Senior AI Agent & Automation Solutions Engineer

American Unit, Inc; Bellevue (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

American Unit, Inc. is seeking a Senior AI Agent & Automation Solutions Engineer to design, develop, deploy, and progressively improve AI-powered automation using Claude and related agentic technologies.

You will build production-grade AI agents, integrate with enterprise platforms, and work with business stakeholders to deliver measurable ROI. The role requires hands-on Python, API, and asynchronous programming skills, plus experience with Claude models and secure MCP integrations.

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.

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.

Skills

Python

APIs

Async programming

LLM-powered apps

Claude models

Tools

Claude SDK

Claude APIs

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

• 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.