Role : 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 is 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

(ref:hirist.tech)

Acuver Consulting - Senior Technical Architect - AI & Digital Engineering