GenAI Architect (AI&Data)
WHO WE ARE
Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
At the AI&Data, we work locally and globally with over 250 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
THE WORK
As an GenAI Architect, you will define how autonomous agentic AI ecosystems are designed, built, and governed at enterprise scale - systems where hundreds of specialized agents collaborate to solve real business problems for some of the most recognizable companies in the world.
You will:
Define enterprise AI strategy - deciding when to leverage commercial models vs. self-hosted open-source models, optimizing for cost, performance, security, and compliance
Architect large-scale autonomous multi-agent ecosystems: designing agent orchestration, task delegation, context management, and agent-to-agent communication patterns across the organization
Design the enterprise integration layer that connects autonomous agents to corporate systems - REST/API, event-driven architectures, MCP, and custom connectors - enabling agents to act within the existing technology landscape, not alongside it
Design distributed vector architectures and knowledge layers: embeddings pipelines, indexing strategies, metadata management, and RAG policies that give agents access to enterprise knowledge at scale
Own security, compliance, and quality at the architecture level: PII handling, authorization models, access control, agent quality metrics (factuality, hallucination rate, latency, cost per query), and ensuring adherence to regulations including the AI Act
Own production excellence: enterprise-grade cloud architecture (AWS, Azure, GCP) with full observability, automated evaluation pipelines, monitoring, cost governance, and Responsible AI guardrails
Act as a technical authority - setting architectural standards, coordinating across DevOps, Security, and business stakeholders, mentoring senior engineers, and shaping Accenture's global reference architecture for agentic AI
Interview Note:
During your meeting with our Technical Partners, we'd like to see how you approach complex architectural challenges in practice - using your preferred development environment, including any AI-assisted tools you work with. Be ready to share your screen and walk us through your thinking.
WHAT’S IN IT FOR YOU?
Direct impact on Accenture's global reference architecture for agentic AI - shaping how enterprise-scale autonomous systems are designed and governed.
A platform as a recognized thought leader in the enterprise AI space - with visibility across global projects and C-level stakeholders.
Work at the intersection of cutting-edge AI and real enterprise complexity - the problems you solve here don't exist anywhere else at this scale.
HERE’S WHAT YOU’LL NEED
Extensive experience (10+ years) in software architecture, data engineering, or ML engineering, with deep hands-on expertise in the GenAI and agentic AI space
Proven track record of designing and delivering autonomous multi-agent systems at enterprise scale in commercial environments
Expert-level understanding of agentic architecture patterns - able to define the strategy, evaluate trade-offs across approaches, and set the technical direction for large teams
Deep knowledge of model orchestration, inference cost optimization, and selecting the right cutting-edge models (commercial and open-source) for each use case
Experience architecting large-scale vector data systems and embedding pipelines
Ability to design highly secure, privacy-preserving AI systems resilient to hallucinations and adversarial inputs
Expert-level knowledge of AI-assisted development tools and workflows (e.g., Cursor, Copilot, or similar) - not just personal proficiency, but the ability to define tooling standards, best practices, and productive setups for engineering teams
Deep understanding of LLMOps: model versioning, evaluation pipelines, prompt management, cost monitoring, and CI/CD for AI applications - able to define the LLMOps strategy for the team and ensure production-grade operational maturity
Strong cloud architecture experience (AWS, Azure, or GCP)
Exceptional communication skills - able to lead technical conversations with both engineering teams and C-level stakeholders (Polish and English)
BONUS POINTS IF YOU HAVE
Experience establishing global AI governance frameworks aligned with regulatory standards (e.g., AI Act)
Experience designing observability layers for enterprise agentic architectures
Contributions to open-source projects, published research, or recognized thought leadership in the agentic AI space
Experience scaling engineering teams and establishing technical standards across multiple projects or geographies
Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.
WHAT WE OFFER?
A permanent employment contract
Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
A comprehensive training package, including: soft skills, technical and language training, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses and certifications
Employee Assistance Program offering legal, financial and psychological consultations
Employee Share Purchase Plan — employees who own company shares are automatically eligible for quarterly dividends
Paid employee referral program
Private medical care and life insurance
Access to the Worksmile benefits platform (including the Multisport card)
WHAT WE BELIEVE
Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.
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Warsaw
Krakow
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