Key Responsibilities:
- Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
- Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
- Train, evaluate, and deploy ML models, including feature engineering from raw data and ongoing LLM evaluation for accuracy and reliability
- Build and expose REST APIs and microservices (e.g., FastAPI) that integrate AI capabilities into web and mobile applications
- Create KPI dashboards and automated reporting, and investigate production data issues to improve data quality and accuracy
- Apply CI/CD and automated testing to deliver reliable releases in a regulated environment
- Document pipeline architecture and experiments for reproducibility and knowledge transfer
This is a hybrid role with required 3 days a week on-site in Addison, TX. Role requires contractor time away (CTA), 5 days per quarter, as mandated by the client.
Basic Qualifications:
- A minimum of 3 years of professional experience in software, data, or AI engineering
- A minimum of 3 years of hands-on experience with Python and SQL for data processing and pipeline development
- A minimum of 1 year of experience building GenAI/LLM solutions (OpenAI APIs, RAG, embeddings, prompt engineering)
- A minimum of 1 year of experience with AWS (e.g., Lambda, SageMaker) and containerization (Docker)
- Bachelor's Degree
Preferred Qualifications:
- Experience with ML model training and deployment (PyTorch or similar) and feature engineering
- Experience building REST APIs and microservices (FastAPI, Spring Boot, or similar)
- Experience with CI/CD and automated testing
- Experience with Snowflake, Kubernetes, LangChain, or LlamaIndex
- Experience in financial services or another regulated environment
- Experience with BI tools (Power BI, Tableau) and data governance
- Experience with on-device or quantized model inference
- Full-stack exposure (React, Angular, Java/.NET)
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 12/12/2026.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
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Maryland $44 to $47
Massachusetts $44 to $47
Minnesota $44 to $47
New York $44 to $47
New Jersey $44 to $47
Ohio $44 to $47
Virginia $44 to $47
Washington $44 to $47
