Senior AI Agent & Automation Solutions Engineer

Highbrow LLC; Bellevue (WA); On-site; USD 170,000 - 250,000; Full time

Job summary

T-Mobile in Bellevue, WA seeks a Senior AI Agent & Automation Solutions Engineer (onsite from Day 1) to design, develop, deploy, and continuously improve intelligent automation using Anthropic Claude and agentic AI technologies. This role requires 7+ years blending software engineering with AI agent development.

You will transform ambiguous business challenges into structured, secure, and scalable AI-powered solutions, building production-ready systems that autonomously perform tasks, interact

Qualifications

• 7+ years combining software engineering with AI agent development.
• Experience building production AI systems with MCP integrations.
• Experience designing reusable Claude Skills and agent-based automation workflows.

Responsibilities

• AI Agent Architecture & Development.
• Claude Skills Engineering
• MCP Integration
• Python and workflow automation
• Data-driven problem-solving
• Production engineering and AI governance
• Collaboration and Technical leadership

Skills

Python

APIs

Async programming

Claude

Testing

Software engineering

Claude skills

Tools

Claude APIs

MCP architecture

CI/CD

Job description

Senior AI Agent & Automation Solutions Engineer (Client: T-Mobile) [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

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.