AI Engineer, Generative & Agentic Systems

Accenture; Wien; Hybrid; EUR 41.000 - 55.000; Vollzeit

Benefits dieser Stelle

Flexible working models

Cutting-edge AI projects

Continuous learning and certifications

International collaboration

Career development toward senior roles

Zusammenfassung

Accenture is seeking a hands-on AI Engineer to design, build, and deploy AI system components across ML, generative AI, and agentic architectures. You will craft agents, prompts, tools, and memory, and integrate them into enterprise-scale pipelines with a focus on security, observability, and governance.

Role emphasizes engineering rigor, testability, and collaboration with data engineers, ML engineers, and application developers.

Qualifikationen

• Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
• Experience (work or coursework) in the Agentic, LLM and Generative AI space.
• Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns.
• Proficiency with coding and engineering, machine learning, deep learning and NLP solutions and applications.
• Coding experience using python.

Aufgaben

• Design, build, and configure individual agents and integrate them into multi-agent workflows.
• Implement agent orchestration logic that handles task handoffs, communication, and error recovery.
• Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness.
• Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case.
• Build and run model fine-tuning pipelines to adapt models to specific business domains.
• Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval.
• Implement embedding generation, integrate vector databases, and develop retrieval components for RAG pipelines.
• Build the logic that assembles prompts and manages information in the model context window.
• Implement memory components that store and recall conversational history and other context.
• Implement input/output guardrails, content filtering, and defenses against prompt injection.
• Build PII detection and redaction components and access controls for model and tool access.
• Implement versioning, audit logging, and lineage tracking, and maintain model documentation for auditable systems.
• Instrument components with logging and tracing for requests, responses, and tool calls.
• Contribute to monitoring, alerting, and cost tracking for AI systems in production.
• Learn and apply new patterns and technologies, bringing fresh approaches to the components.
• Collaborate within cross-functional teams to clarify requirements and ensure alignment.
• Create and maintain clear technical documentation for the components you build.

Kenntnisse

Python

AI/ML engineering

Agentic AI

LLM integration

Cloud experience

Ausbildung

Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, or related

Jobbeschreibung

Accenture is seeking a hands-on AI Engineer to design, build, and deploy AI system components across ML, generative AI, and agentic architectures. You will craft agents, prompts, tools, and memory, and integrate them into enterprise-scale pipelines with a focus on security, observability, and governance.

Role emphasizes engineering rigor, testability, and collaboration with data engineers, ML engineers, and application developers.