AI Agent & Automation Solution Engineer

Title: AI Agent & Automation Solution Engineer

Location: Bellevue, WA (Onsite from Day 1, all 5 days onsite)

Job Description:

·        We are seeking a highly skilled, hands-on AI Agent & Automation Solutions Engineer to design, develop, deploy, and continuously improve intelligent automation solutions using Anthropic Claude and modern agentic AI technologies.

·        The ideal candidate must have 7+ years of experience combining strong software engineering capabilities with AI agent development, reusable skills engineering, enterprise system integration, and data-driven problem-solving.

·        This role will be responsible for transforming ambiguous business challenges into structured, measurable, secure, and scalable AI-powered solutions.

·        The successful candidate must demonstrate the ability to move beyond prompt engineering and build production-oriented AI systems that autonomously perform appropriate tasks, interact with approved tools, analyze structured and unstructured data, and collaborate with human decision-makers.

Job Responsibilities:

Key Responsibilities:
1. AI Agent Architecture & Development.
2. Claude Skills Engineering
3. MCP Integration
4. Python and workflow automation
5. Data-driven problem-solving
6. Production engineering and AI governance
7. Collaboration and Technical leadership

Department/Project Description:

Required Qualifications:

·        Strong hands-on experience with Python, APIs, asynchronous programming, testing, and software engineering practices.

·        Practical experience developing LLM-powered applications or agentic workflows.

·        Working knowledge of Anthropic Claude models, Claude APIs, tool use, and structured output patterns.

·        Ability to design reusable Claude Skills and agent-based automation workflows.

·        Experience integrating applications with databases, external services, and enterprise platforms.

·        Proficiency in SQL, JSON, YAML, Git, and data-processing libraries.

·        Familiarity with MCP architecture and secure tool integration.

·        Understanding of evaluation frameworks, AI safety, security, monitoring, and production deployment.

·        Demonstrated ability to translate ambiguous requirements into maintainable technical solutions.

Preferred Qualifications:

·        Production experience with Claude Code, Claude Agent SDK, and custom MCP servers.

·        Experience implementing multi-agent orchestration and agent evaluation frameworks.

·        Experience with FastAPI, Pydantic, pandas, pytest, Docker, and CI/CD.

·        Experience integrating Jira, Confluence, GitHub, Microsoft 365, or similar enterprise platforms.

·        Knowledge of retrieval-augmented generation, vector databases, semantic search, and knowledge engineering.

·        Familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud.

·        Experience with enterprise automation platforms such as n8n, Airflow, or equivalent solutions.

·        Demonstrated experience measuring automation ROI and operational improvements.

Success Profile
The successful candidate will be able to independently identify a business problem, analyze its data dependencies, design a Claude-based solution, develop reusable skills and agents, integrate enterprise tools through MCP or APIs, automate execution, and demonstrate measurable improvements in efficiency, quality, reliability, or cost.