Please find details for this position below: Client: Banking/Financial Industry Title: Lead Generative AI Engineer / Lead Gen/AI Engineer / Lead RPA/Gen AI Engineer / Lead AI/LLM/RAG Engineer Location: Charlotte, NC – Hybrid Roles Duration: 12+ Month (s) Extend or Convert based on performances 5 Openings: Key Responsibilities: • Design and deliver end-to-end automation and AI agent solutions using Microsoft Power Platform (Power Apps, Power Automate, Dataverse), Copilot Studio, and pro-code technologies. • Build agentic AI systems leveraging LLMs, reasoning engines, memory components, and orchestration frameworks such as LangChain, Semantic Kernel, or Azure AI Foundry. • Develop custom AI agents capable of planning, reasoning, and interacting across systems via APIs, tools, and multi-turn conversations. • Create and maintain AI-powered business applications that integrate user input, enterprise data, and intelligent responses to enhance productivity and decision-making. • Integrate with external APIs and services, including Microsoft Graph, RESTful endpoints, and hyperscale AI platforms (Azure, AWS, GCP). • Partner with stakeholders to identify opportunities, gather requirements, and deliver solutions aligned with strategic objectives. • Stay up to date on advancements in generative AI, LLMs, and prompt engineering to drive innovation and recommend modern approaches. • Drive team modernization. Build and transfer knowledge. Create reusable playbooks and processes to embed transformed capabilities across the team. Assist other individuals in advanced software development. Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline. • Minimum of 4 years of experience in AI solution development, including automation, chatbots, or AI agents. • Proficiency with Microsoft Power Platform, including Power Apps, Power Automate, Power BI and Copilot Studio (or Power Virtual Agents). • Practical experience with LLM technologies (e.g., OpenAI, Azure OpenAI Service, or equivalents). • Experience integrating REST APIs and external data sources into applications. • Strong understanding of prompt engineering, NLP, and the capabilities and limitations of LLMs. • Financial services experience specifically big banks. Preferred Qualifications: • Microsoft Certified: Power Platform Developer Associate or equivalent certification. • Experience with hyperscaler AI services like Azure Cognitive Services, AWS Bedrock, or Google Vertex AI. • Familiarity with open-source AI frameworks such as Hugging Face Transformers, LangChain, or FastAPI. • Knowledge of DevOps practices, CI/CD pipelines, and version control in both low-code and pro-code environments. • Exposure to Retrieval-Augmented Generation (RAG) or memory-enabled agent architectures. Job Summary: - 2 Openings Required Qualifications: • Skill Sets: Pega, Microsoft Power Platform (Power Apps, Power Automate, PVA, Power BI), Alteryx (Data transformation and automation), Kofax (OCR tool), UI Path, Gen AI, Agentic AI (Hands on experience on Gitogenin/Vertex AI, Lang chain or any other Agentic framework) • Certification: UI path Certified, MS Power Platform Certified, Alteryx Certified, Gen AI/Agentic AI certified EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.