Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)
Core
Design complex, scalable, and secure cloud-based solution architectures for emerging technologies including AI, Generative AI, and machine learning to support business strategy and streamline workflows.
Role type
Senior Solutions Architect (AI/GenAI/ML)
Builds
Cloud-native applications, AI/ML-enabled products, and reference architectures for AI platforms.
Domain
Financial services, Cloud Architecture, Artificial Intelligence, Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud architecture design, Microservices and serverless patterns, AI/ML model integration, GenAI solution patterns (RAG, embeddings), MLOps practices, Security-by-design, Stakeholder alignment
Preferred skills
GenAI/LLM production experience, AI platform services (SageMaker, Bedrock, Vertex AI), Infrastructure-as-Code (Terraform), Container orchestration (Kubernetes), Vector databases, Responsible AI governance
Technologies
AWS, Azure, Google Cloud, Java, Python, Node.js, Scala, SQL, NoSQL, Docker, Kubernetes, Terraform, CloudFormation, PL/SQL
Responsibilities
Lead discovery with business and technology partners to understand objectives and constraints; Document current-state architecture and define target-state designs including system context diagrams and integration patterns; Design and modernize applications into cloud-compatible or cloud-native architectures; Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms; Design AI and ML-enabled solutions including model integration and scalable inference patterns; Design Generative AI solution patterns such as retrieval-augmented generation, tool and API integration, and prompt management; Establish best practices for MLOps and AI operations including model versioning, deployment, monitoring, and drift detection; Incorporate security-by-design practices including identity controls, encryption, and audit logging; Partner with governance stakeholders to ensure responsible AI considerations including privacy, explainability, and compliance; Drive alignment and adoption of proposed solutions by communicating tradeoffs and obtaining stakeholder approvals; Support teams responsible for testing and validation and help triage design-related issues.
Seniority
Senior, hands-on IC