{"id":1170477,"url":"https://alion.io/job/hewlett-packard-enterprise-principal-cloud-developer-aiml","title":"Principal Cloud Developer - AI/ML","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":114,"ghost_share":0,"stale_share":0.956,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":91000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Angular","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Postman","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"TensorFlow","optional":false},{"name":"Unix","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CloudFormation","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"OpenAI","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-20T17:48:00Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"Principal Cloud Developer - AI/MLThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.Who We Are:\nHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.\nJob Description:\nJob Family Definition:\nThe Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.\nBrings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.\nCollaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.\nThe Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.\nManagement Level Definition:\nContributions have visible technical impact on a product or major subcomponent. Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.\nWhat you’ll do:\nPosition Summary\nLead 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.\nKey Responsibilities\nOwn end-to-end architecture and technical roadmap for data-intensive and AI-enabled enterprise applications.\n\nDesign scalable, secure, resilient cloud-native solutions for application, data, and AI workloads.\n\nLead architecture reviews, technical governance, and technology selection.\n\nDrive engineering best practices including TDD, code reviews, CI/CD, automation, and MLOps/LLMOps practices.\n\nArchitect data platforms, APIs, microservices, distributed systems, and AI service integration patterns.\n\nLead the design and operationalization of AI/ML solutions, including model deployment, monitoring, drift detection, and retraining strategies.\n\nEvaluate and implement Generative AI use cases such as LLM-powered assistants, RAG architectures, prompt orchestration, and agent-based workflows where relevant.\n\nEstablish observability, monitoring, reliability, incident response, and governance practices for both software and AI systems.\n\nMentor engineers and influence technical direction across teams.\n\nPartner with Product, Security, Infrastructure, Data Science, and Business stakeholders.\n\nWhat you need to bring:\nRequired Qualifications\n12+ years of software engineering experience.\n5+ years in architecture or technical leadership roles.\nExpertise in programming languages like Java, Python, or Go, Framework like ReactJS, Angular and NodeJS.\nStrong OOAD, design patterns, microservices, and distributed systems experience.\nStrong API design experience using REST, JSON/XML, Swagger, and Postman.\nExperience with PostgreSQL, SQL Server, Oracle, and exposure to NoSQL databases.\nExperience with Linux/Unix, HTTP, caching, scalability, and performance optimization.\nAgile/Scrum, TDD, unit testing, and troubleshooting expertise.\nStrong understanding of AI/ML fundamentals, model lifecycle, feature engineering, and production deployment patterns.\nHands-on experience with AI/ML frameworks and platforms such as TensorFlow, PyTorch, Scikit-learn, or equivalent.\nExperience building or integrating Generative AI solutions using LLMs, prompt engineering, embeddings, vector databases, and RAG patterns.\nKnowledge of MLOps/LLMOps practices including model versioning, evaluation, monitoring, experimentation, and governance.\nAbility to assess AI solution trade-offs across accuracy, latency, scalability, security, explainability, and cost.\nEffectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels.\n\nPreferred Qualifications\nAWS and/or Azure/GCP cloud platforms.\nInfrastructure as Code (Terraform, CloudFormation).\nMonitoring, Observability, SRE, and Platform Engineering practices.\nExperience with AI platform services such as Amazon Bedrock, SageMaker, Azure OpenAI, Vertex AI, or equivalent.\nFamiliarity with vector databases, model serving and inference optimization.\nKnowledge of responsible AI, model governance, privacy, and security considerations for enterprise AI adoption.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe 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.\nUnconditional Inclusion\nWe 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.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\n#india#networkingJob:\nEngineeringJob Level:\nTCP_05HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. 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.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE 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.\nRecruitment Fraud Alert\nWe 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.\nAll 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. 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