Agentic AI Technical Senior Consultant | Poland

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 scalable, reliable solutions for real-world use. Deloitte works 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field
• Solid hands-on experience in software engineering, integration, data engineering, or AI/ML implementation
• Practical experience implementing solutions using generative AI or agentic AI platforms
• Strong Python skills and experience building backend components, APIs, microservices, or integration layers
• Experience working with APIs, data flows, system integrations, and enterprise technology environments
• Familiarity with cloud platforms such as Azure, AWS, or GCP and related services
• Ability to understand solution architecture diagrams, technical designs, and translate them into implementation plans
• Strong problem-solving skills, technical ownership mindset, and ability to guide others in delivery

Nice to have:

• Experience with AI orchestration frameworks or platforms
• Experience with RAG, vector databases, prompt orchestration, guardrails, and document ingestion pipelines
• Experience with data engineering tools and modern data stacks such as dbt, Apache Airflow, Azure Data Factory, AWS Glue, Apache Spark, Databricks, Kafka, Flink, Snowflake, BigQuery, Redshift, Azure Synapse, or Delta Lake
• Exposure to enterprise platforms such as ServiceNow, Salesforce, SAP, procurement systems, or workflow engines
• Experience with containerization and deployment tools such as Docker, Kubernetes, and CI/CD pipelines
• Experience with Infrastructure as Code, especially Terraform
• TypeScript development experience, especially for service integrations, tooling, or frontend/backend components
• Practical experience in consulting or client-facing project delivery
• Experience defining business requirements, use cases, user stories, or functional specifications
• Experience leading technical workstreams or mentoring junior team members

• Design and implement AI agent workflows, including tool-calling, routing, and orchestration between models, services, and data sources
• Develop and configure backend components such as Python services, APIs, microservices, and integration layers
• Integrate AI solutions with enterprise systems including CRM, ERP, ticketing platforms, knowledge bases, and workflow engines
• Implement RAG, prompt orchestration, guardrails, and evaluation mechanisms for safe and reliable AI behavior
• Build data layers that support agentic solutions with structured and unstructured data, including ingestion, transformation, retrieval, and governance
• Translate business requirements and solution designs into technical implementation plans
• Lead technical workstreams or own specific solution components on client engagements
• Make technical design decisions related to AI workflows, integrations, platform configuration, and solution quality
• Develop, test, and optimize prompts, workflows, and agent behaviors based on evaluation metrics and user feedback
• Implement monitoring, logging, and basic observability for AI workloads and integrations
• Contribute to non-functional requirements such as robustness, performance, scalability, and resilience
• Participate in code reviews, technical documentation, deployment activities, and handover to client or support teams
• Identify technical, architectural, performance, or security risks and support their resolution
• Mentor junior consultants and engineers, supporting their technical growth and delivery quality
• Contribute to internal accelerators, reusable components, and practice development in the area of agentic AI