Senior AI/Agentic AI Solutions Engineer

Introduction

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IBM is a global technology leader, trusted by enterprises to solve their most complex challenges. We design and deliver solutions that don’t just look good in demos—but survive real production environments, audits, and Monday mornings.

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We are looking for a Senior AI / Agentic Solutions Engineer to help us build advanced agentic systems that operate within complex enterprise landscapes. This is not a research role and not a toy project—this is about shipping real, integrated, production-grade AI solutions.

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Your Role And Responsibilities

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Agentic Solution Design & Development

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Design, build, and evolve complex agentic AI solutions operating in integrated enterprise environments. You will work with modern agentic frameworks to orchestrate autonomous, multi-step reasoning workflows and production-grade AI services.

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Enterprise-Grade Software Engineering

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Develop high-quality, maintainable, and scalable code using Python and modern backend frameworks (e.g., FastAPI). Ensure solutions meet enterprise standards for reliability, performance, security, and observability.

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Cloud & Platform Integration

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Design and deploy solutions in the cloud—preferably AWS—and integrate them into an existing ecosystem of services, APIs, and platforms. Ensure smooth interoperability with upstream and downstream systems.

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Architecture & Technical Leadership

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Contribute to solution architecture decisions, design patterns, and best practices for agentic systems. Support technical reviews, guide implementation choices, and help set engineering standards for agent-based solutions.

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Operational Excellence & DevOps

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Support CI/CD pipelines, containerized deployments, monitoring, logging, and secure configuration management. Ensure solutions are production-ready, auditable, and easy to operate at scale.

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Preferred Education

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Bachelor's Degree

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Required Technical And Professional Expertise

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• Proven experience designing and implementing agentic AI solutions
• Strong software engineering background with experience building enterprise-ready systems
• Advanced Python skills and experience with frameworks such as FastAPI
• Hands-on experience with agentic frameworks (preferably LangGraph or similar)
• Solid experience with cloud platforms, preferably AWS
• Experience integrating solutions into complex, existing ecosystems of services and APIs

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Preferred Technical And Professional Experience

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• Experience with agent-to-agent (A2A) communication patterns
• Familiarity with Model Context Protocol (MCP)
• Experience with AWS services such as EC2, ECS, S3, Bedrock, Bedrock AgentCore, CloudWatch, CloudTrail, Secrets Manager
• Knowledge of OIDC and OAuth authentication and authorization mechanisms
• Experience with CI/CD pipelines, containerization, and modern DevOps practices