AI Engineer for Storage Domain Job at Hewlett Packard Enterprise (Bangalore)

AI Lead Engineer

Lead Engineer role in HPE Hybrid Cloud focusing on AI innovation and technology ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Experience designing and developing software systems design tools and languages in storage/server/networking area
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Experience with innovation accelerators
Cloud Architectures
Cross Domain Knowledge
Design Thinking

Job Responsibility

Lead cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit
Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform
Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Translating technical AI findings into clear, business-oriented language for non-technical stakeholders
Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities
Develop custom plugins, adapters, or APIs to integrate retrieval systems with generative models
Fine-tune and optimize large language models
Monitor and troubleshoot issues within pipelines
Evaluate and benchmark the performance of vector databases

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Director of Engineering, Data Path Development

We are seeking a seasoned Director of Engineering, Data Path Development to lead...

Location

United States

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven experience managing large, distributed engineering teams in storage & embedded systems development, or related field
Demonstrated ability to mentor, evaluate, and lead senior technical teams through complex development challenges and innovation cycles
Exceptional communication and stakeholder management skills, with the ability to collaborate across engineers, architects, and executive teams
Extensive technical experience in a variety of storage technologies such as NVMe, Zstandard, data virtualization, deduplication, compression, multithreading and defragmentation
Proficiency in Embedded C++ and Golang
Familiarity with AMD and Intel platforms
Bachelor’s degree in computer science or similar field
15 or more years of related work experience, including 10 years of people management experience

Job Responsibility

Provide technical oversight and guidance to ensure engineering excellence in areas such as data virtualization, deduplication, compression, and defragmentation
Validate and evaluate technical decisions made by the team to ensure correctness, longevity, and maintainability of solutions
Manage a diverse engineering organization, including multiple managers and a team of approximately 50 engineers
Foster an inclusive, collaborative, and high-performing team culture
Define and lead the architectural planning for next-generation storage platforms, ensuring alignment with emerging technologies and industry trends
Collaborate with senior technologists and stakeholders to maintain HPE’s competitive edge in the storage domain
Explore and implement AI-driven development practices, CI/CD pipelines, and automated code reviews to enhance team efficiency and product quality
Establish scalable processes for effective delivery and continuous learning within the team
Work closely with product management and other stakeholders to align technical objectives with business goals and customer needs
Advocate for customer-centric solutions while responding to evolving market demands

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Manager, Performance AI/ML Network Deployment Engineering

The Senior Manager, DC GPU Advanced Forward Deployment and Systems Engineering i...

Location

United States , Santa Clara

Salary:

210400.00 - 315600.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
Prefer candidates with solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
Experience in working with large customers such as Cloud Service Providers and global enterprise customers
Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc
Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is preferred
Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
Excellent communication level from engineer to mid-management to C-level of audience

Job Responsibility

Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
Engage with AMD product groups to drive resolution of application and customer issues
Develop and present training materials to internal audiences, at customer venues, and at industry conferences

AI Engineer

You'll be the hands-on builder behind Bilt's AI infrastructure - designing and i...

Location

United States , New York

Salary:

200000.00 - 240000.00 USD / Year

Bilt Rewards

Expiration Date

Until further notice

Requirements

6+ years of experience, with most recent experience as an AI Engineer
Strong infrastructure/platform engineering background. You've built and operated complex distributed systems and developer tooling.
Deep, hands-on experience with the modern AI tooling stack
Security-minded by default. You think about auth, permissions, egress control, identities, and blast radius when designing agentic systems
Track record of automating workflows and eliminating manual toil at an organizational level
Bias toward shipping practical, production-hardened solutions over prototypes and proofs of concept

Job Responsibility

Architect and build a centralized AI platform that plugs into Bilt's ecosystems
Build and maintain hardened sandbox environments for autonomous code execution with persistent storage, snapshot/restore, and security isolation
Design and implement custom sub-agents, skills, and steering guidelines that encode Bilt-specific domain knowledge and architectural patterns into agentic workflows
Wire AI tooling into our SDLC
Build integrations that extend AI capabilities to non-engineering teams (Slack bots, database query agents, session replay ingestion, telemetry analysis) and automate ops workflows
Evaluate and integrate third-party agentic tools and platforms, ensuring they are a good fit for Bilt's systems and infrastructure
Define and document engineering standards and best practices for AI-assisted work across the org

What we offer

Competitive salary with a meaningful stake in the company via equity and our performance bonus program
Health insurance for you (& your loved ones) from day one - Enjoy a One Medical Membership, wellness stipends, family programs and more, on us
401k plan with a match
Commuter FSAs
UNLIMITED PTO
Exclusive Employee only Bilt Points
Team Events

Fulltime

Principal Software Engineer - Azure Blob Storage

The Azure Blob Storage team is focused on building the data foundation that supp...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of experience in designing and developing reliable, high-performance distributed systems with a strong focus on scalability and resilience
Demonstrated experience with distributed systems and large-scale storage, including solving complex systems problems and working on storage internals such as availability, remote replication, durability schemes, and high-performance I/O
Practical knowledge in one or more technical domains: database internals, indexing and search techniques, caching and data placement strategies, and metadata/namespace management at scale
Ability to influence technical direction and contribute to architecture decisions across teams, fostering collaboration and innovation

Job Responsibility

Design and deliver next-generation distributed storage systems optimized for AI/ML workloads, from training to inferencing
Provide technical leadership across architecture, development, testing, and deployment at hyperscale
Drive innovations in scalability, performance, security, and efficiency to meet the demands of zettabyte-scale storage
Collaborate with cross-functional teams — from AI researchers to cloud infrastructure engineers — to ensure storage meets the needs of cutting-edge AI workloads
Mentor and guide other engineers, fostering a culture of technical excellence, innovation, and collaboration
Continuously evaluate emerging technologies and trends to anticipate the future of AI-native storage

Fulltime

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000 (Object St...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Information Systems, or equivalent
15+ years of experience in a product development environment on storage/system engineering
Track record of delivering V1 products (or early-stage product development) in modern storage technologies (Object/File storage for modern AI use-cases, Object storage, cloud storage)
Evidence of advancing storage technologies – new segment, industry standards/conference contributions
Experience concurrently driving technology development/delivery of multiple scrum teams
A track record of establishing and assuring adherence to performance requirements, work plans, and schedules for significant engineering initiatives
Excellent communications and interpersonal skills
Experience architecting, designing, and developing innovative software system design tools and languages
Excellent analytical and problem-solving skills
Experience in leading overall architecture of software systems for products and solutions

Job Responsibility

Develops organization-wide architectures, strategies, and methodologies for software systems design and development across multiple platforms and organizations within the Global Business Unit
Identifies and makes informed recommendations regarding new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value
creates plans for integration and update into architecture
End-to-End Ownership and Technical Leadership
Anticipate bottlenecks and architect innovative solutions
Drive best practices and operational excellence both at the team and organizational level
Reviews, evaluates, and influences designs and project activities for compliance with development guidelines and standards
Provides tangible solutions that improve product quality and mitigate failure risk
Contributes to domain expertise, business acumen, and experience to influence decisions of executive business leadership, outsourced development partners, and industry standards groups
Brings creativity and innovation to the organization

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

AI Engineer for Storage Domain

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
September 15, 2025

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