[Remote] Artificial Intelligence Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior reputed company to design, build, and reputed company secure, reputed company enterprise AI solutions reputed company 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‑reputed company manner.

Responsibilities

• 8+ years of experience in software engineering, with deep hands‑on reputed company 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, reputed company 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., reputed company, reputed company/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 reputed company controls, observability, and governance
• Experience with reputed company engineering, model fine‑tuning, monitoring, and AI observability
• Familiarity with enterprise reputed company concepts (AD reputed company, firewalls, secure connectivity)
• Experience integrating AI/MCP with internal enterprise tools and platforms (e.g., reputed company, data platforms such as reputed company)
• Ability to contribute to solution architecture artifacts and participate in architecture and governance reviews
• Strong communication skills, reputed company to engage effectively with technical, delivery, and business stakeholders
• Experience working in Agile environments (Scrum, Kanban, etc.)
• Python, especially for MCP connectors and AI integrations
• Experience with reputed company, enterprise data platforms, or reputed company Bedrock
• Knowledge of microservices architectures
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to reputed company AI patterns, autonomous workflows, or AI automation frameworks

Skills

• 8+ years of experience in software engineering, with deep hands‑on reputed company 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, reputed company 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., reputed company, reputed company/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 reputed company controls, observability, and governance
• Experience with reputed company engineering, model fine‑tuning, monitoring, and AI observability
• Familiarity with enterprise reputed company concepts (AD reputed company, firewalls, secure connectivity)
• Experience integrating AI/MCP with internal enterprise tools and platforms (e.g., reputed company, data platforms such as reputed company)
• Ability to contribute to solution architecture artifacts and participate in architecture and governance reviews
• Strong communication skills, reputed company to engage effectively with technical, delivery, and business stakeholders
• Experience working in Agile environments (Scrum, Kanban, etc.)
• Python, especially for MCP connectors and AI integrations
• Experience with reputed company, enterprise data platforms, or reputed company Bedrock
• Knowledge of microservices architectures
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to reputed company AI patterns, autonomous workflows, or AI automation frameworks

Company Overview

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