Senior AI Engineer

JOB DESCRIPTION We are seeking a Senior AI Engineer to design, build, and enable secure, scalable enterprise AI solutions within a regulated financial services environment. This role focuses on implementing Model Context Protocol (MCP)–based integrations that connect LLM platforms, internal enterprise tools, and data systems in a compliant, observable, and production‑ready manner. The AI Engineer will be highly hands‑on, developing .NET- and Azure‑based AI integrations, building and integrating GenAI / RAG pipelines, custom models, and limited agentic AI workflows. This role partners closely with architecture, security, and governance teams to ensure AI solutions meet enterprise standards while enabling reuse and scale across the organization. REQUIRED SKILLS AND EXPERIENCE - 8+ years of experience in software engineering, with deep hands‑on focus in .Net, Azure services, and backend engineering - Experience working in financial services or other regulated enterprise environments - Strong experience with .NET, C# and backend APIs, building secure, scalable enterprise integrations - Deep experience with Azure services, including Service Bus, Event Hub, Blob Storage, Key Vault, and Azure AI Services - Hands‑on experience integrating LLMs and AI APIs (e.g., Cohere, OpenAI/ChatGPT, Claude) - Proven expertise with Model Context Protocol (MCP), including MCP architecture, servers, connectors, and custom integrations - Strong experience designing and implementing secure enterprise AI connectivity, including access controls, observability, and governance - Experience with prompt engineering, model fine‑tuning, monitoring, and AI observability Familiarity with enterprise security concepts (AD groups, firewalls, secure connectivity) - Experience integrating AI/MCP with internal enterprise tools and platforms (e.g., Confluence, data platforms such as Snowflake) - Ability to contribute to solution architecture artifacts and participate in architecture and governance reviews - Strong communication skills, able to engage effectively with technical, delivery, and business stakeholders - Experience working in Agile environments (Scrum, Kanban, etc.) NICE TO HAVE SKILLS AND EXPERIENCE - Python, especially for MCP connectors and AI integrations - Experience with Snowflake, enterprise data platforms, or Amazon Bedrock - Knowledge of microservices architectures - Familiarity with CI/CD pipelines and DevOps practices - Exposure to agentic AI patterns, autonomous workflows, or AI automation frameworks