Deloitte

Audits companies and advises on tax and technology

Agentic AI Technical Specialist Lead

AI Application EngineeringConfirmed 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 7 years of hands-on experience in software engineering, systems integration, data engineering, AI/ML implementation, automation, or enterprise technology delivery.
Experience leading technical workstreams, solution components, or delivery teams in client-facing projects.
Strong understanding of generative AI, large language models, agentic AI, AI orchestration, retrieval-augmented generation, vector databases, prompt design, guardrails, and evaluation methods.
Strong Python skills and practical experience delivering backend and API-based solutions.
Experience with REST and/or GraphQL APIs, system integrations, data flows, and enterprise application landscapes.
Experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
Experience with structured and unstructured data, document ingestion, embedding pipelines, vector stores, and modern data platforms.
Ability to review and challenge solution architectures, technical designs, integration patterns, and non-functional requirements.
Understanding of Git, code review, testing, CI/CD, DevOps or MLOps practices, and production-readiness considerations.
Ability to translate business requirements into technical scope, implementation plans, estimates, risks, and delivery milestones.
Ability to guide teams while remaining close enough to implementation details to ensure technical quality.
EU work permit.

Responsibilities

Lead technical workstreams and solution components across local and international client engagements.
Own implementation approaches for AI workflows, tool calling, routing, orchestration, backend services, APIs, data layers, and enterprise integrations.
Shape AI agent solution designs together with architects, product owners, technical leads, and client stakeholders.
Make and document key design decisions across workflows, integrations, orchestration platforms, cloud services, data flows, and enterprise connectivity.
Oversee implementation of retrieval-augmented generation, prompt orchestration, guardrails, evaluation, monitoring, and logging patterns.
Guide teams through architecture, performance, scalability, observability, security, privacy, reliability, and production-readiness decisions.
Review implementation plans, code quality, documentation, integration design, testing approaches, and deployment readiness.
Balance business value, technical feasibility, maintainability, scalability, risk, and delivery effort.
Identify and resolve technical risks, blockers, dependencies, and quality issues before they affect delivery outcomes.
Coordinate technical dependencies across Deloitte teams, client IT, platform teams, and technology partners.
Work directly with client stakeholders to understand requirements, validate assumptions, and explain solution options clearly.
Translate business priorities into technical scope, milestones, delivery plans, and implementation risks.
Facilitate technical workshops, architecture discussions, demonstrations, and solution walkthroughs with business and IT stakeholders.
Lead, coach, and develop Consultants and Senior Consultants across software engineering, integration, data, AI, and platform delivery.
Set technical priorities, assign responsibilities, review progress, and support escalation of delivery issues.
Develop reusable methods, accelerators, templates, playbooks, and knowledge assets for Agentic AI delivery.
Contribute to Deloitte’s Agentic AI offering, internal capability building, proposals, demonstrations, estimates, and solution narratives.

Desired Qualifications

Consulting experience in a Big Four, technology consulting, specialist consulting, or enterprise transformation environment.
Experience shaping or leading AI, automation, data, integration, or enterprise platform solutions from design through implementation.
Experience with modern data and integration technologies 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 Docker, Kubernetes, and CI/CD pipelines.
Experience with Infrastructure as Code, especially Terraform.
TypeScript development experience for integrations, tooling, or frontend/backend components.

Who we are looking for

Do you want to lead the technical delivery of next-generation AI agent solutions for global organizations?

Join Deloitte’s growing Agentic AI practice and help turn ambitious AI concepts into secure, scalable and production-ready enterprise solutions.

We are looking for an experienced technical leader who combines hands-on engineering judgement with the ability to guide delivery teams and advise senior business and technology stakeholders.

You will be successful in this role if you have:

A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or a related technical field.
7+ years of hands-on experience in software engineering, systems integration, data engineering, AI/ML implementation, automation or enterprise technology delivery.
Experience leading technical workstreams, solution components or delivery teams in client-facing projects.
Strong understanding of generative AI, large language models, agentic AI, AI orchestration, retrieval-augmented generation, vector databases, prompt design, guardrails and evaluation methods.
Strong Python skills and practical experience delivering backend and API-based solutions.
Experience with REST and/or GraphQL APIs, system integrations, data flows and enterprise application landscapes.
Experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services or Google Cloud Platform.
Experience with structured and unstructured data, document ingestion, embedding pipelines, vector stores and modern data platforms.
Ability to review and challenge solution architectures, technical designs, integration patterns and non-functional requirements.
Understanding of Git, code review, testing, CI/CD, DevOps or MLOps practices and production-readiness considerations.
Ability to translate business requirements into technical scope, implementation plans, estimates, risks and delivery milestones.
Clear communication, stakeholder management, problem-solving and coaching skills.
Ability to guide teams while remaining close enough to implementation details to ensure technical quality.
EU Work Permit

