AI Architect

HP•Spring, TX

1d•$147,050 - $230,850

About The Position

AI Architect Description - This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability. Responsibilities Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring. Architect the full stack AI solution (LLMs, ML, agents, APIs, pipelines). Design multi-agent workflows for automated monitoring, anomaly detection & reporting. Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks. Integrate engineering domain data (mechanical, electrical, field, test logs). Define MLOps, model governance, observability, and monitoring strategies. Collaborate with product development & engineering teams to map use cases. Skill Set Required - AI/ML AI Architecture & LLM Large Language Models (fine-tuning, RAG, distillation) Agentic AI frameworks (OpenAI agents, LangGraph, AutoGen, CrewAI) Multimodal AI (text + time-series + telemetry + image) Knowledge Graphs (Neo4j, RDF, GraphRAG) End-to-end pipeline design Vector DBs (Pinecone, Milvus, FAISS) Cloud AI (Azure AI Studio, AWS) Microservices & API integration Machine Learning and Deep Learning ReactJS, Java Script, Streamlit, Flask MLOps MLflow, Kubeflow, Airflow Model monitoring, evaluation, CI/CD Domain Understanding product development lifecycle Familiarity with mechanical/electrical engineering data formats Education and Experience Required Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Additional Knowledge & Skills Algorithms Amazon Web Services Apache Spark Artificial Intelligence Big Data Computer Science Data Analysis Data Mining Data Science Data Visualization Natural Language Processing Predictive Modeling Python (Programming Language) SQL (Programming Language) Statistical Modeling Statistics Power Platforms - PowerBI, PowerApps Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Impact & Scope Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal" You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together. Privacy, Terms of Use, and Accessibility Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. 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Requirements

AI/ML AI Architecture & LLM
Large Language Models (fine-tuning, RAG, distillation)
Agentic AI frameworks (OpenAI agents, LangGraph, AutoGen, CrewAI)
Multimodal AI (text + time-series + telemetry + image)
Knowledge Graphs (Neo4j, RDF, GraphRAG)
End-to-end pipeline design
Vector DBs (Pinecone, Milvus, FAISS)
Cloud AI (Azure AI Studio, AWS)
Microservices & API integration
Machine Learning and Deep Learning
ReactJS, Java Script, Streamlit, Flask
MLOps MLflow, Kubeflow, Airflow
Model monitoring, evaluation, CI/CD
Domain Understanding product development lifecycle
Familiarity with mechanical/electrical engineering data formats
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Nice To Haves

Programming Language/s Certification (SQL, Python, or similar)
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Big Data
Computer Science
Data Analysis
Data Mining
Data Science
Data Visualization
Natural Language Processing
Predictive Modeling
Python (Programming Language)
SQL (Programming Language)
Statistical Modeling
Statistics
Power Platforms - PowerBI, PowerApps
Cross-Org Skills Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Responsibilities

Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring.
Architect the full stack AI solution (LLMs, ML, agents, APIs, pipelines).
Design multi-agent workflows for automated monitoring, anomaly detection & reporting.
Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks.
Integrate engineering domain data (mechanical, electrical, field, test logs).
Define MLOps, model governance, observability, and monitoring strategies.
Collaborate with product development & engineering teams to map use cases.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview)