Artificial Intelligence Engineer

Role Summary The AI/ML Engineer will support the implementation of agentic AI components across the engagement, including MCP server integrations, data source connectors, orchestration logic, and evaluation frameworks. The role will focus on building and testing reusable agent templates and ensuring integration readiness with Amazon Bedrock AgentCore Runtime and Gateway. Key Responsibilities * Implement MCP server integrations and data source connectors to enable secure, scalable agent workflows. * Develop orchestration logic to support multi-step agent execution across enterprise use cases. * Build and test the Jira Triage Agent Template, including classification, routing, human-in-the-loop gates, and evaluation flows. * Support integration with Amazon Bedrock AgentCore Runtime and Amazon Bedrock AgentCore Gateway. * Develop test cases, validation scripts, and evaluation frameworks to measure agent accuracy, reliability, and routing effectiveness. * Collaborate with senior engineers and architects to industrialise reusable agent patterns for future customer use cases. Required Skills * Hands-on experience in AI/ML engineering, Python, APIs, and cloud-native development. * Exposure to LLM-based application development, agent orchestration, and evaluation frameworks. * Working knowledge of AWS AI/ML services, preferably Amazon Bedrock. * Experience with Jira or enterprise workflow systems is preferred. * Good understanding of integration patterns, REST APIs, event-driven workflows, and secure data access. AI/ML Engineer, Senior / Mid-Leve l Role Summa ryThe AI/ML Senior / Mid-Level Engineer will support the technical lead in designing and building the Agentic Backbone architecture. The role will contribute to Amazon Bedrock AgentCore Gateway and Policy configuration, reusable agent template development, discovery sessions, and customer enablement activitie s.Key Responsibiliti * esSupport the technical lead in designing the Agentic Backbone architecture and reusable agent delivery mode * l.Contribute to Amazon Bedrock AgentCore Gateway configuration, policy setup, access controls, and integration pattern * s.Assist in discovery sessions across customer use cases to identify agent design patterns, data dependencies, workflow requirements, and governance need * s.Help develop the reusable Agent Template pattern for future AI/ML and agentic automation use case * s.Support the design and refinement of orchestration, policy, runtime, and gateway component * s.Participate in knowledge transfer, documentation, and enablement sessions to support customer adoptio * n.Work with cross-functional teams to ensure the solution is scalable, governed, reusable, and aligned to enterprise AI adoption objective s.Required Skil * lsExperience in AI/ML solution development, cloud architecture, or LLM-based application engineerin * g.Understanding of agentic AI concepts, orchestration, policy configuration, and reusable template desig * n.Working knowledge of AWS services, with exposure to Amazon Bedrock preferre * d.Ability to translate customer use cases into technical patterns and implementation component * s.Strong collaboration skills with experience supporting workshops, discovery sessions, and enablement activitie s.