Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel
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 (https://www.accenture.com/us-en/careers/local/flexcareers#block-section-total-rewards)
Role Location Hourly Salary RangeCalifornia $40 to $47Colorado $40 to $47Connecticut $44 to $47District of Columbia $44 to $47Illinois $44 to $47Maine $44 to $47Maryland $44 to $47Massachusetts $44 to $47Minnesota $44 to $47New York $44 to $47New Jersey $44 to $47Ohio $44 to $47Virginia $44 to $47Washington $44 to $47
Requesting an Accommodation
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