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Hewlett Packard Enterprise

AI Engineering - Solutions Architect

LocationBengaluru, Karnātaka, India
Work modeon-site
Typefull-time
SeniorityLead
Experience11+ yrs
DepartmentEngineering
Company size10,000+ people
First seenSep 30, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have27
11+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
6+ years experiences building data pipelines for data science-driven solutions
Deployed multiple solutions in Production environment
In depth knowledge in one or more AI technologies: Classical ML, NLP, Gen AI, Agentic AI, MCP
Experience working in technical support environment
Experience working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large, disconnected datasets
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
A strong foundation in mathematics and statistics. In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Good knowledge on Software Development Life Cycle (SDLC) and Agile principles
Experience working with Large Language models, Generative AI, Conversational AI
Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, NLP libraries
Experience working with Databricks, Snowflake platforms
Experience with AWS, S3, Spark, Kafka, Elastic Search
Experience with big data tools: Hadoop, Spark, Kafka
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming
Skills
Python
NumPy
Scikit-Learn
MLlib
TensorFlow
NLP libraries
Databricks
Snowflake
AWS
S3
Spark
Kafka
Elastic Search
Hadoop
Postgres
Cassandra
EC2
EMR
RDS
Redshift
Storm
Spark-Streaming
Benefits
Health insurance
Unconditional inclusion
About the role
AI Engineering - Solutions ArchitectThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett 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.
Job Description:
Job Family Definition:
At HPE Networking, the Digital Experience & Automation (DEA) team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in innovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.
DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.
Management Level Definition:
Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.
What You’ll Do:
•
Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
•
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
•
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members.
•
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models.
•
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness.
•
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy.
•
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics.
•
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
•
Work with data and analytics specialists to strive for greater functionality in our data systems.
•
Identify trends, patterns from dataset to scope opportunities for automation
•
Deploys machine learning models into production environments, considering scalability, performance, and security considerations.
•
Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability.
•
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement. Based on insights gained from monitoring and analysis, fine-tune models, optimize algorithms, and enhance system performance.
•
Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals.
•
Regularly leads meetings, fostering a collaborative and productive team environment.
•
Has experience in providing technical leadership, mentorship, and guidance to junior team members.
•
Address and resolve challenges proactively.
•
Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects. Provide insights and recommendations.
•
Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.
What You Need to Bring:
•
We are looking for a candidate with 11+ years of experience in a Data science role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
•
6+ years experiences building data pipelines for data science-driven solutions and deployed multiple solutions in Production environment
•
In depth knowledge in one or more AI technologies: Classical ML, NLP, Gen AI, Agentic AI, MCP etc.
•
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
•
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment.
•
Good team worker with excellent interpersonal, written, verbal and presentation skills
•
Experience building and optimizing data pipelines, architectures and data sets.
•
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
•
Strong analytic skills related to working with unstructured datasets.
•
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
•
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
•
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
•
Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
•
A strong foundation in mathematics and statistics. In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts. Understanding and developing complex machine learning models and algorithms.
•
Good knowledge on Software Development Life Cycle (SDLC) and Agile principles
•
Experience working with Large Language models, Generative AI, Conversational AI
•
Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, NLP libraries
•
Experience working with Databricks, Snowflake platforms
•
Experience with AWS, S3, Spark, Kafka, Elastic Search
•
Experience with big data tools: Hadoop, Spark, Kafka, etc.
•
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
•
Experience with data pipeline and workflow management tools
•
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
•
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
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.
#india
#networking
Job:
Engineering
Job Level:
TCP_04
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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