Staff Engineer Software - AI [T500-29312]

About Albertsons Companies Inc. (ACI):

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons India Capability Center:

At Albertsons India Capability Center, we’re not just pushing the boundaries of technology and retail innovation, we’re cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons India Capability Center, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons India Capability Center, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Position Title: Staff Software Engineer

Skills Required:

Python, AI/ML, Vertex AI, Azure ML, LangChain, RAG, Vector Databases

Experience Range:

9 - 12 years

Roles & responsibilities:

• Hands-on development of AI-powered applications using Python, conducting code reviews and continuously improving application quality, scalability, and reliability.
• Performs advanced development, support, and implementation of enterprise AI solutions using specialized business and domain expertise.
• Partners with Architects to translate enterprise AI and GenAI strategies into detailed solution designs and implementation plans.
• Leads large AI and machine learning initiatives with limited or no oversight.
• Evaluates AI, Machine Learning, and Generative AI industry trends and recommends technologies and approaches that improve business outcomes.
• Proposes and champions innovative AI solutions, architectures, and engineering practices that enhance operational efficiency and customer experience.
• Sets standards to deliver high-quality AI products and services while maintaining responsible AI principles, governance, and security.
• AI Engineering: Designs and develops enterprise AI applications using Python, leveraging Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks.
• AI Engineering: Designs and implements Retrieval Augmented Generation (RAG) architectures, embedding pipelines, semantic search solutions, and enterprise knowledge retrieval platforms.
• AI Engineering: Builds production-grade AI agents using LangChain, LangGraph, ADK, or similar frameworks including tool calling, memory management, orchestration, and human-in-the-loop workflows.
• Data & AI: Designs and implements vector search solutions using Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, pgVector, or similar vector databases.
• Cloud AI: Deploys and manages machine learning and GenAI workloads using Vertex AI or Azure Machine Learning platforms, including training, inference, monitoring, and model lifecycle management.
• AI Integration: Designs and implements AI-driven integrations with enterprise platforms using REST APIs, Kafka, Apache Camel, event-driven architectures, and microservices.
• Computer Vision & Multimodal AI: Develops solutions involving image, video, OCR, document intelligence, and multimodal AI capabilities for business use cases.
• AI Governance: Implements responsible AI controls, model evaluation, tracing, observability, prompt security, guardrails, and performance monitoring.
• Qu…