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Acuver Consulting looking for a Senior Technical Architect – AI & Digital Engineering who will play a pivotal role in shaping and scaling Acuver’s next generation of AI-enabled and cloud-native solutions. This role combines deep enterprise architecture expertise with the ability to rapidly translate emerging AI and digital use cases into scalable, reusable, and production-ready solution frameworks. This architect will work closely with AI & Engineering leadership, and customer stakeholders to accelerate innovation while ensuring architectural rigor, long-term sustainability, and platform reusability across engagements.
Job Responsibility:
Lead architecture for AI-enabled applications, including ML, GenAI, intelligent automation, and advanced analytics integrations
Translate business use cases into rapid prototypes and scalable reference architectures
Define reusable starter frameworks and solution accelerators
Partner with Data Science and AI teams to productionize models
Establish best practices for LLM/GenAI integration and observability
Develop and present end-to-end architectural blueprints
Apply modern architectural patterns to design scalable systems
Define cloud-native architectures across AWS, Azure, or GCP
Guide teams in building API-first, event-driven platforms
Evaluate and select appropriate technologies
Establish reference architectures and reusable components
Drive balance between rapid experimentation and production engineering
Mentor engineering teams on modern design patterns
Define CI/CD strategies and DevOps practices
Promote automation and engineering best practices
Work closely with customers and stakeholders
Support pre-sales and innovation initiatives
Provide architectural governance
Mentor architects and senior engineers
Requirements:
12–14 years of relevant experience in solution architecture, enterprise application design, and cloud-native engineering, with increasing responsibility in leading cross-functional technical teams
Strong experience designing enterprise-grade applications on Java/J2EE or comparable platforms
Deep knowledge of architectural and design patterns
Experience designing cloud-native systems on AWS, Azure, or GCP
Experience building secure distributed systems
Strong experience with messaging platforms such as Kafka
Experience with modern frameworks like Spring Boot
Experience designing data architectures
Experience defining CI/CD pipelines
Experience with version control systems
Experience integrating AI/ML or GenAI capabilities
Strong understanding of APIs and real-time data pipelines