Deloitte

Audits companies and advises on tax and technology

Agentic AI Technical Consultant

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timePolandNo salary listedIn-person

About the Job

Requirements

A 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.
An EU work permit.

Responsibilities

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.

Desired Qualifications

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.

Who we are looking for

Join Deloitte’s growing Agentic AI practice and help shape the next generation of enterprise AI solutions.

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

Nice to have:

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.

Your future role

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.

What we offer

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.

Selection process

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 Deloitte

Deloitte is one of the world’s leading professional services organizations, helping clients address complex business and technology challenges. In Central Europe, our teams combine industry knowledge, consulting experience, and technology expertise to deliver practical solutions for local and international organizations.

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.

#LI-AN2

< Back to search jobs

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size: 10,001+
Company stage: Late Stage VC
Total funding: $17.1M
Headquarters: New York, NY
Founded: 1845

Recently Posted Jobs

Explore more opportunities at Deloitte

See more jobs