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Accenture

Advises businesses and runs their technology

AI/ML Senior Architect – Forward Deployed Engineer Senior Manager - Reinvention Centers

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 10 years of experience in Python, Java, or an equivalent language, with comfort using evaluation tooling, logging, monitoring, and observability.
  • A minimum of 6 years of experience with key AI technologies from public cloud providers, open source, and third-party tooling.
  • A minimum of 4 years of experience designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and third-party tools.
  • A minimum of 4 years of hands-on experience with AI platforms such as OpenAI, Claude, Vertex AI, or open-source platforms; agentic orchestration tools such as LangGraph, CrewAI, or AutoGen; and MLOps/LLMOps practices across the ML and LLM lifecycle.
  • A minimum of 3 years of experience designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
  • A minimum of 3 years of experience designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
  • A bachelor's degree or equivalent, or at least 12 years of work experience. An associate degree is acceptable with at least 6 years of work experience.

Responsibilities

  • Deliver full-stack AI architecture on public, private, or sovereign clouds, architecting enterprise-grade platforms using AI agents, Generative AI, foundation models, and knowledge and data engineering.
  • Embed with clients as a senior architect to shape their AI agent foundation; design reference architectures and stand up custom agent frameworks across cloud providers and guide engineering teams from use-case definition through production rollout.
  • Architect enterprise-ready AI agent systems covering retrieval, orchestration, governance, evaluation, lifecycle observability.
  • Lead architecture workshops with client and Accenture teams, finalize requirements, and determine total cost of ownership for AI solutions.
  • Evaluate, rationalize, and select technologies for full-stack AI platforms, and build financial-viability models.
  • Design architectural blueprints covering multi-agent systems, AI security, runtime, governance, DevOps, and knowledge and data layers.
  • Design knowledge architecture, including knowledge graphs and semantic layers, to enable AI agents at enterprise scale.
  • Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.
  • Design reusable AI components, agents, and solution patterns for repeatable engagement delivery.
  • Architect and stand up custom agent frameworks across providers, including Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, and the Anthropic Claude Agent SDK; design reference architectures that scale across engagements.
  • Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle.
  • Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.
  • Travel as needed for the role, with travel varying from 25% to 75% depending on business needs and client requirements.

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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