# Principal Cloud Developer - AI/ML

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Principal-Cloud-Developer---AI-ML_1208753-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_393b2691-970

## Description

We are seeking a Principal Cloud Developer - AI/ML to lead the architecture, engineering, and operational excellence of cloud-native, data-intensive enterprise applications.

**Job Description:**

As a Principal Cloud Developer - AI/ML, you will own technical strategy, platform scalability, reliability, cloud operations, and engineering excellence while providing hands-on technical leadership.

**Key Responsibilities:**

- Own end-to-end architecture and technical roadmap for data-intensive and AI-enabled enterprise applications.

- Design scalable, secure, resilient cloud-native solutions for application, data, and AI workloads.

- Lead architecture reviews, technical governance, and technology selection.

- Drive engineering best practices including TDD, code reviews, CI/CD, automation, and MLOps/LLMOps practices.

- Architect data platforms, APIs, microservices, distributed systems, and AI service integration patterns.

- Lead the design and operationalization of AI/ML solutions, including model deployment, monitoring, drift detection, and retraining strategies.

- Evaluate and implement Generative AI use cases such as LLM-powered assistants, RAG architectures, prompt orchestration, and agent-based workflows where relevant.

- Establish observability, monitoring, reliability, incident response, and governance practices for both software and AI systems.

- Mentor engineers and influence technical direction across teams.

- Partner with Product, Security, Infrastructure, Data Science, and Business stakeholders.

**What you need to bring:**

- 12+ years of software engineering experience.

- 5+ years in architecture or technical leadership roles.

- Expertise in programming languages like Java, Python, or Go, Framework like ReactJS, Angular and NodeJS.

- Strong OOAD, design patterns, microservices, and distributed systems experience.

- Strong API design experience using REST, JSON/XML, Swagger, and Postman.

- Experience with PostgreSQL, SQL Server, Oracle, and exposure to NoSQL databases.

- Experience with Linux/Unix, HTTP, caching, scalability, and performance optimization.

- Agile/Scrum, TDD, unit testing, and troubleshooting expertise.

- Strong understanding of AI/ML fundamentals, model lifecycle, feature engineering, and production deployment patterns.

- Hands-on experience with AI/ML frameworks and platforms such as TensorFlow, PyTorch, Scikit-learn, or equivalent.

- Experience building or integrating Generative AI solutions using LLMs, prompt engineering, embeddings, vector databases, and RAG patterns.

- Knowledge of MLOps/LLMOps practices including model versioning, evaluation, monitoring, experimentation, and governance.

- Ability to assess AI solution trade-offs across accuracy, latency, scalability, security, explainability, and cost.

- Effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels.

**What We Can Offer You:**

- Health & Wellbeing

- Personal & Professional Development

- Unconditional Inclusion

## Skills

### Required
- Java
- Python
- Go
- ReactJS
- Angular
- NodeJS
- OOAD
- design patterns
- microservices
- distributed systems
- API design
- REST
- JSON/XML
- Swagger
- Postman
- PostgreSQL
- SQL Server
- Oracle
- NoSQL databases
- Linux/Unix
- HTTP
- caching
- scalability
- performance optimization
- Agile/Scrum
- TDD
- unit testing
- troubleshooting
- AI/ML fundamentals
- model lifecycle
- feature engineering
- production deployment patterns
- TensorFlow
- PyTorch
- Scikit-learn
- Generative AI
- LLMs
- prompt engineering
- embeddings
- vector databases
- RAG patterns
- MLOps/LLMOps

### Nice to have
- AWS
- Azure/GCP
- Infrastructure as Code
- Monitoring
- Observability
- SRE
- Platform Engineering
- AI platform services
- model serving
- inference optimization
- responsible AI
- model governance
- privacy
- security considerations

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Principal-Cloud-Developer---AI-ML_1208753-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)