Nice to have:

Consulting experience in a Big Four, technology consulting, specialist consulting or enterprise transformation environment.
Experience shaping or leading AI, automation, data, integration or enterprise platform solutions from design through implementation.
Experience with modern data and integration technologies 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 Docker, Kubernetes and CI/CD pipelines.
Experience with Infrastructure as Code, especially Terraform.
TypeScript development experience for integrations, tooling or frontend/backend components.

Your future role

As an Agentic AI Technical Lead, you will own the technical direction and delivery of AI agent solutions across architecture, implementation, integrations, data, engineering quality and production readiness.

You will act as a trusted technical advisor to clients while leading teams and workstreams through complex delivery challenges.

In this role, you will:

Lead technical workstreams and solution components across local and international client engagements.
Own implementation approaches for AI workflows, tool calling, routing, orchestration, backend services, APIs, data layers and enterprise integrations.
Shape AI agent solution designs together with architects, product owners, technical leads and client stakeholders.
Make and document key design decisions across workflows, integrations, orchestration platforms, cloud services, data flows and enterprise connectivity.
Oversee the implementation of retrieval-augmented generation, prompt orchestration, guardrails, evaluation, monitoring and logging patterns.
Guide teams through architecture, performance, scalability, observability, security, privacy, reliability and production-readiness decisions.
Review implementation plans, code quality, documentation, integration design, testing approaches and deployment readiness.
Balance business value, technical feasibility, maintainability, scalability, risk and delivery effort.
Identify and resolve technical risks, blockers, dependencies and quality issues before they affect delivery outcomes.
Coordinate technical dependencies across Deloitte teams, client IT, platform teams and technology partners.
Work directly with client stakeholders to understand requirements, validate assumptions and explain solution options clearly.
Translate business priorities into technical scope, milestones, delivery plans and implementation risks.
Facilitate technical workshops, architecture discussions, demonstrations and solution walkthroughs with business and IT stakeholders.
Lead, coach and develop Consultants and Senior Consultants across software engineering, integration, data, AI and platform delivery.
Set technical priorities, assign responsibilities, review progress and support the escalation of delivery issues.
Develop reusable methods, accelerators, templates, playbooks and knowledge assets for Agentic AI delivery.
Contribute to Deloitte’s Agentic AI offering, internal capability building, proposals, demonstrations, estimates and solution narratives.

What we offer

The opportunity to lead the technical delivery of high-impact Agentic AI solutions for global organizations.
Hands-on involvement in shaping production-grade AI systems with measurable business impact.
Ownership of complex technical decisions across architecture, engineering, integration, data and production readiness.
A career path toward AI architecture, technical leadership, solution ownership or AI strategy roles.
Collaboration with experienced colleagues across Deloitte’s global network and strategic AI technology partners.
Cross-border exposure through local and international client engagements.
The opportunity to guide technical teams and contribute to reusable methods, accelerators and market offerings.

Selection process

Our recruitment process usually includes:

An initial conversation with the recruiter.
A business interview focused on your experience, motivation and fit for the role.
A technical and solution-oriented discussion with the hiring team.
A final conversation, if needed, focused on expectations, the cooperation model and next steps.

Please upload your CV in English. We aim to provide feedback during or after the recruitment process.

About Deloitte

In Deloitte we support leading global organizations in optimizing and transforming their organizations. This also relates to their finance function. Our consultants offer insights, capabilities, and solutions that change the way these organizations operate and make people-related decisions.

We are currently building in Poland a dedicated team which will focus on advisory in the area of Finance & Performance. The Team will advise our Clients in complex issues relating to i.a. Reporting, Budgeting, Controlling processes. We are looking for high-energy, committed and ambitious people to join our advisory practice. Next to advising on most sophisticated and challenging issues relating to the above mentioned areas, our Consulting professionals will also advise on potential solutions leading to optimisation of the above mentioned processes. This will also include applying the newest technologies.

Are you ready to join our team and help our clients imagine, deliver, and run their future?

#LI-AN2

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

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