Lead Data Intelligence Engineer - Generative AI
Please find details for this position below:
Client: Banking/Financial Industry
Title: 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:
• 8+ years of Database Intelligence Engineering who has bridges data engineering with Generative AI to drive operational excellence.
Key Responsibilities:
Data Engineering & Intelligence (50%):
• Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources.
• Integrate data from various Enterprise SORs and workflow tools to create process-level visibility.
• Build and maintain data models, warehouses, and lakes for analysis and reporting.
• Collaborate with analysts and business teams to develop dashboards and real-time metrics.
• Use SQL, Python, Vertica SQL to ensure data quality and lineage.
Gen AI & Advanced Analytics (50%):
• Customize GenAI applications (using approved LLMs) for process mining, task mining summarization, anomaly detection.
• Integrate organization-approved foundation models (like Llama, Google Gemini etc.) into Agentic task-based workflows.
• Partner with Process Excellence and Ops teams to ideate
Required Qualifications:
• 5+ years in Data Engineering, Analytics, or AI-focused roles.
• Experience with process mining tools (Celonis, UiPath Process Mining, etc.)
• Proven experience with cloud-based data pipelines, preferably GCP (BigQuery, Dataflow) or equivalent.
• Solid understanding of SQL, Python, and data transformation tools .
• Exposure to or hands-on work with Generative AI, LLMs (like Llama, Google Gemini, OpenAI etc.) , or vector databases (e.g., Pinecone, FAISS).
• Experience working on cross-functional process improvement initiatives using data.
• Strong business acumen and ability to translate data into decisions.
Nice to Have:
• Knowledge of RAG architectures and enterprise chatbots.
• Familiarity with Agentic AI solutions or frameworks.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Please find details for this position below:
Client: Banking/Financial Industry
Title: 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:
• 8+ years of Database Intelligence Engineering who has bridges data engineering with Generative AI to drive operational excellence.
Key Responsibilities:
Data Engineering & Intelligence (50%):
• Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources.
• Integrate data from various Enterprise SORs and workflow tools to create process-level visibility.
• Build and maintain data models, warehouses, and lakes for analysis and reporting.
• Collaborate with analysts and business teams to develop dashboards and real-time metrics.
• Use SQL, Python, Vertica SQL to ensure data quality and lineage.
Gen AI & Advanced Analytics (50%):
• Customize GenAI applications (using approved LLMs) for process mining, task mining summarization, anomaly detection.
• Integrate organization-approved foundation models (like Llama, Google Gemini etc.) into Agentic task-based workflows.
• Partner with Process Excellence and Ops teams to ideate
Required Qualifications:
• 5+ years in Data Engineering, Analytics, or AI-focused roles.
• Experience with process mining tools (Celonis, UiPath Process Mining, etc.)
• Proven experience with cloud-based data pipelines, preferably GCP (BigQuery, Dataflow) or equivalent.
• Solid understanding of SQL, Python, and data transformation tools .
• Exposure to or hands-on work with Generative AI, LLMs (like Llama, Google Gemini, OpenAI etc.) , or vector databases (e.g., Pinecone, FAISS).
• Experience working on cross-functional process improvement initiatives using data.
• Strong business acumen and ability to translate data into decisions.
Nice to Have:
• Knowledge of RAG architectures and enterprise chatbots.
• Familiarity with Agentic AI solutions or frameworks.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
