Senior AI Integration & Data Engineering Solution Builder

Senior AI Integration & Data Engineering Solution Builder Location: Minneapolis, MN (Fully Onsite Role) Duration: CTH Role Role Overview • We are seeking a highly skilled Senior AI Integration Engineer to design, develop, and scale AI-driven application solutions that power advanced analytics, automation, and intelligent decision-making within a leading financial institution. • This is a hands-on, high-impact role at the intersection of Generative AI, application integration, and data engineering. The ideal candidate will be responsible for delivering end-to-end AI solutions—spanning data pipelines, microservices, and application workflows—while collaborating closely with solution architects, platform teams, and business stakeholders. • This position offers significant autonomy, executive visibility, and the opportunity to shape enterprise-wide AI adoption across mission-critical financial systems. Key Responsibilities • AI Integration & Application Development • Design and implement AI-powered integration solutions leveraging LLMs, NLP, and Machine Learning models • Develop scalable microservices, APIs, and event-driven architectures integrated with enterprise systems • Build and deploy RAG pipelines, embedding workflows, and vector search solutions • Develop LLM-powered applications using LangChain, Hugging Face, and custom orchestration frameworks • Collaborate with solution architects to define end-to-end AI architectures • Translate business requirements into scalable AI-enabled applications and workflows • Ensure compliance with AI governance, security, and regulatory standards Data Engineering & Platform Development • Architect and develop high-performance, scalable data pipelines for AI/ML workloads • Build robust data foundations supporting Generative AI and NLP applications • Develop production-grade pipelines using Python, TensorFlow, and PyTorch • Optimize performance across data platforms such as Snowflake, SQL Server, and SingleStore • Implement data governance, quality controls, and lineage tracking Cloud & Distributed Systems Engineering • Design and deploy cloud-native distributed systems across AWS, Azure, and hybrid environments • Build containerized solutions using Docker, Kubernetes, and OpenShift • Ensure system reliability through monitoring, logging, and operational best practices • Mentor team members and drive engineering excellence in AI and distributed systems Required Qualifications Technical Expertise • Strong experience in Generative AI, LLMs, NLP, and ML pipelines • Proven ability to integrate AI solutions into enterprise applications (APIs, microservices, event streaming) • Hands-on experience with RAG, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate) • Advanced proficiency in Python • Experience with LangChain, TensorFlow, PyTorch, and Hugging Face • Expertise in containerization and orchestration (Docker, Kubernetes, OpenShift) • Strong background in distributed and microservices-based architecture Data Platforms & Architecture • Experience working with Snowflake, SQL Server, SingleStore, or similar platforms • Ability to design scalable pipelines for both structured and unstructured data • Strong understanding of data governance, quality, and reliability Domain Experience • Experience working in regulated environments (financial services preferred) • Familiarity with compliance, audit, and regulatory frameworks • Understanding of AI/data architecture in risk, compliance, or operational systems Preferred Qualifications • Experience with Agile methodologies • Familiarity with enterprise frameworks (e.g., CMM) • Background in financial analytics or AI platforms within financial services Why Join Us High Impact: Drive enterprise-scale AI adoption across critical business functions Innovation: Work with cutting-edge AI technologies in production environments Visibility: Engage directly with senior technology and business leaders Ownership: Influence AI strategy and integration patterns Collaboration: Partner with top engineers, architects, and AI specialists Technology Stack Python | LangChain | TensorFlow | PyTorch | Hugging Face | Snowflake | SQL Server | SingleStore | AWS | Azure | Docker | Kubernetes | OpenShift | ELK | Vector Databases | RAG Ideal Candidate Profile Passionate about building AI-powered applications (not just pipelines) Strong blend of AI, data engineering, and system architecture expertise Proven experience delivering production-grade AI solutions at scale Comfortable solving complex challenges in regulated environments Demonstrates ownership, innovation, and technical excellence