AI Large Language Model (LLM) Technology Architect (All Genders)

Accenture PLC; Wien; Vor Ort; EUR 46.000 - 62.000; Vollzeit

Benefits dieser Stelle

Flexible working models

Professional development opportunities

Modern work environment

Zusammenfassung

Accenture PLC is seeking an AI Large Language Model (LLM) Technology Architect to lead hands-on design and delivery of enterprise-grade AI systems. You will architect agent-based solutions, integrate foundation models, and ensure security and governance across client engagements.

The role blends architecture craft with practical development, enabling you to contribute to ADRs, data flows, and integration specs while partnering with data engineers and application developers.

Qualifikationen

• Proven experience in designing & deploying enterprise-grade AI solutions using agentic, generative and classical AI/ML across at least one cloud vendor.
• Experience in Agentic, LLM and Generative AI spaces.
• Proficient in Python coding.
• Strong foundations in architecting and operationalizing LLM-driven application architectures.
• Professional experience in coding, ML/DL and NLP solutions.
• Extensive hands-on ML architect experience with big data and large-scale analytical engineering.

Aufgaben

• Independently design, build, and deliver AI software components end-to-end.
• Architect AI agent patterns including prompts, tools, skills, multi-agent orchestration, and memory systems.
• Prototype agent orchestration, state management, and error recovery with validated demos.
• Evaluate design options balancing capability, cost, performance, and reliability.
• Design evaluation strategies for agent/system quality metrics like accuracy and faithfulness.
• Integrate foundation models (fine-tuning, RAG, custom integration) based on trade-offs.
• Build the AI context layer with data ingestion, chunking, enrichment, and retrieval grounding.
• Implement embedding/vector storage and retrieval into end-to-end RAG pipelines.
• Develop memory components for grounding prompts and conversation state.
• Create reusable components and patterns for faster delivery across engagements.
• Optimize cost, latency, throughput, and resource utilization for enterprise needs.
• Ensure security, guardrails, PII handling, and Responsible AI practices.
• Establish governance including versioning, audit logs, and lineage.
• Incorporate observability: logging, tracing, monitoring, alerting, cost tracking.
• Produce architecture artifacts (ADRs, blueprints, diagrams) to guide teams.
• Continuously learn new patterns and technologies across AI landscape.
• Collaborate with data engineers, ML engineers, and developers to meet stakeholder needs.

Kenntnisse

Agentic AI

Generative AI

Classical AI/ML

Python

LLM architecture

ML/NLP experience

Big data architecture

Ausbildung

Bachelor's Degree or equivalent

Tools

Cloud platforms

Jobbeschreibung

AI Large Language Model (LLM) Technology Architect

Career Level: Associate Manager / Specialist

YOU ARE

As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will spendthe majority ofyour time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will translate requirements into concrete architecture decisions: selecting design patterns,evaluatingand benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures — including multi-agent orchestration, tool use, skills use, and memory systems — and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration.A partof your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design andvalidatesystems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs),componentdiagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.

You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.

THE WORK

• Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands-on practitioner

• Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices

• Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery,validatingthem through hands-on prototyping

• Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability

• Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements

• Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs

• Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization

• Design and build the AI context layer — including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge

• Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources

• Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded,accurateoutputs

• Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements

• Design for cost efficiency and performance —optimizingmodel usage, inference patterns, caching, and resourceutilizationto meet target latency, throughput, and cost objectives

• Design, build, andvalidatesystems against enterprise non-functional requirements — implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI

• Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable

• Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutionsremainhealthy, performant, and scalable in production

• Produce detailed architecture artifacts — including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications,componentand data flow diagrams — that guide and enable broader engineering teams

• Continuously learn, evaluate, and applynew designpatterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability

• Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs

EDUCATION

• Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic,generativeand classical AI/ML using at least one cloud vendor.

• Practical experience in the Agentic,LLMand Generative AI space.

• Well versed in coding using python

• Solid foundation in architecting and operationalizing LLM driven application architecture patterns.

• Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications.

• Several years of hands on experience as a machine learning architect in the industry designing bigdata,machine learning. large scale analytical engineering solutions.

What We Offer

• Work on cutting-edge AI, Generative AI, and Agentic AI programmes for leading global organisations.
• Access to continuous learning, certifications, and dedicated development opportunities across cloud, AI, and architecture disciplines.
• Flexible working models and a modern work environment that supports your personal and professional growth.

The Accenture Culture: Here, YOU are the catalyst for change

Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision.

Contact Us

Any questions? Feel free to contact our recruiting team at [e-mail]. In addition to exciting projects, we offer an attractive compensation package, flexible working hours, a modern environment, and many additional benefits. You also have the opportunity to positively influence your annual income based on your individual performance. The annual gross salary for this position starts, depending on qualifications and experience, at €53,600