Senior Solutions Architect - Emerging Technologies; AI, GenAI, ML

Senior Solutions Architect

The Senior Solutions Architect provides technical leadership and designs complex solution architectures that support business strategy and streamline technology-enabled workflows. This role partners closely with business owners, product, data, and engineering teams to document current-state systems and design scalable, resilient, and secure cloud‑based solutions.

• Lead discovery with business and technology partners to understand objectives, constraints, current‑state systems, and integration points.
• Document current‑state architecture and define target‑state designs including system context diagrams, component designs, integration patterns, and data flows.
• Design and modernize applications into cloud‑compatible or cloud‑native architectures using microservices, serverless, and event‑driven patterns where appropriate.
• Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms.
• Design AI and ML‑enabled solutions, including model integration into products and business processes, and patterns for scalable inference and low‑latency serving where needed.
• Design Generative AI solution patterns such as retrieval‑augmented generation, tool and API integration, prompt and context management, and evaluation approaches.
• Define reference architectures for AI platforms and enabling capabilities, such as data pipelines, feature and embedding generation, vector storage, model endpoints, and integration with enterprise APIs.
• Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, drift detection, incident response, and cost management.
• Incorporate security‑by‑design practices into architectures, including identity and access controls, encryption, secrets management, secure networking, and audit logging.
• Partner with governance and risk stakeholders to ensure responsible AI considerations are incorporated, including privacy, explainability, safety, compliance, and model risk controls as applicable.
• Drive alignment and adoption of proposed solutions by clearly communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals.
• Support testing and validation teams, helping to triage and resolve design‑related issues found during development, UAT, or production.
• Perform other duties as assigned.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience.
• 5+ years of experience in agile software delivery environments with increasing architecture and design responsibility.
• Demonstrated experience designing distributed systems using microservices and/or serverless patterns.
• Experience designing and integrating AI and ML capabilities into applications, including model serving considerations and data dependencies.
• Experience with one or more languages such as Java, Python, Node.js, or Scala.
• Experience with data persistence technologies across SQL and No
  
  SQL.
• Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and core cloud design patterns.
• Working knowledge of CI/CD pipelines and Dev Ops practices, including automated testing and deployment automation.
• Strong communication skills and ability to translate business needs into clear technical direction.

• Hands‑on experience with GenAI and LLM solutions, including retrieval‑augmented generation, embeddings, evaluation, and production monitoring.
• Experience with AI and ML platforms or services such as AWS Sage Maker, Amazon Bedrock, Azure AI, Azure OpenAI, or Google Vertex AI.
• Infrastructure‑as‑Code experience, such as Terraform or Cloud Formation.
• Container and orchestration experience, such as Docker and Kubernetes, and cloud container platforms like ECS or EKS.
• Experience with vector databases and search technologies and associated indexing and retrieval patterns.
• Experience with enterprise observability, including centralized logging, tracing, metrics, alerting, and operational readiness.
• Database and procedural development experience, including PL/SQL, and strong…