🛠 Tech Stack

💼 About This Role

You'll partner with enterprise customers to design and deliver intelligent solutions that automate workflows and improve knowledge access. You'll own the technical journey from discovery through production deployment. This role works closely with business and engineering stakeholders to translate ambiguous requirements into scalable solutions integrated with existing applications and data platforms.

🎯 What You'll Do

• Lead discovery sessions to identify high-value AI and automation use cases
• Translate business objectives into technical designs covering workflows and data flows
• Design and implement AI Agentic solutions using orchestration frameworks
• Integrate AI solutions into enterprise systems and collaboration tools
• Define KPIs and implement monitoring for continuous improvement

📋 Requirements

• Proven experience as a Solution Architect or Lead Engineer designing end-to-end enterprise solutions
• Experience integrating with cloud AI services such as Amazon Bedrock or Amazon SageMaker
• Hands-on experience building LLM-powered applications with prompt engineering and tool-calling
• Experience with Python for AI application development and orchestration
• Familiarity with orchestration frameworks such as LangChain or LangGraph

✨ Nice to Have

• Experience with Microsoft Copilot Studio
• Experience with RAG systems and vector stores
• Experience with container orchestration and serverless on AWS

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive compensation
• 🩺 Health and dental coverage
• 📈 401(k) matching
• 🎓 Professional development budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical screen· 60 min
3. 3On-site interview· 120 min