What are the responsibilities and job description for the Forward Deployed AI Automation Engineer position at Wise Skulls?
Title: Forward Deployed AI Automation Engineer
Location: Bellevue, WA (Onsite)
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed (Telecommunications)
JD:
Key Responsibilities
Required Qualifications
Preferred Qualifications
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.
Interviews
First Round - Virtual
Client round - F2F Interview
Location: Bellevue, WA (Onsite)
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed (Telecommunications)
JD:
Key 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
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.
Interviews
First Round - Virtual
Client round - F2F Interview