Deloitte

Agentic AI Technical Specialist Lead | Poland

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SeniorHybryda·WarszawaFull-time

#396235·Dodano 3 miesiące temu·4

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIDegreeData engineeringPython REST API GraphQLCloudMicrosoft Azure Google Cloud Platform GitTestingCDDevOpsMLOpsdbtAirflowAWS GlueSpark Databricks KafkaFlinkSnowflake BigQuery RedshiftAzure SynapseSalesforce SAP Docker KubernetesCD pipelineInfrastructure as CodeTerraform TypeScript

Firma i stanowisko

Deloitte is hiring for its growing Agentic AI practice to deliver next-generation AI agent solutions for global organizations.

Wymagania

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.

Nice to have:

Consulting experience in Big Four, technology consulting, specialist consulting, or enterprise transformation environments.
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.

Obowiązki

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 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.

Benefity

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.
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.
Opportunity to guide technical teams and contribute to reusable methods, accelerators, and market offerings.

Inne informacje

EU Work Permit required.

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