{"id":1969005,"url":"https://alion.io/job/hewlett-packard-enterprise-finance-transformation-dataaiml-engineer","title":"Finance Transformation Data/AIML Engineer","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":154,"ghost_share":0,"stale_share":0.753,"repost_share":0.013,"time_to_fill_p50_days":32,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Spring, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":126500,"max":290500,"currency":"USD","period":"year","gross":null,"usd_annual":290500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Okta","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ServiceNow","optional":false},{"name":"TensorFlow","optional":false},{"name":"AutoGen","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"Hallucination","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Rest API","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Transfer Learning","optional":true}],"status":"live","first_seen_at":"2026-10-06T18:27:38Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T18:31:50Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":22},"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:\nHewlett 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.\nJob Description:\nWe are looking for an AI & Automation Engineer to join our Digital Transformation / Automation team and support the design, development, integration, and production deployment of enterprise AI and automation solutions.\nThe 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.\nThis is a hands-on engineering role. The ideal candidate should be comfortable owning development from requirements and technical design through testing, deployment, and production support.\nSelected candidates will work under the direction of the internal team lead, who retains ownership of the solution roadmap, architecture approvals, prioritisation, and business stakeholder relationships.\nKey Responsibilities\nDesign and develop enterprise AI, GenAI, Agentic AI, ML, and automation solutions.\nBuild applications and services using Python and modern API/framework technologies.\nDevelop AI agents and workflows using LLMs, prompt engineering, tool/function calling, RAG, and enterprise data sources.\nIntegrate solutions with enterprise applications like Databricks, SailPoint, Okta, Atlas etc.\nDevelop and integrate solutions using Azure services, including Azure OpenAI and related cloud services.\nWork with Databricks datasets and data pipelines for AI/ML and analytical use cases. Having knowledge of ML based forecasting and different ML Models\nSupport integration with enterprise platforms such as Salesforce, SAP, Anaplan, Power BI, ServiceNow, and other business systems, where required.\nImplement authentication and authorization using enterprise identity solutions such as Okta, Entra ID / Azure AD, OAuth, and role-based access controls.\nPerform unit testing, integration testing, regression testing, and support business UAT.\nSupport deployment across Development, Test/UAT, and Production environments.\nTroubleshoot application, integration, infrastructure, and data issues.\nFollow enterprise standards for security, logging, monitoring, exception handling, source control, and deployment.\n Prepare required technical documentation including solution design, deployment instructions, support documentation, and test evidence.\nWork independently while providing clear progress updates, risks, dependencies, and blockers.\nResponsible 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.\nTasked with designing and architecting AI solutions for complex problems. This involves analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms.\nResponsible for considering scalability, performance, and maintainability while designing the solution.\nProvides technical guidance and mentorship to junior team members. This includes sharing best practices, reviewing code and designs, and helping team members overcome technical challenges. Participate in technical discussions and provide thought leadership within the organization.\nWorks 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.\nResponsible for driving continuous improvement and innovation in the organization's AI and machine learning practices. This involves identifying areas of improvement, exploring new techniques or technologies, and promoting the adoption of best practices.\nBe involved in evaluating and integrating third-party tools or services that can enhance the capabilities of AI solutions.\nFacilitates design review sessions for your projects, ensuring alignment with project requirements and best practices.\nMentor junior team members during review sessions.\nCollaborates closely with the engineering manager and team lead to refine and iterating on design and implementation strategies, providing constructive feedback to peers.\nParticipates in and coordinates meetings, ensuring effective coordination and communication among team members.\nIndependently prepares and delivers detailed presentations and reports to stakeholders, translating complex technical concepts into understandable terms for non-technical audiences.\nMay be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods\nMay be involved in the design and development of solutions to complex application problems, system administration issues, or network concerns, where applicable to the role.\nKnowledge and Skills:\nDeep 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.\nA 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.\nProficiency 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. Additionally, knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras is a plus.\nAdvanced 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.\nActively staying updated with the latest AI and machine learning research advancements. Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to solve complex problems.\nProvide technical leadership, mentorship, and guidance to junior team members. Must have excellent communication skills to collaborate with cross-functional teams and stakeholders effectively. Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.\nRequired Technical Skills\nStrong hands-on experience with Python.\nStrong understanding of REST APIs and system integrations.\nExperience developing enterprise applications or automation solutions including deployment of solutions to cloud servers\nGit / GitHub or equivalent source-control experience.\nExperience with CI/CD and production deployment practices.\nHands-on experience with Generative AI / LLM-based application development.\nPrompt engineering and structured LLM outputs.\nRAG and enterprise knowledge retrieval.\nAgent / tool / function calling concepts.\n LLM evaluation, guardrails, error handling, and hallucination mitigation.\nExperience with Azure OpenAI or comparable enterprise LLM platforms.\nExperience working with Microsoft Azure.\nAgentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.\nAzure Container Apps / App Service / Functions.\nDocker and container-based application deployment.\nExperience\n5+ years of overall software engineering / automation / data / AI development experience.\nMinimum 3+ years of strong Python development experience.\n Demonstrable hands-on experience delivering enterprise applications or automation solutions.\nRecent hands-on exposure to GenAI/LLM-based application development strongly preferred.\nEducation\nBachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline. Equivalent strong industry experience may also be considered.\nAccessibility\nHPE 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.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe 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.\nUnconditional Inclusion\nWe 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.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nEngineeringJob Level:\nTCP_03\"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.- United States of America: Annual Salary USD 126,500 - 290,500 in Texas\nThe listed salary range reflects base salary. Variable incentives may also be offered.\"\nInformation about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html\nHPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. 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.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE 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.\nRecruitment Fraud Alert\nWe 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. 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