AI/ML Architect & Agentic Systems Lead (Hybrid)

Accenture PLC; Columbus (OH); Hybrid; USD 68,000 - 220,000; Full time

Job summary

Accenture PLC is seeking an AI/ML Architect to design, build, and operate AI agents, data pipelines, and ML solutions for regulated enterprises. You will embed with clients to stand up cross-cloud agent frameworks, prototype workflows, and ship production-ready agents with governance and observability.

The role requires deep expertise in Python/Java, LLMs, and agent orchestration across cloud providers; travel and regulatory experience are common in this hybrid environment.

Qualifications

• Minimum 4 years of experience in Python, Java, or equivalent.
• Minimum 3 years experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
• Minimum 3 years experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
• Minimum 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.
• Minimum 2 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum 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.

Responsibilities

• 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 for 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.

Skills

Python

Java

Agentic AI

LLM

Cloud platforms

PyTorch

TensorFlow

MLOps/LLMOps

OpenAI

Claude

Vertex AI

LangGraph

CrewAI

AutoGen

CI/CD

Observability

Education

Bachelor's degree or equivalent

Tools

Amazon Bedrock AgentCore

Azure AI Foundry

Google Vertex AI Agent Builder

Anthropic Claude Agent SDK

FAISS

Pinecone

Chroma

Milvus

Job description

Accenture PLC is seeking an AI/ML Architect to design, build, and operate AI agents, data pipelines, and ML solutions for regulated enterprises. You will embed with clients to stand up cross-cloud agent frameworks, prototype workflows, and ship production-ready agents with governance and observability.

The role requires deep expertise in Python/Java, LLMs, and agent orchestration across cloud providers; travel and regulatory experience are common in this hybrid environment.