Agentic AI Technical Specialist Lead | Poland
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SeniorFull-time
#396235·Dodano wczoraj·1
Źródło: nofluffjobs.comTech Stack / Keywords
AIDegreeData engineeringPythonREST APIGraphQLCloudMicrosoft AzureGoogle Cloud PlatformGitTestingCDDevOpsMLOpsdbtAirflowAWS GlueSparkDatabricksKafkaFlinkSnowflakeBigQueryRedshiftAzure SynapseSalesforceSAPDockerKubernetesCD pipelineInfrastructure as CodeTerraformTypeScript
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.
Deloitte
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