Deloitte

Agentic AI Technical Senior Consultant | Poland

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SeniorHybryda·WarszawaFull-time

#386692·Dodano 3 miesiące temu·12

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIDegreeData engineeringPython MicroservicesCloud platformAzure AWS GCPdbtAirflowAWS GlueSpark Databricks KafkaFlinkSnowflake BigQuery RedshiftAzure SynapseSalesforce SAP Docker KubernetesCD pipelineInfrastructure as CodeTerraform TypeScriptDefining business requirements

Firma i stanowisko

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.

Wymagania

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

Obowiązki

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

Benefity

Opportunity to work on international AI engagements with real business impact
Exposure to enterprise-grade AI solutions, modern technology stacks, and complex client environments
A role with strong technical ownership and the opportunity to lead solution components or workstreams
Collaboration with experienced colleagues across consulting, technology, architecture, data, and AI
Opportunity to grow toward AI architecture, technical leadership, product ownership, or AI strategy roles
A learning-oriented environment where you can develop both advanced technical and consulting skills

Deloitte

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