About this opportunity
Hewlett Packard Enterprise lists this Finance Transformation Data/AIML Engineer opportunity in spring hills, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Finance Transformation Data/AIML EngineerThis 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. We have the flexibility to manage our work and personal needs. We are looking for an AI & Automation Engineer (Contractor) to join our Digital Transformation / Automation team and support the design, development, integration, and production deployment of enterprise AI and automation solutions.
The role will work closely with the Lead Automation Architect, business teams, data engineering teams, and enterprise technology teams to convert business requirements into scalable, secure, and production-ready solutions.
The ideal candidate should be comfortable owning development from requirements and technical design through testing, deployment, and production support.
Design and develop enterprise AI, GenAI, Agentic AI, ML, and automation solutions.
Build applications and services using Python and modern API/framework technologies.
Develop AI agents and workflows using LLMs, prompt engineering, tool/function calling, RAG, and enterprise data sources.
Integrate solutions with enterprise applications like Databricks, SailPoint, Okta, Atlas etc.
Develop and integrate solutions using Azure services, including Azure OpenAI and related cloud services.
Work with Databricks datasets and data pipelines for AI/ML and analytical use cases. Having knowledge of ML based forecasting and different ML Models
Support integration with enterprise platforms such as Salesforce, SAP, Anaplan, Power BI, ServiceNow, and other business systems, where required.
Implement authentication and authorization using enterprise identity solutions such as Okta, Entra ID / Azure AD, OAuth, and role-based access controls.
Perform unit testing, integration testing, regression testing, and support business UAT.
Support deployment across Development, Test/UAT, and Production environments.
Troubleshoot application, integration, infrastructure, and data issues.
Follow enterprise standards for security, logging, monitoring, exception handling, source control, and deployment.
Prepare required technical documentation including solution design, deployment instructions, support documentation, and test evidence.
Work independently while providing clear progress updates, risks, dependencies, and blockers.
Responsible for conducting advanced research in AI and machine learning. This includes staying up to date with the latest advancements in the field, exploring emerging technologies, and identifying opportunities to apply cutting-edge techniques to solve complex business problems.
Tasked with designing and architecting AI solutions for complex problems. This involves analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms.
Responsible for considering scalability, performance, and maintainability while designing the solution.
This includes sharing best practices, reviewing code and designs, and helping team members overcome technical challenges. Works closely with stakeholders, such as product managers, data scientists, and business analysts, to understand their requirements and translate them into technical solutions. Collaborate with cross-functional teams to ensure alignment and successful AI and machine learning project implementation.
Responsible for driving continuous improvement and innovation in the organizations AI and machine learning practices. Be involved in evaluating and integrating third-party tools or services that can enhance the capabilities of AI solutions.
Facilitates design review sessions for your projects, ensuring alignment with project requirements and best practices.
Collaborates closely with the engineering manager and team lead to refine and iterating on design and implementation strategies, providing constructive feedback to peers.
May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods
May be involved in the design and development of solutions to complex application problems, system administration issues, or network concerns, where applicable to the role.
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning. Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics.
A strong foundation in mathematics and statistics. Understanding and developing complex machine learning models and algorithms.
Proficiency in programming languages such as Python, R, or Java is expected. Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Git), and software development methodologies are also required. Advanced knowledge and experience in deep learning. Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning.
Actively staying updated with the latest AI and machine learning research advancements. Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.
Strong hands-on experience with Python.
Experience developing enterprise applications or automation solutions including deployment of solutions to cloud servers
Experience with CI/CD and production deployment practices.
Hands-on experience with Generative AI / LLM-based application development.
Prompt engineering and structured LLM outputs.
Experience with Azure OpenAI or comparable enterprise LLM platforms.
Experience working with Microsoft Azure.
Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
Azure Container Apps / App Service / Functions.
Docker and container-based application deployment.
5+ years of overall software engineering / automation / data / AI development experience.
~ Minimum 3+ years of strong Python development experience.
~ Demonstrable hands-on experience delivering enterprise applications or automation solutions.
~ Recent hands-on exposure to GenAI/LLM-based application development strongly preferred.
Bachelors or Masters degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline. 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.
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 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 have the flexibility to manage our work and personal needs. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. 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. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.