AI ML Engineer 6564206

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 Role Location Hourly Salary Range California $40 to $47 Colorado $40 to $47 Connecticut $44 to $47 District of Columbia $44 to $47 Illinois $44 to $47 Maine $44 to $47 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 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. 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