Principal AI Solutions Architect

Position Overview We are seeking an experienced Principal AI Solutions Architect to lead the design and implementation of secure, scalable, and enterprise‑grade AI and cloud solutions supporting large‑scale digital transformation initiatives. This role requires deep expertise in AWS cloud architecture, Generative AI ecosystems, enterprise systems integration, MLOps, AI governance, and cloud‑native application design . The ideal candidate will serve as a strategic technical leader responsible for architecting AI‑enabled platforms while ensuring security, compliance, governance, and operational excellence. The architect will collaborate closely with enterprise leadership, data engineering teams, cybersecurity, DevSecOps, and application development teams to drive innovation using modern AI technologies including LLMs, RAG architectures, MCP (Model Context Protocol), AI Guardrails, and enterprise AI orchestration frameworks . Key Responsibilities Design and implement enterprise‑scale AWS cloud architectures supporting AI/ML and GenAI workloads. Architect scalable, resilient, and secure cloud‑native solutions using: Microservices Containers APIs Event‑driven architectures Serverless computing Lead architecture and integration efforts for: Generative AI platforms LLM orchestration AI agents RAG pipelines Vector databases Knowledge graph integrations Design and implement AI governance frameworks including: Responsible AI AI Guardrails Model monitoring Risk management Compliance controls Implement and support MCP (Model Context Protocol) integrations and AI interoperability solutions. Architect enterprise MLOps pipelines for: Model training Validation Deployment Observability Lifecycle management Design secure AI solutions leveraging AWS services such as: SageMaker Bedrock Lambda ECS/EKS API Gateway DynamoDB S3 IAM CloudWatch Collaborate with DevSecOps teams to implement: CI/CD pipelines Infrastructure as Code (Terraform/CloudFormation) Security automation Compliance scanning Develop architecture standards, governance models, and technical roadmaps. Provide technical leadership, mentoring, and architectural guidance across engineering teams. Evaluate emerging AI technologies and recommend enterprise adoption strategies. Support enterprise modernization initiatives aligned with scalable AI adoption and cloud transformation goals. Required Qualifications 10+ years of experience in: Enterprise Architecture Cloud Engineering Systems Architecture Solution Architecture 5+ years of hands‑on AWS cloud architecture experience. Strong expertise in: AI/ML architecture Generative AI Large Language Models (LLMs) AI orchestration frameworks MLOps Experience with: MCP (Model Context Protocol) AI Guardrails Responsible AI frameworks Strong experience designing: Distributed systems Enterprise integrations Cloud‑native platforms Expertise in: API architecture Event‑driven systems Kubernetes Docker Serverless computing Experience with Infrastructure as Code: Terraform CloudFormation Strong DevSecOps and CI/CD implementation experience. Strong understanding of: Security architecture Governance Compliance Enterprise cloud controls Strong communication and stakeholder management skills. Preferred Qualifications AWS Certified Solutions Architect – Professional AWS AI/ML Specialty Certification Experience with: LangChain OpenAI APIs Bedrock Agents Vector databases Knowledge Graphs RAG architectures Experience implementing enterprise AI governance and Responsible AI initiatives. Familiarity with enterprise modernization and digital transformation initiatives. Technical Skills AWS Cloud Architecture Generative AI / GenAI LLM Integration MCP (Model Context Protocol) AI Guardrails Responsible AI MLOps Terraform / CloudFormation Kubernetes / Docker Python API Design DevSecOps CI/CD Pipelines Enterprise Systems Integration Data & AI Governance RAG Architectures Vector Databases Bedrock / SageMaker #J-18808-Ljbffr