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.
Here's What You Need:- 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)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/05/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $73,800 to $220,400
Cleveland $68,300 to $176,300
Colorado $73,800 to $190,400
District of Columbia $78,500 to $202,700
Illinois $68,300 to $190,400
Maryland $73,800 to $190,400
Massachusetts $73,800 to $202,700
Minnesota $73,800 to $190,400
New York $68,300 to $220,400
New Jersey $78,500 to $220,400
Washington $80,200 to $202,700
