Senior AI Agent & Automation Solutions Engineer

CNX•Bellevue, WA

2d•$92,250 - $123,000•Onsite

About The Position

Concentrix is seeking a Senior AI Agent & Automation Solutions Engineer to 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. The position builds production-oriented AI systems that perform appropriate tasks autonomously, interact with approved tools, analyze structured and unstructured data, and collaborate with human decision-makers. The role is part of Concentrix Technical Products and Services, which provides digital engineering, technology, data, consulting, design, advisory, market research, and contact center analytics services. The position is based onsite in Bellevue, Washington, three days per week. It is an existing, immediate vacancy, and Concentrix seeks someone who can start as soon as possible.

Requirements

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.
Ability to show practical delivery experience through working Claude agents, reusable Claude Skills, secure MCP integrations, well-engineered Python automation, and evidence-based evaluation.

Nice To Haves

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.

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 for 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.
Take end-to-end ownership of 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 the direct manager and/or direct reports.