Key skills
AWSAzureCloudDistributed SystemsAIMLGenerative AILLMOpenAIAgenticSageMakerBedrockGitHubCommunication
About this role
Role Overview
- Evaluate emerging technologies such as GitHub Copilot, Cursor, MCP gateway solutions, and AI developer tooling ecosystems for enterprise adoption
- Assess AI platforms and services including Azure OpenAI, AWS AI/ML services, and other LLM-based solutions
- Recommend architecture patterns based on cost, scalability, security, and risk tradeoffs
- Define reusable solution patterns and integration approaches (e.g., APIs, service-based architectures, and MCP or similar orchestration patterns)
- Design and recommend solutions with sufficient technical depth to support downstream engineering teams through implementation
- Evaluate vendor tools and ecosystem offerings for enterprise fit and long-term viability
- Translate complex technical concepts into clear recommendations for technical and non-technical stakeholders
- Assess early-stage technologies and translate exploratory findings into enterprise-ready recommendations
Requirements
- Bachelor’s degree or equivalent work experience
- Eight (8) or more years of experience in software engineering, architecture, or related technical roles
- Strong foundation in software engineering and solution architecture
- Experience designing distributed systems and integrating platforms through APIs and modern service-based architectures
- Cloud experience in AWS or Azure, including familiarity with AI/ML services (e.g., Azure OpenAI, SageMaker, Bedrock)
- Demonstrated understanding of generative AI and agentic AI concepts, including ability to evaluate tradeoffs such as latency, context window management, reasoning capability, and safety alignment
- Experience evaluating developer productivity tools such as GitHub Copilot, Cursor, or similar AI-assisted development tools
- Exposure to LLM integration patterns, prompt orchestration, or emerging AI frameworks
- Experience making architecture decisions grounded in real-world tradeoffs (cost, scalability, security, risk)
- Ability to design solutions and provide technical guidance through implementation (not purely conceptual architecture)
- Strong communication and stakeholder alignment skills
Tech Stack
- AWS
- Azure
- Cloud
- Distributed Systems
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law