Artificial Intelligence Engineer

Our client, a large financial services organization, is seeking a talented Senior AI Engineer to join its Engineering Frameworks Team. In this role, you will contribute to the design, development, integration, operationalization, and support of AI tools and platforms used by developers across the organization to build solutions for various lines of business. This is a hands-on engineering role centered on cloud AI services (such as GCP, Gemini, and Vertex AI or comparable platforms), Claude Code, Git Hub Copilot, MCP servers, Java Spring Boot, and React.js.

The ideal candidate will have direct, demonstrable experience building and integrating with AI tools and services, along with the ability to deliver reliable, secure, and maintainable solutions that accelerate software development and improve productivity across the organization.

This senior role focuses on developing and supporting AI platforms, developer tools, and agentic application capabilities. It requires significant experience delivering high-quality software solutions, applying sound application and integration patterns, and contributing to the design of secure and scalable AI capabilities. The Senior AI Engineer will own significant technical work efforts end-to-end, collaborate with development teams and technical leaders, and help establish reusable patterns for building and operating custom agents throughout the organization.

• Develop and maintain AI platforms, tools, and frameworks used by engineers across the organization, including Claude Code, Git Hub Copilot, MCP servers, plugins, skills, and agentic frameworks
• Implement AI platform services, orchestration patterns, reference implementations, and shared integration components in collaboration with technical leads and architects
• Design and deliver tools that support development of custom agents and workflows, including sequential, multi-agent, and deterministic graph-based solutions
• Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms
• Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations
• Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers
• Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement
• Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on cloud infrastructure
• Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions
• Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities
• Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities
• Mentor junior engineers on the team as well as engineers on development teams, contributing to a culture of continuous improvement

• Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field

• 5-7 years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline
• Proven experience delivering high-quality software solutions in production environments
• Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities
• Experience with cloud-based AI services platforms such as GCP, Gemini, and Vertex AI or comparable model platforms
• Solid understanding of application architecture, integration patterns, APIs, and software design principles
• Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies
• Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns, including service accounts, client credentials, or delegated user access
• Understanding of the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices
• Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams

• Hands-on experience using Claude Code and Git Hub Copilot in an engineering workflow, including custom…