Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking a Senior AI Engineer to design and implement secure, scalable enterprise AI solutions within a regulated financial services environment. The role involves developing .NET and Azure-based AI integrations and ensuring compliance with enterprise standards while working closely with architecture, security, and governance teams.

Responsibilities

• Design, build, and enable secure, scalable enterprise AI solutions within a regulated financial services environment
• Implement Model Context Protocol (MCP)–based integrations that connect LLM platforms, internal enterprise tools, and data systems
• Develop .NET- and Azure‑based AI integrations
• Build and integrate GenAI / RAG pipelines, custom models, and limited agentic AI workflows
• Partner closely with architecture, security, and governance teams to ensure AI solutions meet enterprise standards while enabling reuse and scale across the organization

Skills

• 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.)
• 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

Benefits

• Comprehensive benefits package starting on day one of employment
• Options for medical, dental, and vision insurance
• Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment
• Access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location

Company Overview

Company H1B Sponsorship