Solutions Architect with AI-Assisted Development Focus
Core
Design, build, and evolve production-grade agentic AI systems that embed AI deeply into software delivery workflows, from design and coding to testing, review, and operations.
Role type
Senior Solutions Architect (Agentic AI & Platform Engineering)
Builds
Agentic AI development platform, provider-agnostic AI layers, and internal developer platforms
Domain
Software Architecture, Agentic AI, Cloud AI Providers
Deliverable
production ML models
Required skills
Software architecture, distributed systems, hands-on coding (backend), LLM integration, agentic AI patterns, multi-agent orchestration, cost optimization, system observability
Preferred skills
RAG, vector databases, LLM evaluation frameworks, internal developer platforms, model fine-tuning, platform observability tools
Technologies
OpenAI, Anthropic (Claude), Google (Gemini), vector databases, LLM evaluation frameworks
Responsibilities
Design and integrate AI solutions using major cloud AI providers; Architect provider-agnostic AI layers including model abstraction and routing; Design and implement agentic AI systems including single-agent and multi-agent architectures; Actively use AI to accelerate software development including code generation and test creation; Design scalable, secure, and observable systems that embed AI as a first-class architectural component; Monitor and optimize AI system usage including token and cost management
Seniority
Senior, hands-on IC
