Senior ISV AI Technical Architect
Senior ISV AI Technical Architect
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1 Vacancy
Job Description
Description
The Commercial Systems Software team is in search of a driven individual who can design comprehensive advanced technology solutions to support the organizations strategic goals and objectives with a particular emphasis on the integration of AI models (e.g. LLMs Classification RL etc. into AI PCs. The role involves developing innovative technological solutions that facilitate the efficient scaling of strategic initiatives across business units. A strong focus on secure software development and operational excellence is required utilizing Agile methodologies to create solutions that differentiate us in the market.
Key Responsibilities:
Plays a leading role in development of AI integration projects while aligning them with business and security strategies and requirements.
Leads the building of standards designs automation and the deployment of software within the context of AI model integration in production environments.
Designs and develops end to end solutions that protects and manage AI integration software products and data.
Drives technology strategy and engineering roadmaps around AI integration software engineering ensuring scalability efficiency secure data communication and alignment with business objectives.
Assists supervisors with project development including documentation of features recording of progress and creation of the testing plan.
Converts business concepts into the next generation of applications and tools utilizing adaptive agile methodologies to deliver a minimal viable product to the business.
Provides mentorship and technical guidance to software development team.
Works closely with crossfunctional teams including product management and design to drive product and software features from concept to deployment.
Contributes innovative ideas and exercising independent judgment to solve unique and complex problems impacting the business.
Education & Experience Recommended:
Fouryear or Graduate Degree in Computer Science Information Technology Software Engineering or a related discipline equivalent work experience.
Typically has 12 years of industry experience with a proven track record in AI/ML engineering AI model integration optimization and largescale software development particularly within AIdriven application and hardware systems.
Preferred Certifications
Programming Language/s Certification (Java C Python JavaScript or similar)
Knowledge & Skills:
Core AI/ML/DL/RL Expertise
Comprehensive knowledge of machine learning (ML) deep learning (DL) and reinforcement learning (RL) techniques with proven experience in deploying ML DL and RL models into productiongrade environments ensuring high performance scalability and reliability.
LLMSpecific Skills
Proficiency in LLM finetuning using stateoftheart techniques such as:
ParameterEfficient FineTuning (PEFT).
LoRA (LowRank Adaptation) adapters and prompt tuning.
Merge techniques like superposition and weight merging to optimize LLM performance across variants.
Strong expertise in retrievalaugmented generation (RAG) workflows including:
Building and managing vector databases (e.g. Pinecone FAISS Weaviate Qdrant) for knowledge retrieval.
Integrating knowledge retrieval systems into LLM pipelines.
Implementing agentic workflows for task automation using tools like LangChain or LlamaIndex.
Experience in designing and deploying agentbased systems with autonomous task and reasoning.
Multimodel workflow development and integration experience
AI/ML Frameworks and Tools
Proficiency in data preprocessing training and finetuning models using frameworks such as:
TensorFlow PyTorch and lightweight inference frameworks: ONNX OpenVINO QNN TensorFlow Lite Libtorch.
Specialized tools: Hugging Face Transformers Keras Scikitlearn JAX.
Expertise in distributed training techniques leveraging tools like Horovod Ray or Dask.
Experience with Unsloth for debugging and optimizing model latency and throughput during inference workflows.
MLOps Skills
Advanced skills in MLOps practices to support AI/ML pipelines including:
Model versioning and tracking: MLflow Weights & Biases
CI/CD pipelines for ML workflows: Kubeflow Vertex AI SageMaker Pipelines Airflow.
Proficiency in containerization and orchestration including:
Docker: Containerizing AI/ML applications with complex dependencies.
Kubernetes (K8s): Deploying scaling and managing ML workflows in distributed systems.
Helm: Packaging and deploying Kubernetes applications.
Experience in implementing microservices architectures for modular scalable and interoperable AI/ML solutions.
Programming and Development Skills
Proficiency in Python for Data Science and at least two of the following languages:
C C# C Java or Rust.
Experience with onedge inference techniques and deploying models across diverse environments including cloud onprem and edge devices.
Handson experience with application development using frameworks like:
UWP WPF WinUI3 WebView2 React Native or equivalent.
AIPowered System Integration Skills
Expertise in integrating AI solutions within AIpowered PCs or edge devices ensuring performance optimization at the hardwaresoftware interface level.
Familiarity with hardware accelerators (e.g. TPUs GPUs MPUs) for efficient AI model training and inference.
Soft Skills and Collaboration
Strong ability to collaborate across engineering product and data science teams to deliver endtoend AI solutions.
Exceptional problemsolving and analytical skills with a focus on designing scalable and impactful AIdriven applications.
CrossOrg Skills
Strong leadership results driven and excellent verbal and written communication skills with the ability to convey technical concepts to nontechnical stakeholders.
Selfmotivated with strong analytical and problemsolving skills with the ability to tackle complex AI challenges creatively.
Advanced learning agility and digital fluency
Customer driven
Impact & Scope
Impacts key strategic AI initiatives across the business driving AI model innovation and integration at the enterprise level. Leads crossfunctional teams and projects that span multiple business units.
Complexity
Provides highly innovative and strategic solutions to complex challenges directly shaping the future of AI initiatives and their integration into nextgeneration products.
The base pay range for this role is $ 154000.00 to 223300.00 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location jobrelated 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;
412 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
SoftwareSchedule
Full timeShift
Shift 1 0 premium (United States of America)Travel
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.
If youd like more information about HPsEEO Policyor your EEO rights as an applicant under the law please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law Supplement
Required Experience:
Senior IC
Employment Type
Full-Time
