Solution Architect - Gen AI
Core
Design complex, scalable, and secure cloud-based solution architectures for emerging technologies including Generative AI, machine learning, and microservices to support business strategy and streamline workflows.
Role type
Senior Solution Architect (Gen AI & Cloud)
Builds
Scalable cloud-native applications, AI/ML-enabled solutions, and GenAI solution patterns (RAG, agent toolchains, model integration)
Domain
Financial Services / Cloud Architecture / Generative AI
Deliverable
production ML models
Required skills
Cloud architecture (AWS/Azure/GCP), Microservices & Serverless, Generative AI & LLM patterns, AI/ML model integration, Distributed systems design, Data modeling (SQL/NoSQL), CI/CD & DevOps, Security-by-design
Preferred skills
GenAI & LLM production experience (RAG, embeddings, evaluation), AI/ML platforms (SageMaker, Bedrock, Vertex AI), MCP-based agent integrations, Container orchestration (Kubernetes/ECS), Vector databases, Enterprise observability
Technologies
AWS, Azure, Google Cloud, Python, Java, Node.js, Scala, Docker, Kubernetes, ECS, EKS, PL/SQL, MCP, OpenAPI, JSON Schema
Responsibilities
Lead discovery with business/tech partners to define objectives and constraints; Document current-state and design target-state architectures; Design and modernize applications to cloud-native patterns; Create strategies and roadmaps for cloud migration; Design AI/ML and GenAI solution patterns including RAG and agent toolchains; Define reference architectures for AI platforms and data pipelines; Incorporate security-by-design and responsible AI governance; Drive stakeholder alignment and adoption of solutions; Support testing, validation, and resolve design issues.
Seniority
Senior, hands-on IC
