Mindlance

Lead AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead AI Engineer in the Banking/Financial industry, offering an 18+ month hybrid contract in Charlotte, NC, with a pay rate of "unknown." Requires 8+ years in Database Intelligence Engineering, data pipelines, SQL, Python, and Generative AI experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
680
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πŸ—“οΈ - Date
October 7, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Data Pipeline #Data Quality #Data Engineering #Cloud #SQL (Structured Query Language) #Scala #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Anomaly Detection #Python #AI (Artificial Intelligence) #Databases #BigQuery #Dataflow
Role description
Please find details for this position below: Client: Banking/Financial Industry Title: Lead AI Engineer / Senior Lead AI Engineer / Lead Generative AI Engineer / Data Intelligence Engineer / Lead Data Intelligence Engineer - Generative AI Location: Charlotte, NC - Hybrid Roles Duration: 18+ Month (s) Extend or Convert based on performances Required Qualifications: β€’ 8+ years of Database Intelligence Engineering who has bridges data engineering with Generative AI to drive operational excellence. Key Responsibilities: Data Engineering & Intelligence (50%): β€’ Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources. β€’ Integrate data from various Enterprise SORs and workflow tools to create process-level visibility. β€’ Build and maintain data models, warehouses, and lakes for analysis and reporting. β€’ Collaborate with analysts and business teams to develop dashboards and real-time metrics. β€’ Use SQL, Python, Vertica SQL to ensure data quality and lineage. Gen AI & Advanced Analytics (50%): β€’ Customize GenAI applications (using approved LLMs) for process mining, task mining summarization, anomaly detection. β€’ Integrate organization-approved foundation models (like Llama, Google Gemini etc.) into Agentic task-based workflows. β€’ Partner with Process Excellence and Ops teams to ideate Required Qualifications: β€’ 5+ years in Data Engineering, Analytics, or AI-focused roles. β€’ Experience with process mining tools (Celonis, UiPath Process Mining, etc.) β€’ Proven experience with cloud-based data pipelines, preferably GCP (BigQuery, Dataflow) or equivalent. β€’ Solid understanding of SQL, Python, and data transformation tools . β€’ Exposure to or hands-on work with Generative AI, LLMs (like Llama, Google Gemini, OpenAI etc.) , or vector databases (e.g., Pinecone, FAISS). β€’ Experience working on cross-functional process improvement initiatives using data. β€’ Strong business acumen and ability to translate data into decisions. Nice to Have: β€’ Knowledge of RAG architectures and enterprise chatbots. β€’ Familiarity with Agentic AI solutions or frameworks. EEO: β€œMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.