Senior AI Agent & Automation Solutions Engineer

Job Description

Role: Senior AI Agent & Automation Solutions Engineer

Location: Bellevue, WA (Onsite – 3 Days a week)

Job Description

As a Senior AI Agent & Automation Solutions Engineer, you will design, develop, deploy, and continuously improve intelligent automation solutions using Anthropic Claude and modern agentic AI technologies. This hands-on role combines software engineering, AI agent development, reusable skills engineering, enterprise system integration, and data-driven problem-solving to turn ambiguous business challenges into secure, scalable, measurable AI-powered solutions.

You will move beyond prompt engineering to build production-oriented AI systems that can perform appropriate tasks autonomously, interact with approved tools, analyze structured and unstructured data, and collaborate effectively with human decision-makers.

Responsibilities

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• Design and build production-ready AI agents and automation solutions using Anthropic Claude, Claude APIs, Claude Code, Claude Agent SDK, Claude Skills, and related agentic AI technologies.
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• Develop reusable Claude Skills and agent-based automation workflows that support scalable, repeatable enterprise use cases.
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• Integrate AI solutions with approved tools, databases, APIs, enterprise platforms, and workflow orchestration environments.
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• Build secure Model Context Protocol integrations, including custom MCP servers and secure tool connections where required.
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• Translate ambiguous business problems into structured technical requirements, solution designs, measurable outcomes, and maintainable implementation plans.
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• Develop Python-based automation, APIs, asynchronous workflows, data-processing pipelines, and tested software components.
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• Analyze structured and unstructured data to identify automation opportunities, validate solution performance, and measure operational impact.
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• Implement evaluation frameworks, monitoring practices, AI safety controls, security considerations, and production governance for AI-powered systems.
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• Partner with business stakeholders, technology teams, and human decision-makers to ensure AI solutions deliver reliable, measurable value.
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• Provide technical leadership across AI agent architecture, workflow automation, enterprise integration, and evidence-based solution evaluation.
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• Demonstrate end-to-end ownership by moving from unclear business challenges to dependable AI-enabled workflows that improve efficiency, quality, reliability, or cost.
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• Complete all assigned, mandatory training within the timeframe provided.
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• Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.
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Qualifications

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• Strong hands-on experience with Python, APIs, asynchronous programming, testing, and modern software engineering practices.
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• Practical experience developing LLM-powered applications, AI agents, or agentic workflows.
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• Working knowledge of Anthropic Claude models, Claude APIs, tool use, and structured output patterns.
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• Ability to design reusable Claude Skills and agent-based automation workflows.
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• Experience integrating applications with databases, external services, APIs, and enterprise platforms.
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• Proficiency with SQL, JSON, YAML, Git, and data-processing libraries.
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• Familiarity with MCP architecture and secure tool integration.
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• Understanding of evaluation frameworks, AI safety, security, monitoring, and production deployment practices.
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• Demonstrated ability to translate ambiguous requirements into maintainable, reliable technical solutions.
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• Production experience with Claude Code, Claude Agent SDK, and custom MCP servers is preferred.
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• Experience implementing multi-agent orchestration and agent evaluation frameworks is preferred.
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• Experience with FastAPI, Pydantic, pandas, pytest, Docker, and CI/CD is preferred.
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• Experience integrating Jira, Confluence, GitHub, Microsoft 365, or similar enterprise platforms is preferred.
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• Knowledge of retrieval-augmented generation, vector databases, semantic search, and knowledge engineering is preferred.
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• Familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud is preferred.
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• Experience with enterprise automation platforms such as n8n, Airflow, or equivalent solutions is preferred.
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• Demonstrated experience measuring automation ROI and operational improvements is preferred.
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• Ability to show practical delivery experience through working Claude agents, reusable Claude Skills, secure MCP integrations, well-engineered Python automation, and evidence-based evaluation.
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