews and executive discussions, gaining the experience required to progress toward senior architecture leadership roles.

Responsibilities

• Design and implement AI solution architectures for enterprise engagements across multiple industries
• Collaborate with business and technology stakeholders to align solutions with client objectives
• Champion a shift‑left approach by sharing reusable patterns and mentoring team members
• Architect Gen‑AI and agentic solutions including LLM integration, RAG, vector stores and orchestration
• Translate business, security and regulatory requirements into technical designs referencing ISO 27001, GDPR and DORA
• Ensure architecture governance and maintain documentation throughout program phases
• Partner with delivery teams to validate designs and resolve technical trade‑offs
• Support pre‑sales with architecture blueprints, technical proposals and client presentations
• Engage in client workshops and participate in architecture councils across engagements
• Evaluate emerging AI and cloud technologies for feasibility and share recommendations with the practice

Requirements

• 6–10 years of IT experience including 3+ years in solution or technical architecture
• Strong practical experience designing Generative AI solutions including LLM integration and RAG patterns
• Experience in at least one of the following: building or extending agentic platforms, delivering solutions where AI agents execute implementation with human oversight, integrating AI‑for‑Business capabilities into live production systems
• Familiarity with AWS, Azure or GCP and related integration patterns
• Knowledge of compliance and governance frameworks including ISO 27001, DORA and GDPR
• Strong understanding of model-risk and data‑handling practices in regulated environments
• Excellent communication skills for client‑facing engagements
• Fluency in German and English
• Bachelor’s or Master’s degree in Computer Science, Engineering or related field
• Nice to have Knowledge of enterprise architecture frameworks (TOGAF, Zachman)
• Exposure to AI governance and model risk management practices
• Familiarity with modern data platforms such as Snowflake or Databricks
• Hands‑on experience with AI development tools like GitHub Copilot or Claude Code
• Certifications in cloud technologies (AWS, Azure, GCP) or TOGAF
• Previous experience in consulting or client‑facing roles