AI Engineer - Watsonx Orchestrate

• Design, develop, test, and deploy AI agents using IBM watsonx Orchestrate and LangGraph.
• Build and orchestrate intelligent workflows to automate business processes and execute complex, multi-step tasks.
• Develop agentic workflows and multi-agent architectures, including Agent-to-Agent (A2A) communication and collaboration.
• Integrate AI agents with enterprise applications, databases, external services, and REST APIs.
• Develop custom tools, functions, and connectors that enable agents to interact with enterprise systems.
• Implement agent orchestration, context management, memory, decision-making logic, and error-handling mechanisms.
• Integrate Large Language Models (LLMs) into business applications using prompt engineering, tool calling, and structured outputs.
• Evaluate and optimize agent performance, accuracy, reliability, scalability, and response quality.
• Implement testing, monitoring, observability, traceability, and continuous improvement practices.
• Apply software engineering best practices, version control, technical documentation, and deployment standards.
• Collaborate with cross-functional teams to translate business requirements into scalable AI-powered solutions., AI Agent Developer, AI Engineer, Agentic AI, IBM watsonx Orchestrate, LangGraph, Python, LLMs, Generative AI, Multi-Agent Systems, Agent-to-Agent (A2A), REST APIs, Workflow Automation, Healthcare AI, HL7, FHIR, AI Orchestration, Enterprise AI.

The ideal candidate combines strong software engineering skills with deep practical experience in AI agent development, workflow orchestration, and LLM-powered applications. Experience in the Healthcare industry is a plus, particularly in environments where data privacy, security, compliance, and reliability are critical., * Strong knowledge and hands-on experience with both IBM watsonx Orchestrate and LangGraph.

• Demonstrated experience designing, developing, and deploying AI agents and agentic workflows in practical applications.
• Strong programming skills in Python.
• Experience developing integrations using REST APIs, web services, and enterprise systems.
• Solid understanding of Large Language Models (LLMs), Generative AI, prompt engineering, and tool calling.
• Experience with workflow orchestration, agent execution patterns, context management, state management, and error handling.
• Knowledge of multi-agent architectures and agent collaboration patterns.
• Experience with Git, software development best practices, testing, and debugging.
• Ability to develop, troubleshoot, document, and maintain production-ready AI solutions., * Professional experience in the Healthcare industry, including hospitals, healthcare providers, health insurance, medical technology, or healthcare operations.
• Familiarity with healthcare workflows, patient services, clinical operations, claims processing, or healthcare administration.
• Knowledge of healthcare interoperability standards such as HL7 and FHIR.
• Understanding of data privacy, information security, AI governance, and regulatory requirements for sensitive information.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and application deployment practices.
• Experience with AI evaluation frameworks, observability, and production monitoring.

Core Competencies

• Strong analytical and problem-solving skills.
• Ability to design scalable, maintainable, and reliable AI solutions.
• Business-oriented mindset with a focus on process automation and measurable outcomes.
• Effective communication and collaboration skills.
• Ability to work in a dynamic, innovation-driven environment.
• Commitment to responsible AI development, security, and continuous learning.