AI/ML Architect - Forward Deployed Engineer · Reinvention Centers
Listed on 2026-06-06
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Overview
Accenture seeks an AI/ML Architect with strong engineering skills and expertise in large language models (LLM) and agentic architectures. The role involves designing, building, and operationalizing AI agents, data pipelines, and ML solutions that run reliably in regulated enterprise environments.
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, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.
- Stand up custom agent frameworks across providers (Amazon Bedrock Agent Core, 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.
- 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 operation.
- 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 third‑party tools.
- Minimum 2 years of experience with key AI technologies from public cloud providers, open source, and third‑party tooling.
- Minimum 2 years of hands‑on experience with AI platforms (OpenAI, Claude, Vertex AI, open‑source), agentic orchestration tools (Lang Graph, CrewAI, Auto Gen), 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.
This is a hybrid role in Dallas, TX requiring three days per week in the office. Qualified applicants may also be considered in Columbus, OH;
Tampa, FL;
Atlanta, GA;
Houston, TX. Travel may be required, ranging from 25% to 75% depending on business need and client requirements.
Accenture offers a market‑competitive suite of benefits including medical, dental, vision, life, long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
Equal Employment Opportunity StatementAccenture is an Equal Opportunity Employer that embraces diversity and is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. All employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis protected by federal, state, or local law.
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