Principal Engineer Architect

Albertsons Companies India

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 4 days ago
  • Apply easily
About Albertsons Companies IndiaAlbertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.Job DescriptionRole Summary:We are looking for a Principal Engineer / Architect to define and lead the architecture of large-scale digital platforms powering next-generation retail intelligence and workforce experiences.
This role will architect and scale two mission-critical platforms:
  • Associate Mobile Platform used by ~300K employees with embedded AI assistant and conversational capabilities
  • Retail AI / Store Intelligence Platform deployed across ~2,300 retail stores, delivering real-time operational insights and automation
As a senior technical authority, you will drive platform architecture, system design, and AI integration strategies across engineering teams, enabling highly scalable, resilient, and intelligent systems. * You will partner with engineering, product, and data science leaders to build AI-native enterprise platforms that transform retail operations and employee productivity.What You Will Do:
Lead Platform Architecture
  • Define the end-to-end architecture for large-scale mobile and AI-powered platforms.
  • Design systems supporting hundreds of thousands of users and real-time operational workloads.
  • Architect cloud-native, distributed, and event-driven systems optimized for scale and resilience
Drive AI Integration
  • Lead the integration of LLMs, AI copilots, and autonomous agent frameworks into enterprise applications.
  • Architect conversational systems powering AI assistants and intelligent workflows.
  • Collaborate with data science teams to operationalize AI-driven insights, automation, and decision systems.
Build Scalable Digital Platforms
  • Architect high-performance mobile-first platforms with robust backend ecosystems.
  • Define scalable APIs and services enabling real-time intelligence across stores and workforce platforms.
  • Ensure architecture supports high availability, low latency, and enterprise-grade reliability.
Influence Engineering Direction:
  • Serve as the highest-level technical advisor across multiple engineering teams.
  • Lead architecture reviews and establish engineering standards and best practices.
  • Mentor senior engineers and architects to drive technical excellence across the organization.
Drive Technology Strategy
  • Define long-term technology roadmaps and architecture strategies.
  • Evaluate emerging technologies in AI, distributed systems, and platform engineering
  • Lead innovation initiatives and proof-of-concepts that accelerate AI-first platform development.
Required Qualifications:
  • 12+ years of software engineering experience, including significant experience in architecture and distributed systems design.
  • 5+ years of experience architecting AI/ML or GenAI platforms at enterprise scale.
  • Proven experience architecting large-scale enterprise or consumer platforms.
  • Experience building mobile-first digital platforms with complex backend ecosystems.
  • Experience integrating AI/ML capabilities into production-grade systems.
Technical Expertise:
  • Architecture & Backend
  • Distributed systems design
  • Microservices architecture
  • API-driven platform design
  • Event-driven architectures
Languages & Frameworks
  • Java or equivalent backend technologies
  • Modern frontend frameworks (React / Angular)
  • AI & Intelligent Systems
  • Experience integrating LLMs, AI copilots, or conversational systems
  • Familiarity with frameworks such as LangChain, CrewAI, AutoGen, or OpenAI APIs.
Data & Messaging
  • Kafka or event-streaming platforms
  • SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
  • Cloud Platforms
  • AWS, GCP, or Azure
  • Cloud-native architecture patterns
Leadership Expectations
  • Influence architecture decisions across multiple product and engineering teams
  • Act as a technical thought leader for large-scale platform development
  • Drive engineering excellence, scalability, and innovation
  • Partner with product, AI, and data leaders to deliver AI-powered enterprise capabilities

Albertsons Companies India