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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & 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 & 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
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.