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hace 2 semanas
Agentic AI & Enterprise Architecture Key Responsibilities 1. Agentic AI Operating Model Design Design and implement Agentic AI-powered operating models for large-scale enterprise transformations Architect human‑AI collaboration frameworks and Digital Delivery Worker ecosystems Create Centers of Excellence (CoE) for AI‑Native delivery practices and governance Define organizational structures, role definitions, and capability models for AI‑augmented teams Establish metrics frameworks for measuring productivity in human‑AI collaborative environments 2. Enterprise Solution Architecture Lead enterprise architecture initiatives across complex, multi‑domain organizations Design end‑to‑end solution architectures spanning UI, backend, data platforms, and AI services Architect cloud‑native solutions on AWS, Azure, or GCP with focus on scalability and resilience Understanding of modern data architectures including data lakes, lakehouses, real‑time streaming, and AI/ML pipelines Establish architectural governance, standards, and best practices across technology stacks 3. Engineering Delivery Excellence Design and optimize Software Development Life Cycle (SDLC) processes for AI‑Native delivery Architect CI/CD pipelines, DevSecOps practices, and automated quality gates Lead technical due diligence and solution validation for complex transformation programs Mentor engineering teams on modern development practices and architectural patterns Drive adoption of platform engineering and developer experience optimization 4. Strategic Consulting Transformation Lead C‑level engagements for digital transformation and AI adoption strategies Conduct organizational assessments and design target state operating models Create business cases and ROI models for large‑scale technology transformations Facilitate workshops and design thinking sessions with senior stakeholders Develop transformation roadmaps with clear milestones, dependencies, and success criteria Required Qualifications 1. Experience Background 15+ years in enterprise architecture, solution design, and technology consulting 5+ years leading large‑scale digital transformations (500+ person organizations) 3+ years hands‑on experience with AI/ML platforms and Agentic AI implementations Proven track record establishing Centers of Excellence and operating model transformations Experience across Banking, Financial Services, or Technology sectors 2. Technical Expertise a. Cloud Infrastructure Expert‑level proficiency in AWS, Azure, or GCP cloud platforms Deep understanding of Kubernetes, Docker, microservices architecture Experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates) Knowledge of cloud security, compliance frameworks (SOC2, PCI‑DSS, GDPR) b. Data Analytics Expertise in modern data architecture patterns (Data Mesh, Data Fabric, Lakehouse) Proficiency with data platforms (Snowflake, Databricks, AWS Redshift, Azure Synapse) Experience with real‑time streaming (Kafka, Kinesis, Event Hubs) Knowledge of data governance, lineage, and quality frameworks c. AI Machine Learning Hands‑on experience with Agentic AI platforms and multi‑agent orchestration Proficiency in LLM integration, prompt engineering, and RAG architectures Understanding of MLOps, model lifecycle management, and AI governance Experience with AI/ML platforms (Azure AI, AWS SageMaker, Google AI Platform) d. Software Engineering Proficiency in multiple programming languages (Python, Java, JavaScript, C#) Deep understanding of API design, event‑driven architecture, and integration patterns Experience with modern frontend frameworks (React, Angular, Vue.js) Knowledge of database technologies (SQL, NoSQL, Graph databases) e. Leadership Consulting Skills Executive presence with ability to influence C‑level stakeholders Proven ability to lead cross‑functional teams of 20+ members Key Skills Summary Agentic AI AWS, Azure, GCP Kubernetes, Docker CI/CD Python, Java, JavaScript, C# #J-18808-Ljbffr
