AI Lead/Architect

Senior Technical Architect AI & Digital Engineering
About Acuver
At Acuver Consulting Pvt. Ltd., were redefining how supply chains operate helping global enterprises become faster, smarter, and more resilient. Founded in 2013 and headquartered in New Delhi, we are one of Indias fastest-growing players in the supply chain tech space.
Our strength lies in four core areas: Strategic Consulting, Enterprise Solutions, Bespoke Development, and Integration Services. Whether its implementing enterprise-grade OMS and WMS solutions or building custom AI-powered tools, we focus on delivering outcomes that matter agility, efficiency, and long-term growth.
With a sharp focus on innovation and a people-first culture, weve earned the trust of Fortune 500 clients and industry accolades including Great Place to Work, the India 5000 Best MSME Award, and inclusion in Forbes India Select 200.
At Acuver, we dont just solve supply chain challenges we build intelligent, future-ready solutions that help businesses stay ahead. If you're looking to work where impact meets innovation, Acuver is the place to be.

Role Overview
Acuver Consulting looking for a Senior Technical Architect AI & Digital Engineering who will play a pivotal role in shaping and scaling Acuvers 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.

Experience Required
1214 years of relevant experience in solution architecture, enterprise application design, and cloud-native engineering, with increasing responsibility in leading cross-functional technical teams.
Key Responsibilities
AI & Digital Solution Architecture

• 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

Enterprise & Cloud Architecture

• 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

Engineering Excellence & Platform Thinking

• 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

Collaboration & Leadership

• Work closely with customers and stakeholders
• Support pre-sales and innovation initiatives
• Provide architectural governance
• Mentor architects and senior engineers

Must-Have Skills

• 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
• Ability to create reference architectures

Good-to-Have Skills

• Experience with LLM/GenAI frameworks
• Exposure to MLOps practices
• Experience building rapid POCs
• Familiarity with retail or supply chain domains
• Proficiency in more than one programming language
• Contributions to open-source projects

What Success Looks Like in This Role

• AI and digital use cases move from idea to prototype quickly
• Reusable architectural patterns reduce delivery time
• Teams adopt modern cloud-native best practices
• Solutions balance speed and scalability