Website:
talent500.com
Job details:
About Albertsons Companies Inc.:
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 Companies India:
At Albertsons Companies India, 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 Companies India, 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 Companies India 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.
Staff Engineer Software
Role Overview:
We are building a modern Workflow system for with an AI first experience layer. This role is for a hands-on product engineer who can ship full stack capabilities end to end and treat AI as a core interaction model, not a bolt on feature. You’ll help deliver an AI first front door workflow fulfillment experience, including AI assisted workflows and agentic workflows that automate common operational tasks while maintaining stability, compliance, and auditability. Note: Prior ServiceNow experience is valued as domain context (ITSM patterns, SLAs, approvals, routing), but this is not a ServiceNow admin/config role.
What You’ll Build (Examples):
- AI first front door: conversational entry points (Teams/web), smart search, guided self-service, and AI assisted intake that reduces friction and drives deflection.
- Agentic workflows (controlled autonomy): AI assisted decisioning and multi-step orchestration for repeatable operations (triage, routing, knowledge capture, change risk checks) with strong guardrails.
- Workflow orchestration foundation: reliable workflow definition/execution.
- Search + knowledge intelligence: better retrieval and intent-based search experiences to improve self-service and reduce tickets.
- Enterprise-ready integration and compliance: identity, asset/service context, audit trails, latency and stability targets appropriate for service operations.
Key Responsibilities:
Full Stack Product Delivery:
- Build production-grade web experiences (portals, agent experiences, dashboards) and backend services (APIs, orchestration, data model).
- Own features end to end: design/implementation, testing, deployment, monitoring, iteration.
AI First Feature Engineering (Core Expectation):
- Deliver AI capabilities that materially improve service outcomes (e.g., smarter intake, better search, better knowledge interpretation, conversational service submission).
- Implement and operate AI assisted workflows and decisioning, including agentic workflows (with human-in-the-loop checkpoints where needed).
- Build AI components with evaluation discipline (quality checks, regression testing, monitoring) and explicit safety/operational controls.
Reliable Workflow & Data Foundations:
- Design lifecycle state models, routing, approvals, SLAs, and auditability for service management entities.
- Engineer for resilience and measurable performance (latency targets, stability, avoidance of regressions to operational processes).
Security, Privacy, and Governance by Design:
- Ensure AI experiences respect access controls and data boundaries (permissions-based responses, safe tool usage).
- Partner with security/compliance stakeholders to implement guardrails (data leakage prevention, prompt injection resilience, auditability).
Collaboration & Technical Leadership:
- Work closely with product, UX, platform/SRE, and service operations stakeholders.
- Provide technical leadership through design reviews, mentoring, and high engineering standards.
Required Qualifications:
- 6+ years building production systems as a full stack engineer (React/Angular/Vue + Node/Java/.NET/Python + SQL/NoSQL).
- Strong API design, integration patterns, and production operability (logging/metrics/tracing).
- Experience building workflow-heavy products (forms, state transitions, queues, policy/routing).
- Working knowledge of modern engineering practices: Git, CI/CD, testing, secure coding
- Experience working on DB- Postgres SQL
- Servicenow.
- Cloud Experience : Azure/ GCP
Preferred Qualifications:
- Demonstrated experience shipping AI-powered features in production or strong evidence of building LLM-enabled systems (RAG/search, tool use, orchestration, evaluation/monitoring, safe deployment practices).
- Ability to translate service management needs into AI-supported workflows (e.g., conversational interface, knowledge interpretation, deflection).
- Experience with Temporal or comparable workflow orchestration tools for building and managing long-running, distributed, event-driven workflows.
- Past or present ServiceNow exposure to understand service management patterns and workflows.
- Experience with distributed systems, asynchronous processing, queues/events
- Strong product engineering mindset: experimentation, metrics, user journeys, incremental delivery
- Experience modernizing or replacing enterprise platforms (including SaaS/vendor transitions)
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