Enterprise Architect
hace 2 días
London
We are seeking a highly experienced Enterprise Architect to design, guide, and govern scalable software solutions across the organization - ranging from individual components to fully integrated enterprise platforms. This role requires strong expertise in AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies. Key Responsibilities :Architecture & Solution Desig • nDesign end-to-end architectures spanning microservices, APIs, domain platforms, and enterprise ecosystem, • sDefine architecture patterns, standards, and reusable framework, • sTranslate business requirements into scalable and secure technical solution, • sEnsure interoperability across systems, data layers, AI services, and platform sEnterprise Architecture Strateg • yDevelop and maintain enterprise architecture roadmap, • sAlign IT strategy with business goals and digital transformation initiative, • sEstablish governance models (TOGAF/SAFe or similar, • )Lead architecture review boards and technical decision-making processe sCloud Architecture (AWS • )Architect and optimize cloud-native and hybrid solutions using AWS service, • sDefine cloud migration strategies and modernization approache, • sEnsure high availability, resiliency, cost optimization, and performanc, • eImplement Infrastructure-as-Code and automation best practice sAI, Data & Intelligent System • sDesign AI/ML infrastructure, pipelines, and enterprise integration pattern, • sArchitect solutions incorporating LLMs, generative AI, and intelligent agent, • sEstablish patterns for RAG, feature stores, and model deploymen, • tGuide adoption of AI technologies across enterprise platform sAI Governance & Observabilit • yDefine and implement enterprise AI governance frameworks (responsible AI, compliance, risk classification, • )Establish observability and monitoring for AI/ML and LLM flows (OpenTelemetry, Langfuse, • )Design guardrails for agent behavior, HITL workflows, and policy-based control, • sImplement AI lifecycle governance including validation, audit trails, and secure prompt managemen tCross-Disciplinary Leadershi • pAct as a strategic liaison across semantic, data, and ML architecture domain, • sAlign knowledge graphs, ontologies, data platforms, and ML system, • sMentor architects and senior engineers, ensuring cohesive enterprise integratio n Mandatory Skill • s:8-12+ years in software engineering and architecture rol, • esProven experience designing large-scale distributed syste, • msStrong knowledge of microservices, event-driven architectures, API management, and enterprise integration patter nsAWS Experti • seCompute & Containers: EC2, Lambda, ECS/E, • KSNetworking & Integration: VPC, Route 53, API Gateway, EventBridge, SNS, S, • QSData & Storage: S3, RDS, Aurora, DynamoDB, Redshi, • ftDevOps & Automation: CloudFormation, CDK, Terraform, CodePipeli, • neObservability: CloudWatch, X-R, • aySecurity: IAM, Cognito, KMS, Secrets Manager, Control Tow erAI/ML & Observabili • tyAWS AI/ML stack: SageMaker, Bedrock, Glue, Lake Formati, • onLLM-based architectures and agent syste, • msAI observability tools (OpenTelemetry, Langfuse, Prometheus/Grafan, • a)Strong understanding of AI governance, agent orchestration, and complian ceFrameworks & Practic • esTOGAF or equivalent framewor, • ksDomain-driven design (DD, • D)Cloud-native and serverless patter, • nsIntegration of semantic, data, and ML architectur es Nice-to-Have Skil • ls:AWS Certified Solutions Architect – Professio, • nalAWS Specialty Certifications (Machine Learning, Securi, • ty)Experience implementing enterprise AI governance framewo, • rksBackground in regulated industr, • iesExposure to multi-cloud or hybrid environme nts Langua • ges:English: C1 Adva nced !No sponsor ship! Join us in shaping the future of enterprise architecture - where cloud innovation, AI intelligence, and responsible governance converge to drive lasting i mpact.