ACL Digital · 1 day ago
Data Scientist
Columbus, OH
Contract
Onsite
Mid, Senior LevelACL Digital is seeking a highly skilled and forward-thinking Data Engineer to drive the integration of Large Language Models (LLMs) and Generative AI systems into their data ecosystem. The role focuses on designing and operationalizing intelligent data pipelines and interfaces that enable seamless interaction between curated enterprise data and advanced AI models.
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No H1B
U.S. Citizen OnlyHiring Manager
Chiranjeevi Mittkella
Responsibilities
Design, build, and optimize data pipelines that serve as the backbone for LLM-powered systems and AI applications
Integrate Generative AI and LLM technologies (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models like LLaMA or Mistral) with curated enterprise data
Develop and maintain retrieval-augmented generation (RAG) pipelines to connect structured and unstructured data to model contexts
Collaborate with data scientists, ML engineers, and AI researchers to ensure alignment between data readiness and model performance
Implement agentic system architectures, including orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)
Enforce AI security, compliance, and data governance best practices to ensure responsible use of enterprise data in AI applications
Automate LLM evaluation, model fine-tuning, and deployment workflows where applicable
Monitor and troubleshoot AI data pipelines, ensuring high availability, scalability, and accuracy of responses
Document design patterns, integration strategies, and operational playbooks for AI-driven data engineering
Qualification
Required
Proven experience as a Data Engineer or ML Engineer with hands-on expertise in LLM or Generative AI system integrations
Strong proficiency in Python, SQL, and distributed data frameworks (e.g., Spark, DataBricks)
Practical understanding of RAG architectures, vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS), and embedding pipelines
Familiarity with LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks
Experience implementing secure and compliant AI pipelines, with understanding of AI security, prompt injection defenses, and data privacy
Solid understanding of cloud-based AI infrastructure—preferably Azure AI Services, Azure DataBricks, and Azure OpenAI Service
Excellent problem-solving skills and ability to work across data, infrastructure, and AI teams
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Preferred
Experience fine-tuning or customizing LLMs for enterprise use cases
Familiarity with MLflow, MLOps, and CI/CD for model deployment
Knowledge of medallion data architecture and Delta Lake for AI-ready data management
Experience with streaming data systems (e.g., Kafka, Event Hubs) for real-time AI applications
Contributions to open-source AI frameworks or enterprise AI integrations
Company
ACL Digital
ACL Digital is a design-led digital engineering and transformation firm.
Founded in 1992
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Srikanth Raghavan
Associate Vice President
Recent News
2025-11-28
Precedence Research
2025-11-28
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