Artificial Intelligence/Machine Learning Data Engineer
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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, * 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)
Benefits & conditions
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 07/27/2026.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 Range
California $44 to $54
Cleveland $44 to $54
Colorado $44 to $54
District of Columbia $44 to $54
Illinois $44 to $54
Maine $44 to $54
Maryland $44 to $54
Massachusetts $44 to $54
Minnesota $44 to $54
New York $44 to $54
New Jersey $44 to $54
Virginia $44 to $54
Washington $44 to $54
Requesting an Accommodation
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
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