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Principal Cloud Developer - AI/ML

Hewlett Packard Enterprise
Bengaluru, IND
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 weeks ago
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Full Job Posting

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:
  • Position Summary
  • Lead the architecture, engineering, and operational excellence of cloud-native, data-intensive enterprise applications. Own technical strategy, platform scalability, reliability, cloud operations, and engineering excellence while providing hands-on technical leadership.

Required Qualifications

  • 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.
  • AWS and/or Azure/GCP cloud platforms.
  • Infrastructure as Code (Terraform, CloudFormation).
  • Monitoring, Observability, SRE, and Platform Engineering practices.
  • Experience with AI platform services such as Amazon Bedrock, SageMaker, Azure OpenAI, Vertex AI, or equivalent.
  • Familiarity with vector databases, model serving and inference optimization.
  • Knowledge of responsible AI, model governance, privacy, and security considerations for enterprise AI adoption.
  • Health & Wellbeing
  • We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
  • Personal & Professional Development
  • We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
  • Unconditional Inclusion
  • We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
  • Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
  • HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
  • Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
  • HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
  • Recruitment Fraud Alert
  • We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
  • All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Preferred Qualifications

  • AWS and/or Azure/GCP cloud platforms.
  • Infrastructure as Code (Terraform, CloudFormation).
  • Monitoring, Observability, SRE, and Platform Engineering practices.
  • Experience with AI platform services such as Amazon Bedrock, SageMaker, Azure OpenAI, Vertex AI, or equivalent.
  • Familiarity with vector databases, model serving and inference optimization.
  • Knowledge of responsible AI, model governance, privacy, and security considerations for enterprise AI adoption.
  • What We Can Offer You:
  • Health & Wellbeing
  • We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
  • Personal & Professional Development
  • We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
  • Unconditional Inclusion
  • We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
  • Let's Stay Connected:
  • Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
  • Job:
  • Job Level:
  • HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
  • Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
  • HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
  • Recruitment Fraud Alert
  • We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
  • All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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