Senior AI Agent & Automation Solution Engineer- W2 Only

Role: Senior AI Agent & Automation Solutions Engineer
Location: Hybrid- Bellevue, WA
Duration: 12+ Months with possible extension

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
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.
Develop reusable Claude Skills and agent-based automation workflows that support scalable, repeatable enterprise use cases.
Integrate AI solutions with approved tools, databases, APIs, enterprise platforms, and workflow orchestration environments.
Build secure Model Context Protocol integrations, including custom MCP servers and secure tool connections where required.
Translate ambiguous business problems into structured technical requirements, solution designs, measurable outcomes, and maintainable implementation plans.
Develop Python-based automation, APIs, asynchronous workflows, data-processing pipelines, and tested software components.
Analyze structured and unstructured data to identify automation opportunities, validate solution performance, and measure operational impact.
Implement evaluation frameworks, monitoring practices, AI safety controls, security considerations, and production governance for AI-powered systems.
Partner with business stakeholders, technology teams, and human decision-makers to ensure AI solutions deliver reliable, measurable value.
Provide technical leadership across AI agent architecture, workflow automation, enterprise integration, and evidence-based solution evaluation.
Demonstrate end-to-end ownership by moving from unclear business challenges to dependable AI-enabled workflows that improve efficiency, quality, reliability, or cost.
Complete all assigned, mandatory training within the timeframe provided.
Conduct and/or participate in regularly scheduled 1:1 meetings with your direct manager and/or direct reports.
Qualifications
Strong hands-on experience with Python, APIs, asynchronous programming, testing, and modern software engineering practices.
Practical experience developing LLM-powered applications, AI agents, 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, APIs, and enterprise platforms.
Proficiency with 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 practices.
Demonstrated ability to translate ambiguous requirements into maintainable, reliable technical solutions.
Production experience with Claude Code, Claude Agent SDK, and custom MCP servers is preferred.
Experience implementing multi-agent orchestration and agent evaluation frameworks is preferred.
Experience with FastAPI, Pydantic, pandas, pytest, Docker, and CI/CD is preferred.
Experience integrating Jira, Confluence, GitHub, Microsoft 365, or similar enterprise platforms is preferred.
Knowledge of retrieval-augmented generation, vector databases, semantic search, and knowledge engineering is preferred.
Familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud is preferred.
Experience with enterprise automation platforms such as n8n, Airflow, or equivalent solutions is preferred.
Demonstrated experience measuring automation ROI and operational improvements is preferred.
Ability to show practical delivery experience through working Claude agents, reusable Claude Skills, secure MCP integrations, well-engineered Python automation, and evidence-based evaluation.