AI and ML Solution Architect

Hewlett Packard Enterprise

. Conduct research and stay current with advancements in AI and machine learning technologies, frameworks, and algorithms .

Posted 10/22/2026full-timeUnited StatesSeniorLead💰 $141,000 - $325,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning models and algorithms, with a strong foundation in mathematics and statistics. Proficient in Python, R, or Java, and experienced in deploying scalable AI/ML solutions while collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning AlgorithmsModel SelectionHyperparameter TuningDeep LearningPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData PreprocessingFeature EngineeringModel EvaluationStatistical ModelingData MiningNatural Language ProcessingData VisualizationProduction-Level Code DevelopmentAlgorithm Optimization

Soft Skills

Excellent CommunicationProblem-SolvingCritical ThinkingMentoringCollaboration

Tools & Technologies

TensorFlowPyTorchSci-kit LearnGitVersion Control Systems

Industry Keywords

Artificial IntelligenceMachine LearningData ScienceQuantitative DisciplineSoftware Engineering Best Practices

Tech Stack

Tools & technologies

JavaPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Conduct research and stay current with 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
Collaborate with cross-functional teams to understand business requirements and design scalable, efficient, and robust AI/ML solutions
Develop, implement, and optimize machine learning models and algorithms
Perform data preprocessing, feature engineering, model selection, hyperparameter tuning, and training on large datasets
Monitor and improve model performance and accuracy
Deploy machine learning models into production environments with scalability, performance, and security considerations
Integrate models with existing software systems and infrastructure
Monitor deployed models, collect metrics, analyze data, fine-tune models, optimize algorithms, and enhance system performance
Lead design review sessions and align discussions with project requirements and best practices
Mentor and provide feedback to junior and mid-level team members
Set design and implementation standards with the engineering manager and team lead
Lead meetings and foster a collaborative team environment
Address and resolve challenges proactively
Deliver strategic presentations and reports to senior stakeholders with insights and recommendations
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets

Requirements

What you’ll need

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically 7–10 years’ experience
Deep understanding of machine learning algorithms, including linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Proficiency in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics
Strong foundation in mathematics and statistics, including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in Python, R, or Java
Experience developing production-level code
Familiarity with software engineering best practices, version control systems such as Git, and software development methodologies
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit
Advanced knowledge and experience in deep learning, including neural network architectures, transfer learning, generative models, and optimization algorithms
Experience conducting research and applying emerging AI and machine learning technologies
Excellent communication skills
Strong problem-solving and critical-thinking abilities
Strong programming skills with expertise in Python, R, or Java
A deep understanding of statistical modeling, data mining, and data visualization is highly preferred

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career development opportunities
Flexible work arrangements to manage work and personal needs
Employee benefits offered in the US