Expert Architect

Salary range: B2B - 48 - 52E+ VAT 💰

Ciklum is looking for an Expert Architect to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As an Expert Architect, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

• Define and evolve Ciklum’s AI Engineering strategy, frameworks and best practices across clients and internal initiatives

• Serve as the primary technical advisor to executive stakeholders (CTOs, CIOs, VPs of Engineering) on AI strategy and system architecture

• Drive the vision and roadmap for enterprise AI adoption, guiding teams on architecture, governance, and value realization

• Lead the design, development and deployment of advanced AI systems across Data Science and AI Engineering domains

• Architect and implement scalable AI pipelines and LLM-driven applications, including retrieval-augmented generation (RAG), orchestration and multi-agent systems

• Act as the overall AI architecture authority across multiple engagements, ensuring design excellence, scalability and alignment with client enterprise standards

• Contribute hands-on to development activities, from experimentation and prototyping to production-grade implementation

• Collaborate with cross-functional engineering, data and product teams to align technical solutions with client and business objectives

• Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation and continuous improvement of AI models and pipelines

• Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability

• Drive innovation through internal frameworks and accelerators 

• Ensure all AI solutions comply with security, data privacy and responsible-AI standards

• Champion innovation in AI through the creation of reusable frameworks, accelerators, and reference architectures

• Evangelize AI best practices internally and externally through publications, talks, and open-source contributions

• Guide client and internal teams in adopting emerging AI paradigms such as agentic systems, RAG frameworks and autonomous orchestration

• Lead and mentor senior AI engineers, fostering a culture of excellence, experimentation and continuous learning across teams and practices (e.g., contributing to Ciklum’s AI Academy)

• Represent Ciklum’s AI capability in public forums, conferences, and strategic client discussions

• Collaborate with marketing and partnerships teams to strengthen Ciklum’s brand as an AI thought leader

Commercial / Presales:

• Drive technical leadership in presales engagements, shaping AI strategies and architectures that align with client business objectives

• Collaborate directly with C-suite and senior client executives to define AI roadmaps, value propositions, and investment priorities

• Produce high-quality technical content for proposals, RFPs, whitepapers, and thought-leadership materials

• Partner with delivery and commercial teams to identify new growth opportunities and establish Ciklum as a trusted AI partner

Leadership & Practice Development:

• Provide strategic and technical leadership to AI engineering teams across multiple projects and geographies

• Shape hiring strategy and talent development plans to scale AI capabilities within Ciklum

• Mentor, coach and review work of Expert-level engineers, ensuring consistent delivery quality and architectural rigor

• Contribute to the definition and rollout of AI practice-wide standards, playbooks, and reusable components

Requirements:

We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

• 10+ years of professional experience in software or data engineering, including at least 4–5 years in AI/ML solution architecture or AI leadership roles

• Demonstrated experience leading cross-functional AI programs or large-scale AI solution deliveries

• BSc, MSc, or PhD in Computer Science, Mathematics, Engineering or a related quantitative field

• Deep understanding of probability, statistics and the mathematical foundations of machine learning and optimization

• Proven experience architecting and scaling enterprise-grade AI systems, including LLM-driven and multimodal solutions, across production environments

• Experience defining AI system blueprints, reference architectures, and integration patterns across multiple domains and client ecosystems

• Exposure to agentic system design, retrieval-augmented generation (RAG) and prompt engineering techniques

• Strong proficiency in Python and common AI/ML development frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face or equivalent)

• Solid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and continuous improvement

• Familiarity with AI solution delivery methodologies (e.g., CRISP-ML(Q), TDSP or modern agile ML lifecycles)

• Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards

Specific technical requirements:

• Proven experience in architecting and implementing end-to-end AI/ML solutions — from data ingestion and model training to deployment, monitoring and optimization

• Strong software engineering skills for AI system development, including data processing, API integration, and model serving (Python, SQL and optionally Java/Scala or similar)

• Hands-on experience with cloud-native AI platforms and services (AWS SageMaker, Azure ML, GCP Vertex AI or NVIDIA AI stack)

• Proficiency in designing scalable ML/LLM pipelines and applying MLOps/LLMOps best practices (CI/CD, orchestration, monitoring, versioning, and deployment automation)

• Experience with diverse data modalities (structured, text, image, audio, video) and multimodal model integration

• Familiarity with handling complex data scenarios such as class imbalance, time-series forecasting and anomaly detection

• Understanding of security, data governance and compliance considerations in AI system design

Domain experience:

• Ability to advise senior stakeholders on AI opportunity assessment, ROI modeling and transformation strategies

• Experience designing AI governance frameworks and compliance strategies in highly regulated industries

• Broad exposure to enterprise-scale AI solution design across industries such as BFSI, Healthcare, Aerospace, Manufacturing, Energy, Telecom or Technology sectors

• Proven ability to translate business and operational requirements into robust AI system architectures that deliver measurable impact

• Familiarity with challenges of deploying AI in regulated environments and ensuring compliance with data privacy and protection frameworks (e.g., GDPR, CCPA, PCI DSS)

• Experience managing sensitive or high-value data (PII, PHI), implementing strong security, governance and access control mechanisms

• Understanding of enterprise data ecosystems and integration patterns (CRM, ERP, knowledge management or workflow systems)

Business-related requirements:

• Strong executive communication and storytelling ability, capable of influencing technical and business audiences alike

• Proven record of representing organizations in external speaking engagements, conferences, or public panels

• Demonstrated experience driving innovation initiatives and contributing to organizational AI strategy

• Proven experience delivering production-grade AI solutions that achieve measurable business and operational outcomes

• Strong ownership of the full AI engineering lifecycle — from problem framing and architecture design to deployment, optimization, and continuous improvement

• Ability to align technical decisions with business priorities, ensuring scalability, reliability, and measurable value from AI initiatives

• Excellent collaboration and communication skills to work effectively with cross-functional stakeholders, delivery teams, and clients

• High degree of autonomy, accountability, and attention to detail in managing complex, multi-component AI systems

Desirable:

• Track record of AI thought leadership through publications, blogs, podcasts or open-source contributions

• Recognized presence in professional or academic AI communities (e.g., conferences, research collaborations)

• Experience building and scaling internal AI centers of excellence or practice communities

• Strong background in software or solution architecture, ideally with previous experience as a Software or Data Architect

• Proven ability to design scalable, distributed, and fault-tolerant AI architectures, integrating APIs, microservices, and event-driven components

• Experience with MLOps and LLMOps practices, including pipeline automation, containerization (Docker, Kubernetes), and continuous deployment of AI models

• Deep learning expertise using TensorFlow, PyTorch, or JAX, including fine-tuning and optimization of large models

• Hands-on experience with Large Language Models (LLMs), Generative AI applications, and agentic or RAG-based systems

• Advanced SQL and familiarity with modern data platforms (Databricks, Snowflake, or equivalent)

• Experience with Big Data and streaming frameworks (Apache Spark, Kafka, Flink, etc.)

• Understanding of NoSQL and graph databases (e.g., Cassandra, Neo4j) and their role in AI knowledge management

• Experience with cloud-native architectures and certified expertise in AWS, Azure, or GCP AI/ML services

• Exposure to research or innovation projects, with publications or open-source contributions considered an advantage

What`s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment

• Growth focus: Take on large-scale projects with a global impact and expand your expertise

• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications

• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies

• Flexibility: Enjoy flexibility – full remote working possibilities

• Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

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Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.