Hybrid AI Architect & Forward-Deployed Engineer Lead

Accenture PLC; Washington (District of Columbia); Hybrid; USD 79,000 - 203,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Disability insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI/ML Architect to design, build, and operate AI agents and agentic ML solutions for enterprise environments. You will work across cloud providers to deploy production-ready agents, focusing on retrieval, orchestration, RAG patterns, and responsible AI controls.

You will embed with clients to stand up custom AI agent frameworks, integrate with enterprise APIs, and ensure reliable operation through CI/CD pipelines.

Qualifications

• Minimum 4 years of experience in Python, Java, or equivalent; comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum 3 years designing and implementing scaled Agentic AI and Generative AI solutions in operations.
• Minimum 3 years designing and implementing Agentic AI platforms and frameworks used by multiple AI solutions.
• Minimum 2 years 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.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

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 design

LLM architectures

Evaluation tooling

Cloud platforms

MLOps

Education

Bachelor's degree

Tools

OpenAI

Claude

Vertex AI

LangGraph

CrewAI

AutoGen

Job description

Accenture is seeking an AI/ML Architect to design, build, and operate AI agents and agentic ML solutions for enterprise environments. You will work across cloud providers to deploy production-ready agents, focusing on retrieval, orchestration, RAG patterns, and responsible AI controls.

You will embed with clients to stand up custom AI agent frameworks, integrate with enterprise APIs, and ensure reliable operation through CI/CD pipelines.