AI/ML Architect - Forward Deployed Engineer · Reinvention Centers

Accenture•Columbus, OH

7d•$68,300 - $220,400•Hybrid

About The Position

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. 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. You are an AI/ML Architect with strong engineering skills and expertise in LLM and agentic architectures. 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.

Requirements

Minimum 4 years of experience in Python, Java, or equivalent.
Comfortable with evaluation tooling, logging, monitoring, and observability.
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.
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.