We are:
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.
Stronger together!
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.
The value for our clients and our people:
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.
The Work:
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:
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.
This is a hybrid role in Dallas, TX and requires 3 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.