Senior AI Integration Engineer
Senior AI Integration & Data Engineering Solution Builder Build the AI-Powered Application Layer Driving Intelligent FinanceWe are seeking a Senior AI Integration Engineer to design, build, and scale AI-driven application solutions powering next-generation analytics, automation, and decisioning within a leading financial institution.This is a hands-on, high-impact engineering role at the intersection of Generative AI, application integration, and data engineering. You will architect and deliver end-to-end AI solutions—from data pipelines and microservices to application workflows—partnering closely with solution architects, platform teams, and business leaders.This role offers significant autonomy, executive visibility, and the opportunity to shape enterprise-scale AI adoption across mission-critical financial systems.Key ResponsibilitiesAI Integration & Application Solution DesignDesign and deliver AI integration solutions embedding LLMs, NLP, and ML into enterprise applicationsDevelop AI-driven microservices, APIs, and event-based architectures integrated with core systemsImplement RAG pipelines, embedding workflows, and vector search architecturesBuild LLM-powered application features using LangChain, Hugging Face, and custom orchestration frameworksPartner with solution architects to define end-to-end AI architectures across data, application, and integration layersTranslate business use cases into scalable AI-enabled workflows and user experiencesEnsure AI governance, safety, and regulatory compliance across all implementationsData Engineering & Platform EnablementArchitect and build scalable, high-performance data pipelines supporting AI/ML workloadsEnable robust data foundations for Generative AI and NLP systemsDevelop production-grade pipelines using Python, TensorFlow, PyTorch, Hugging Face, and LangChainOptimize performance across enterprise data platforms (Snowflake, SQL Server, SingleStore)Implement data governance, quality controls, and lineage tracking to meet regulatory requirementsCloud, Distributed Systems & Operational ExcellenceDesign cloud-native, distributed systems across AWS, Azure, and hybrid environmentsBuild containerized, microservices-based architectures using Docker, Kubernetes, and OpenShiftEnsure reliability, monitoring, and operational excellence across AI platformsMentor engineering teams and promote best practices in AI integration and distributed systemsRequired QualificationsCore Technical ExpertiseDeep expertise in Generative AI, LLMs, NLP, and ML pipelinesProven experience integrating AI into enterprise systems (APIs, microservices, event streaming)Hands-on experience with RAG, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate, SingleStore)Advanced Python development skillsExperience with LangChain, TensorFlow, PyTorch, and Hugging FaceStrong background in containerization and orchestration (Docker, Kubernetes, OpenShift)Experience designing distributed, microservices-based systemsData Platform & ArchitectureExperience with Snowflake, SQL Server, SingleStore, or similar platformsAbility to design scalable pipelines for structured and unstructured dataStrong understanding of data governance, quality, and operational reliabilityFinancial Services ExperienceExperience in regulated environments (financial services preferred)Familiarity with audit, compliance, and regulatory frameworksUnderstanding of AI/data architecture in risk, compliance, and operational systemsPreferredAgile delivery experienceFamiliarity with enterprise standards and frameworks (e.g., CMM)Experience in financial analytics or AI platforms within financial servicesWhy This Role MattersHigh Autonomy: Shape AI integration patterns and influence enterprise AI strategyEnterprise Scale: Deliver solutions supporting millions of transactions and critical workflowsInnovation: Work with cutting-edge AI technologies and bring them into productionVisibility: Direct exposure to senior technology and business leadershipImpact: Drive real-world AI adoption across core business processesCulture: Collaborate with top-tier engineers, architects, and AI specialistsTechnology StackPython | LangChain | TensorFlow | PyTorch | Hugging Face | Snowflake | SQL Server | SingleStore | AWS | Azure | Docker | Kubernetes | OpenShift | ELK | Vector Databases | RAGIdeal Candidate ProfilePassionate about building AI-powered applications, not just pipelinesThrives at the intersection of AI, data engineering, and architectureExperienced delivering production-grade AI systems at scaleMotivated to solve complex challenges within a regulated financial environmentValues technical excellence, ownership, and innovation