Solutions Architect 3
Core
Lead end-to-end architecture for complex, large-scale AI-driven solutions, translating business needs into scalable, secure, and resilient technical designs.
Role type
Senior Solutions Architect (Generative AI & Cloud-Native)
Builds
Enterprise AI platforms, RAG pipelines, and distributed systems
Domain
Generative AI, Cloud-Native Architecture, Telematics/Automotive
Deliverable
production ML models
Required skills
Generative AI architecture, RAG pipeline design, Vector databases, LLM lifecycle management, Cloud-native distributed systems, API design, Data architecture, DevOps practices, Python, Java
Preferred skills
Telematics or automotive industry experience, MLOps, Agentic AI frameworks
Technologies
AWS, Docker, Kubernetes, Snowflake, REST, GraphQL, gRPC, Vector databases, CI/CD
Responsibilities
Define end-to-end solution and platform architectures for large-scale distributed systems; Design architectures meeting standards for scalability, performance, resilience, security, and cost efficiency; Translate business requirements into durable technical solutions; Partner with business leaders and engineering teams to maintain architectural alignment; Define AI reference architectures and enterprise standards; Evaluate, prototype, and introduce emerging technologies; Establish and enforce architecture standards and best practices; Provide technical guidance and mentorship to engineering teams; Ensure solutions comply with security, privacy, and regulatory requirements; Create and maintain clear architecture documentation; Continuously evolve platform architectures; Architect end-to-end AI workflows covering prompt design, context management, and lifecycle management; Design RAG pipelines covering data ingestion, preprocessing, embeddings, and retrieval; Integrate AI capabilities into enterprise platforms; Assess architectural tradeoffs between classical ML, LLM-based, and non-AI solutions
Seniority
Senior, hands-on IC
