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Accenture

Advises businesses and runs their technology

AI Solution Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaNo salary listedRemote

About the Job

Requirements

  • Strong experience designing and delivering production-grade AI software systems across different domains.
  • Proven expertise designing and/or implementing production generative AI systems, including agentic systems, retrieval-augmented generation pipelines, tool-use patterns, and model adaptation strategies such as fine-tuning open-source large language models or diffusion models.
  • Practical experience with retrieval and knowledge systems, including vector databases such as Pinecone and Chroma, ingestion frameworks such as Kafka and Debezium, and graph databases such as AWS Neptune and Neo4j.
  • Broad knowledge of modern AI technologies, including generative models, deep learning, and predictive machine learning.
  • Knowledge of cloud-based AI platforms, infrastructure concepts, and MLOps practices, including containerization; orchestrated and/or serverless deployment; monitoring; versioning; and governance.
  • Client-facing communication skills and the ability to reason about trade-offs involving performance, cost, risk, and maintainability.
  • At least 6 years of professional software engineering experience, including work on distributed, large-scale systems.
  • At least 3 years of hands-on experience in data science and machine learning projects delivered into production.
  • Affinity for multi-layered AI system design across contexts and use cases, such as end-to-end AI systems, agentic platforms, and workflow engines.
  • Experience using cloud-based AI platforms such as Azure Machine Learning or AWS SageMaker, or equivalent.
  • Working knowledge of MLOps methodologies, including continuous integration and continuous delivery, monitoring, and governance.
  • Progression from hands-on implementation to system-level architectural responsibility.

Responsibilities

  • Define end-to-end scalable, resilient, and efficient architectures for advanced AI systems, including data pipelines, model training and serving, retrieval systems, monitoring, and governance, in multi-stakeholder environments while balancing client needs, technical constraints, timelines, and costs.
  • Collaborate with delivery teams to translate architectural designs into work items and identify and resolve architectural challenges during project execution.
  • Own or contribute to technical solutioning in business development initiatives, including proposal input, architecture design, and effort estimation.
  • Mentor senior engineers and contribute to raising architectural and engineering maturity across teams.
  • Pilot and evaluate emerging tools and AI technologies.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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