Enterprise Architect

Overview

Enterprise Architect

What You’ll Do

• As an Enterprise Architect, you will:
• Define enterprise application architecture principles, standards, reference models, and technology roadmaps.
• Assess existing application landscapes and recommend modernization strategies across legacy, custom-built, packaged, SaaS, cloud-native, and AI-enabled platforms.
• Lead architecture design for enterprise-scale applications, APIs, microservices, integrations, and cloud-native solutions.
• Guide modernization of monolithic and legacy systems into more modular, scalable, and resilient architectures.
• Work closely with application development and support teams to improve reliability, performance, maintainability, and operational readiness.
• Support application managed services through better observability, automation, runbooks, supportability standards, and service transition practices.
• Identify opportunities to embed AI-native capabilities into development, support, service operations, knowledge management, and customer solutions.
• Define architecture patterns for AI-enabled platforms, including LLM integration, RAG, vector databases, AI agents, copilots, workflow automation, prompt management, governance, and evaluation frameworks.
• Partner with sales, presales, delivery, operations, cybersecurity, cloud, and data teams on customer solutions and transformation initiatives.
• Mentor solution architects, technical leads, developers, and support engineers.

What We’re Looking For

• We are looking for someone with:
• 10+ years of experience in enterprise IT, application architecture, solution architecture, software engineering, or application support leadership.
• Strong experience across the full application lifecycle: design, development, integration, deployment, support, modernization, and operations.
• Proven experience in a system integrator, managed services provider, technology consulting firm, or large enterprise IT environment.
• Strong understanding of enterprise applications, APIs, middleware, databases, cloud platforms, DevOps, and production support models.
• Experience with modern architecture patterns such as microservices, API-first architecture, event-driven architecture, domain-driven design, and cloud-native application design.
• Good understanding of CI/CD, containers, Kubernetes, infrastructure as code, observability, automation, and platform engineering.
• Practical exposure to AI-native technologies such as LLMs, RAG platforms, vector databases, AI agents, copilots, prompt engineering, model integration, and AI governance.
• Ability to communicate complex technology topics clearly to both executive and technical stakeholders.
• A pragmatic architecture mindset — someone who can balance innovation with delivery realities, supportability, security, cost, and business value.

Preferred Experience

• Experience with any of the following would be an advantage:
• Azure, AWS, Google Cloud, Kubernetes, OpenShift, Docker, Terraform, Ansible, GitHub, GitLab, Jenkins, ArgoCD, Kafka, API gateways, MuleSoft, Boomi, or similar technologies.
• ServiceNow, Dynatrace, AppDynamics, Prometheus, Grafana, ELK/OpenSearch, or other observability and ITSM platforms.
• Azure OpenAI, OpenAI API, AWS Bedrock, Google Vertex AI, Hugging Face, LangChain, LlamaIndex, vLLM, Ollama, or enterprise RAG platforms.
• Application managed services, ITIL processes, service transition, SLA-driven support, and production operations.
• Regulated or mission-critical industries such as government, utilities, banking, telecom, healthcare, or critical infrastructure.
• Architecture certifications such as TOGAF, cloud architect certifications, Kubernetes certifications, ITIL, or SAFe.