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.