[Hiring] Enterprise Architect – AI & Cloud Engineering @American IT Systems

Role Description

Senior Enterprise Architect to lead technical strategy and architecture across a multi-project digital portfolio for a major telecom client. This is a hands-on architecture role requiring strong technical leadership, solution design, engineering governance, cloud expertise, and AI/Generative AI experience.

• Lead engineering teams technically.
• Establish engineering standards.
• Develop HLDs/LLDs, architecture diagrams, technical specifications, and solution decision records.
• Resolve complex technical challenges.
• Communicate architectural decisions and trade-offs to stakeholders ranging from developers to CIO-level leadership.
• Define architecture and solution strategy across multiple projects, balancing scalability, performance, maintainability, security, and cost.
• Identify technical debt and drive prioritized remediation plans.
• Lead architecture and delivery of AI/GenAI solutions, particularly RAG-based applications.
• Guide teams through the AI development lifecycle covering design, build, evaluation, deployment, monitoring, and continuous improvement.
• Define AI evaluation criteria including relevance, accuracy, groundedness, hallucination rate, latency, and cost.
• Establish AI testing, observability, and quality monitoring while addressing privacy, security, and responsible-AI requirements.
• Provide architectural guidance across microservices, distributed systems, React, cloud-native services, DevOps, and CI/CD.
• Drive security-first architecture & DevSecOps practices, including quality gates, deployment controls, and monitoring.
• Evaluate architectural options & clearly communicate recommendations, risks, dependencies, and trade-offs.
• Partner with client technical teams, Security, Engineering, DevOps, Analytics, Operations, PMO, and delivery leadership.
• Support technical estimation, planning, dependency management, and delivery risk management.
• Guide Operations on critical Blocker/P1 incidents and support post-production monitoring and analytics.

Qualifications

• 12+ years in software engineering with 5+ years in enterprise/solution architecture or senior technical leadership.
• Proven experience leading engineering teams & architecture decisions across concurrent projects.
• Mandatory hands-on experience delivering at least one end-to-end RAG-based AI solution.
• Strong understanding of GenAI, AI development lifecycle, AI evaluation, and production monitoring.
• Strong architecture experience with microservices, distributed systems, and React.
• Hands-on architecture experience with GCP, AWS, or Azure; GCP preferred.
• Strong knowledge of CI/CD, DevSecOps, automated quality gates, and secure software architecture.
• Proven experience producing HLDs, LLDs, architecture diagrams, and technical decision documentation.
• Experience with estimation, planning, technical risk management, and cross-functional delivery.
• Strong problem-solving, stakeholder-management, and executive communication skills.

Requirements

• Preferred: LLM observability, responsible-AI frameworks, vector databases, embedding pipelines, event-driven architecture, API gateways, service mesh, SRE & Infrastructure as Code.
• Telecom or large-enterprise digital experience is preferred.