AI Engineer for Storage Domain Jobs

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

New

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

Head of Infrastructure & Security

Bioptimus is building the first universal AI foundation model for biology to fue...

Location

France , Paris

Salary:

Not provided

Bioptimus

Expiration Date

Until further notice

Requirements

8+ years of experience in IT
At least 3-4 years in a leadership role responsible for setting strategy and managing a team in a fast-growing tech company
Deep, hands-on experience managing AWS-based corporate cloud environments
Experience with identity and access management (IAM), networking, and infrastructure-as-code principles
Demonstrable experience building a corporate security program from the ground up
Successfully led an organization through at least one major compliance audit (e.g., SOC 2, ISO 27001)
Proven ability to automate IT operations
Skilled at communicating complex technical concepts to non-technical stakeholders, managing a budget effectively, and aligning IT initiatives with strategic business goals
Comfortable with ambiguity and thrives in a fast-paced environment as both a strategist and a hands-on implementer

Job Responsibility

Define the vision and strategy for the company’s IT infrastructure and policies
Own direction for key domains: cloud engineering, data management, security, and IT services
Collaborate with senior leadership to identify technology needs and prioritize projects
Design, implement, and optimize scalable and cost-efficient cloud and computing solutions
Establish robust practices for cloud infrastructure monitoring, performance tuning, and cost management
Implement comprehensive security protocols to safeguard company data, IP, and systems
Ensure practical and efficient roll out of security compliance with relevant industry standards and regulations
Develop a reliable and secure data infrastructure to support large-scale AI model training and deployment
Establish policies and tools for effective data storage, retrieval, and usage
Oversee company-wide IT services, including hardware procurement, employee onboarding, and IT support

What we offer

Meaningful stake in the company's future

Fulltime

Senior/Architect Data Engineer

We are seeking a highly skilled and experienced Senior/Architect Data Engineer t...

Location

Poland , Warsaw; Poznań; Lublin; Katowice; Rzeszów

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience architecting solutions on the Databricks Lakehouse using Unity Catalog, Delta Lake, MLflow, Model Serving, Feature Store, AutoML, and Databricks Workflows
Expertise in real-time/low latency model serving architectures with auto-scaling, confidence-based routing, and A/B testing
Strong knowledge of cloud security and governance on Azure or AWS, including Azure AD/AWS IAM, encryption, audit trails, and compliance frameworks
Hands-on MLOps skills across experiment tracking, model registry/versioning, drift monitoring, automated retraining, and production rollout strategies
Proficiency in Python and Databricks native tooling, with practical integration of REST APIs/SDKs and Databricks SQL in analytics products
Familiarity with React dashboards and human-in-the-loop operational workflows for ML and data quality validation
Demonstrated ability to optimize performance, reliability, and cost for large-scale analytics/ML platforms with strong observability
Experience leading multi-phase implementations with clear success metrics, risk management, documentation, and training/change management
Domain knowledge in telemetry, time series, or industrial data (aerospace a plus) and prior work with agentic patterns on Mosaic AI
Databricks certifications and experience in enterprise deployments of the platform are preferred

Job Responsibility

Lead the design and implementation of a Databricks-centric multi-agent processing engine
Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows
Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines
Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning
Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance
Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards
Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs)
Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards
Lead change management, training, and knowledge transfer while managing a parallel shadow processing path
Plan and coordinate phased delivery, success metrics, and risk mitigation

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses (up to PLN6,000)
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring from assigned technical leader
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Director of Engineering

This role involves driving the strategy, development, and seamless integration o...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven leadership experience in systems integration around Private Cloud Solutions and related domains
expertise in Kubernetes, containers, microservices, and cloud-native architectures
strong expertise in systems engineering principles, design, and technologies, with demonstrated experience in managing complex engineered systems
understanding of cloud security principles and identity management tools such as Keycloak
experience in DevOps practices, CI/CD pipelines, and continuous integration
familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack)
exceptional analytical and problem-solving skills, especially in navigating AI, private cloud-specific, and partner-driven challenges
experience in Agile methodologies, particularly Scrum and SAFe frameworks
track record in managing complex technical projects and cross-functional teams
understanding and application of core storage, compute and networking technologies along with Virtualization, Microservices, Distributed Systems Architecture etc.

Job Responsibility

Lead engineering teams, promote innovation, collaboration, and improvement
manage design, architecture, integration, release, and lifecycle of complex systems for compatibility, performance, and reliability
develop integration strategies for Private Cloud Solutions aligned with organizational goals
lead strategic initiatives to automate cloud operations, upgrades, and deployments
manage cloud security strategies and ensure comprehensive identity and access management practices
implement systems to monitor performance, ensuring reliability, scalability, and security of integrated private cloud solutions
enforce strict standards for production readiness and release
ensure adherence to internal and industry security and operational standards
work with business stakeholders, technical leaders, cross-functional teams, and development teams to identify integration challenges, integrate hardware and software, and propose solutions for private cloud implementations
implement and sustain Agile practices, process workflows, and documentation frameworks for systems integration

What we offer

Health & Wellbeing
personal & professional development
unconditional inclusion

Fulltime

Senior Data Engineer ETL Lead

The Sr Data Engineer ETL Lead is a senior level position responsible for establi...

Location

United States , Irving

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree in Computer Science or equivalent /University degree or equivalent experience
Data Warehouse/ETL design and development methodologies knowledge and experience required
ETL expertise on AbInitio tool (EME, GDE, Co-op) bringing together all components like Unix, Oracle, Storage

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave and paid holidays

Fulltime

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

Looking for more opportunities? Search for other job offers that match your skills and interests.

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AI Engineer for Storage Domain

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Location:India, Bangalore

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Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:September 15, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI Engineer for Storage Domain

AI Lead Engineer

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Location:
India, Bangalore

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Job Posted:
September 15, 2025