Artificial Intelligence/Machine Learning Data Engineer

Artificial Intelligence/Machine Learning Data Engineer Logic - 3.8 Charlotte, NC Job Details Full-time $44 - $54 an hour 15 hours ago Benefits Disability insurance Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications TensorFlow Databricks Azure Go Software design SQL databases Continuous Delivery (CD) implementation PyTorch 5 years Software deployment Spark AWS Certification Amazon SageMaker Google Cloud Platform Mid-level Prompt engineering Java Automating deployment processes Microservices SQL Docker Model deployment Scala Redis Implementing APIs Developing data pipelines Developing automated testing protocols Scalability Financial services Kafka Machine learning libraries AI Associate's degree Machine learning frameworks Leadership Full Job Description Data Eng, Mgmt & Governance Senior Analyst | Mid-Level | Full time Job No.

R00327789

| Multiple Locations 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:

The AI Agent Data/ML Engineer will design, develop, and operationalize AI agents, large‑scale data pipelines, and machine learning solutions to support enterprise automation and analytics initiatives. This role requires strong engineering skills, expertise in LLM and agentic architectures, and the ability to deploy AI systems securely and reliably within a regulated environment. Strong understanding of LLM integration, function‑calling patterns, prompt engineering, and agent orchestration. Experience deploying ML models using MLflow, Azure ML, SageMaker, Kubeflow, or similar. Proficiency in TensorFlow, PyTorch, Scikit-Learn, or equivalent ML frameworks. Experience building scalable data pipelines using Spark, Databricks, or similar technologies. Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization. Experience with CI/CD pipelines, automated testing, code reviews, and deployment automation. Familiarity with containerization (Docker) and orchestration (Kubernetes). Experience integrating AI agents with enterprise APIs, microservices, and workflow systems. Familiarity with reasoning models, transformer architectures, and enterprise AI use cases.

Knowledge of cloud platforms:

Azure (preferred), AWS, or GCP. Experience with streaming technologies (Kafka, EventHub, Kinesis). Understanding of Responsible AI concepts, model fairness, bias detection, and safety filters. Experience with high‑compliance environments (financial services, healthcare, or government). •This role requires working onsite with the client 3 days per week in Charlotte, NC or Jersey City, NJ•

Basic Qualifications:

Minimum 5 years of work experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering Strong proficiency in Python, SQL, and one additional programming language (Scala/Java/Go). Hands-on experience designing AI agents, toolchains, and agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen, etc.)

Associate's Degree Preferred Qualifications:

Industry certification will be plus (For example Azure/AWS/GCP Data or AI Engineering) 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 06/12/2026. 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 $44 to $54/hr Cleveland $44 to $54/hr Colorado $44 to $54/hr District of Columbia $44 to $54/hr Illinois $44 to $54/hr Maryland $44 to $54/hr Massachusetts $44 to $54/hr Minnesota $44 to $54/hr New York $44 to $54/hr New Jersey $44 to $54/hr Washington $44 to $54/hr Charlotte, NC Morristown, NJ Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. 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