AI Architect

This job is with HP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. 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'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"
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