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Accenture

Advises businesses and runs their technology

AI Solutions Architect

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeColumbia, MD, USA$139.3k - $269kIn-person

About the Job

Requirements

  • Eight years of experience in software engineering or data science, including three years in leadership roles.
  • Three years of hands-on experience with large language models and/or generative AI applications.
  • Experience deploying production AI/machine learning systems at scale.
  • Experience managing cross-functional technical teams.
  • Proficiency with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex.
  • Experience with vector databases such as Pinecone, Weaviate, and ChromaDB, embeddings, and/or semantic search.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and containerization tools such as Docker or Kubernetes.
  • Familiarity with continuous integration/continuous delivery, infrastructure as code, and/or machine learning operations tools such as MLflow and Weights & Biases.
  • An active Top Secret/Sensitive Compartmented Information clearance with polygraph.
  • Must have a bachelor's degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Lead and mentor a team of three machine learning engineers and full-stack developers.
  • Define technical roadmaps for large language model application development aligned with business objectives.
  • Facilitate sprint planning, code reviews, and architecture design sessions.
  • Manage resource allocation, project timelines, and stakeholder communications.
  • Architect full-stack large language model solutions including frontend interfaces, application programming interface layers, vector databases, and model orchestration.
  • Oversee engineering strategies, retrieval-augmented generation implementations, and fine-tuning initiatives.
  • Design scalable microservices architectures integrating large language model application programming interfaces such as OpenAI, Anthropic, AWS Bedrock, and Azure OpenAI.
  • Implement machine learning operations pipelines for model versioning, A/B testing, monitoring, and continuous deployment.
  • Optimize inference performance, cost management, and latency reduction strategies.
  • Build production applications using Python, TypeScript/JavaScript, and frameworks such as React, Next.js, and FastAPI.
  • Develop evaluation frameworks for model performance, safety, and alignment.
  • Implement guardrails, content filtering, and responsible artificial intelligence practices.
  • Prototype emerging capabilities including function calling, agents, and multimodal applications.
  • Partner with product managers, external stakeholders, and security teams on requirements and compliance.
  • Present technical proposals and demonstrations to executive leadership.
  • Establish coding standards, documentation practices, and knowledge-sharing initiatives.
  • Manage vendor relationships and evaluate emerging large language model technologies.

Desired Qualifications

  • A master's degree or PhD in Computer Science, artificial intelligence/machine learning, or a related discipline is strongly preferred.
  • Relevant certifications in prompt engineering, large language model development, or AI ethics.
  • Deep knowledge of large language model architectures, transformer models, and prompt engineering techniques.
  • Ability to translate business needs into technical solutions.
  • Experience with Agile/Scrum methodologies and project management.
  • Understanding of data privacy, security, and AI governance frameworks.

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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