AI/ML Architect - Forward Deployed Engineer · Reinvention Centers

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TX · Columbus, OH · FL · Atlanta, GA · Houston, TX
Salary
$73,800–$220,400 / yr
Posted
10 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $147k
$52k most similar roles pay here $279k

This role pays less than 90% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $147k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI/ML Architect - Forward Deployed Engineer · Reinvention Centers

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As an AI/ML Architect at Accenture, you will join a dynamic team focused on developing and operationalizing advanced AI solutions in regulated enterprise environments. Your role involves designing custom AI agent frameworks across major cloud providers like Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, and Anthropic Claude Agent SDK. You will work closely with clients to define use cases, prototype agentic workflows, and deploy production-ready agents that integrate seamlessly with enterprise systems via CI/CD pipelines on platforms such as Azure, AWS, or GCP. Key responsibilities include building LLM and agentic systems using technologies like PyTorch, TensorFlow, MLflow, and implementing RAG patterns with vector databases to ensure high retrieval quality. You will also apply Responsible AI practices to mitigate risks in regulated industries. The ideal candidate has extensive experience in Python, Java, and designing large-scale AI/ML solutions on public clouds, along with hands-on expertise in agentic orchestration tools and MLOps practices.

Skills

Python Java Amazon Bedrock AgentCore Azure AI Foundry Google Vertex AI Agent Builder Anthropic Claude Agent SDK FAISS Pinecone Chroma Milvus PyTorch TensorFlow MLflow SageMaker Azure ML Kubeflow CI/CD OpenAI LangGraph CrewAI AutoGen MLOps LLMOps AWS GCP Azure

What you'll do

  • Design AI agents with retrieval, orchestration, and evaluation capabilities.
  • Build LLM systems using function-calling and prompt engineering techniques.
  • Implement RAG patterns with vector databases to enhance data retrieval.
  • Train and deploy ML models on major cloud platforms like AWS and Azure.
  • Stand up custom agent frameworks across multiple cloud providers.
  • Integrate AI agents with enterprise APIs and workflow systems securely.

What we're looking for

  • 4+ years of experience in Python or Java.
  • 3+ years designing and implementing scaled Agentic AI solutions in operations.
  • 3+ years designing and implementing Agentic AI platforms used by multiple solutions.
  • 2+ years hands-on experience with major public cloud AI services and frameworks.
  • 2+ years experience with key AI technologies from public clouds, open source, and third-party tools.
  • 2+ years of hands-on experience with AI platforms like OpenAI, Claude, Vertex AI.

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