Job Category: AI Technology Engineering

Job Type: Full Time

Job Location: Bengaluru

About Acuver

At Acuver Consulting Pvt. Ltd., we’re 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 India’s 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 it’s 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, we’ve 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 don’t 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 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.

Experience Required

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.

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 up-to-date 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

📌 Senior Technical Architect – AI & Digital Engineering (India)
🏢 Acuver Consulting
📍 India