# AI Engineering - Solutions Architect

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Data-Scientist--AI-and-Machine-Learning-_1214689-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_97ba0019-f50

## Description

We are seeking an experienced AI Engineering - Solutions Architect to join our Digital Experience & Automation (DEA) team at Hewlett Packard Enterprise. As a Solutions Architect, you will lead the development of scalable AI solutions using relevant AI techniques, architect large-scale AI solutions, and mentor junior team members.

Responsibilities:

- Lead the development of scalable AI solutions using relevant AI techniques

- Architect large-scale AI solutions that seamlessly merge AI models and techniques in SDLC

- Organize and lead comprehensive code and design review sessions

- Conduct research and stay up-to-date with the latest advancements in AI and machine learning technologies

- Collaborate with cross-functional teams to understand business requirements and design AI and machine learning solutions

- Develop, implement, and optimize machine learning models and algorithms

- Leverage or build analytics tools that utilize the data pipeline to provide significant insights

- Build the infrastructure required for optimal extraction, transformation, and loading of data

- Work with data and analytics specialists to strive for greater functionality in our data systems

- Identify trends and patterns from datasets to scope opportunities for automation

- Deploy machine learning models into production environments

- Integrate models with existing software systems and infrastructure

- Monitor the performance of deployed models and collect relevant metrics

- Provide technical leadership, mentorship, and guidance to junior team members

- Develop and deliver strategic presentations and reports to senior stakeholders

Requirements:

- 11+ years of experience in a Data science role

- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field

- 6+ years of experience building data pipelines for data science-driven solutions and deploying multiple solutions in production environments

- In-depth knowledge of one or more AI technologies: Classical ML, NLP, Gen AI, Agentic AI, MCP, etc.

- Experience working in a technical support environment, working with datasets from CRM, hardware and software 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 datasets

- 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

- Strong hands-on coding skills (preferably in Python)

- A strong foundation in mathematics and statistics

- Good knowledge of 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

- 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

- 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.

## Skills

### Required
- Python
- Machine Learning
- Natural Language Processing
- Generative AI
- Classical ML
- Agentic AI
- MCP
- Databricks
- Snowflake
- AWS
- S3
- Spark
- Kafka
- Elastic Search
- Hadoop
- SQL
- NoSQL
- Postgres
- Cassandra

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Data-Scientist--AI-and-Machine-Learning-_1214689-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)