Agentic AI Technical Consultant | Poland
Indexed description
We work with organizations across industries to design and implement AI agent solutions that automate processes, improve decision-making, and support real business outcomes in complex enterprise environments. In this role, you will collaborate with local and international Deloitte teams, work on client engagements, and help turn AI concepts into production-ready solutions.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
- At least 1 year of hands-on experience in software engineering, integration, data engineering, or AI/ML implementation.
- Practical experience with generative AI or agentic AI solutions, including implementation or configuration of AI workflows.
- Strong Python skills and experience working with APIs, data flows, and system integrations.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Understanding of Git, collaborative development practices, and technical documentation.
- Strong problem-solving skills and willingness to work across application, integration, and data layers.
- EU work permit
- Experience with RAG, vector databases, document ingestion pipelines, or AI orchestration frameworks.
- Exposure to enterprise platforms such as ServiceNow, Salesforce, SAP, procurement systems, or similar.
- Experience with data engineering tools and modern data stacks, such as dbt, Airflow, Azure Data Factory, Spark, Databricks, Kafka, Snowflake, BigQuery, Redshift, Azure Synapse, or Delta Lake.
- Experience with Docker, Kubernetes, CI/CD pipelines, Terraform, or other DevOps/MLOps practices.
- TypeScript development experience for integrations, tooling, or frontend/backend components.
- Previous experience in consulting, client-facing delivery, or defining business requirements, use cases, user stories, or functional specifications.
- Design and implement AI agent workflows, including tool-calling, routing, orchestration, and integration between models, services, and data sources.
- Build and configure backend components such as Python services, APIs, and microservices to support AI agent capabilities.
- Integrate AI solutions with enterprise systems, including CRM, ERP, ticketing tools, knowledge bases, and workflow engines.
- Implement RAG, prompt orchestration, guardrails, and evaluation mechanisms to support safe and reliable AI behavior.
- Build data layers for agentic solutions, covering ingestion, transformation, retrieval, and governance considerations.
- Work with architects, business teams, and client stakeholders to translate requirements into technical implementation plans.
- Support testing, monitoring, logging, documentation, handover, and continuous improvement of AI workloads.
- Opportunity to work on international AI engagements with real business impact.
- Exposure to enterprise-grade AI solutions, modern technology stacks, and complex client environments.
- Collaboration with experienced colleagues across consulting, technology, architecture, data, and AI.
- A clear path to grow toward AI architecture, technical leadership, product ownership, or AI strategy roles.
- A learning-oriented environment where you can develop both technical and consulting skills.
- Introductory conversation with the Talent Acquisition team.
- Technical interview focused on your engineering, integration, cloud, and AI implementation experience.
- Business or case discussion with the hiring team to understand your approach to real client scenarios.
- Final conversation and offer discussion.
About the team
You will join a growing Agentic AI practice focused on designing and delivering next-generation AI agent solutions for enterprise clients. The team works at the intersection of business, technology, and applied AI, combining technical delivery with consulting expertise to create solutions that are scalable, reliable, and ready for real-world use.
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