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Join Amazon Pharmacy as the founding engineering leader for our Supply Chain technology team in Bangalore. You will build and lead a team of engineers responsible for the systems that determine what medications to buy, where to place inventory, and how to plan capacity across Amazon Pharmacy's fulfillment network. This is a greenfield opportunity to architect ML-driven supply chain systems from the ground up, leveraging Amazon's cloud-native infrastructure, proven supply chain optimization patterns, and operations research best practices at Amazon scale.
You will own the full supply chain stack for Amazon Pharmacy: demand forecasting, procurement optimization, inventory placement, resource planning, and Sales & Operations Planning (S&OP). Your systems will directly determine whether a patient's medication is in stock, at the right facility, at the right time. The stakes are high: pharmacy supply chains operate under regulatory constraints, drug expiry windows, and prescription-driven demand signals that make this one of the most technically interesting supply chain problems at Amazon.
We are building an AI-native engineering organization. You will operate with a flat structure, leading senior ICs directly, and leveraging AI-augmented development workflows (code generation, automated testing, ML-driven monitoring) to move fast with a lean team. If you are energized by building ML-intensive systems, leading from the front technically, and setting the culture for a high-autonomy engineering team, this is your role.
Key job responsibilities
A. Team Building & Leadership
. Recruit, hire, and develop a high-performing engineering team from the ground up
. Establish engineering culture, operating norms, and delivery cadence for a new team
. Lead with technical depth: participate in design reviews, unblock architectural decisions, and set the technical bar
. Operate with a flat organizational structure, providing direct leadership to senior ICs without middle-management layers
. Partner with Applied Science to integrate ML models into production systems at scale
B. Supply Chain Systems Ownership
. Own the technical roadmap for demand forecasting, procurement, placement, resource planning, and S&OP
. Design systems that optimize trade-offs among in-stock rates, cost-to-fill, holding cost, drug expiry, and fulfillment speed
. Build on Amazon's proven supply chain infrastructure and architectural patterns, customizing for Pharmacy's unique constraints: controlled substances, prescription-driven demand, state-by-state regulatory requirements, and drug shelf-life management
. Architect ML pipelines that compound in accuracy over time: learned demand models, intelligent procurement, and placement optimization
. Apply operations research techniques (linear programming, stochastic optimization, simulation, multi-objective optimization) to inventory and capacity planning problems
. Establish engineering best practices for supply chain systems: reproducible model training, backtesting frameworks, A/B experimentation for supply chain interventions, and rigorous offline-to-online evaluation
C. Operational Excellence & Delivery
. Deliver production systems that meet the reliability bar for healthcare: medication availability is not optional
. Establish monitoring, observability, and alerting for supply chain health metrics
. Drive operational reviews and use data to continuously improve system performance and business outcomes
. Coordinate with US-based product and science teams across time zones to align on priorities and deliverables
D. Innovation & AI-Native Development
. Pioneer AI-augmented development practices: code generation, automated testing, AI-assisted code review
. Drive adoption of ML and data-driven decision-making across all supply chain functions
. Evaluate and integrate Amazon's supply chain tooling and infrastructure where applicable, invent where Pharmacy requires differentiation
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience working across science domains including machine learning and operations research
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 5+ years of practical work applying ML to solve complex problems for large-scale applications experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 148494687
Skills:
Machine Learning, Software Development, Design Patterns, Team Management, Generative AI, Reliability and Scaling, Engineering Practices
Skills:
Machine Learning, Deduplication, Big Data, Deep Learning, Data Integration, Artificial Intelligence, Elastic Computing, GenAI, Storage Solutions, large scale distributed systems, entity resolution, Ai, SOA technologies, Parallel Processing, Classification
Skills:
Automated Testing, Software Engineering, modern software design patterns, EDI technology and tools, DevOps practices, cloud-native architecture, continuous deployment pipelines
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