accenture
accenture~1h ago
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AI/ML Architect-Accenture Advanced Technology Centers

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Quick Summary

Requirements Summary

Bachelor’s degree or completion of a college program in a related discipline 2 years’ experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.

Technical Tools
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The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

An AI/ML Architect with strong engineering skills and expertise in LLM and agentic architecture. You design, build, and operationalize AI agents, data pipelines, and ML solutions that run reliably in regulated enterprise environments.

You embed with clients to stand up custom AI agent frameworks across cloud providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder) and the Anthropic Claude Agent SDK. You partner with stakeholders to define use cases, prototype agentic workflows, and ship production-ready agents that operate reliably.

Responsibilities

~1 min read

• Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.

• Build LLM and agentic systems with function-calling, prompt engineering, and agent orchestration in production.

• Implement RAG patterns with vector databases (FAISS, Pinecone, Chroma, Milvus) and tune embeddings for retrieval quality.

• Train and deploy ML models with PyTorch, TensorFlow, MLflow, SageMaker, Azure ML, or Kubeflow.

• Stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK); design the supporting architecture fo production.

• Integrate AI agents with enterprise APIs, microservices, and workflow systems; ship via CI/CD on Azure, AWS, or GCP.

• Apply Responsible AI controls (fairness, bias detection, safety filters) in regulated industries.

• Run MLOps / LLMOps pipelines for model training, deployment, monitoring, and lifecycle.

Requirements

~2 min read
  • Bachelor’s degree or completion of a college program in a related discipline

  • 2 years’ experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.

  • 2 years’ experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.

  • 2 years’ experience in 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 3rd party tools.

  • 2 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.

  • 5 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

  • 2 years of hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, open source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle.

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Location & Eligibility

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Listing Details

First seen
September 27, 2026
Last seen
September 27, 2026

Posting Health

Days active
0
Repost count
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Trust Level
55%
Scored at
September 27, 2026

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accentureAI/ML Architect-Accenture Advanced Technology Centers