

Mindlance
Lead AI Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
-
ποΈ - Date
October 7, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - 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:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.