Job details

AI Engineer, Agentic Orchestration

Description -

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role

As a Senior AI Engineer in HP IQ’s AI Platform team, you’ll be responsible for designing and implementing the intelligent orchestration layer that powers CosmOS—HP’s agentic AI operating system. You will help develop the memory systems, context graphs, and toolchain infrastructure that enable LLM-driven agents to plan, act, and adapt to real-world user workflows.

This is a hands-on role working closely with technical leadership to prototype, scale, and productize multi-agent systems. The ideal candidate brings strong systems thinking, deep experience with LLMs or agentic architectures, and a passion for building intelligent, real-time user experiences.

What You Might Do

Design and build orchestration infrastructure for LLM-based agents, spanning tool routing, memory context, and planning logic
Collaborate with modeling and UX teams to define behavior, context handoff, and interaction patterns across modalities and form factors
Implement personalized memory systems that span sessions and persist across devices
Integrate with third-party LLM APIs (e.g., OpenAI, Claude) and optimize prompt strategies for planning and decision making
Prototype and deploy agentic frameworks (e.g., LangChain, ReAct, AutoGPT) in a production-grade system
Contribute to the overall system design and technical direction of CosmOS’ agent stack
Design and run experiments to fine-tune and evaluate LLM-based agents on real-world tasks, iterating to improve performance and reliability
Contribute to model curation, including dataset generation, labeling strategies, and quality checks that support personalized and contextual agent behavior
Apply model optimization techniques such as pruning and quantization to improve on-device performance and reduce latency

Essential Qualifications

7+ years of software engineering experience, with 3+ years building AI/LLM agent systems, planning pipelines, or orchestration frameworks
BS or MS in Computer Science, Artificial Intelligence, or a related field
Strong programming expertise in Python and/or TypeScript, with experience in scalable backend systems
Familiarity with agentic frameworks (LangChain, OpenAI Function Calling, etc.) and graph-based memory or planning structures
Proven ability to ship production-grade software in complex system environments
Experience in model development workflows—including data curation, fine-tuning, evaluation, and iteration to improve model quality. Ability to independently run experiments to optimize models for performance and utility.

Preferred Skills

Experience with multi-agent architectures and long-term context tracking
Background in symbolic planning, knowledge graphs, or retrieval-augmented generation
Familiarity with cloud-native deployment environments (Docker, Kubernetes, AWS/GCP)
Contributions to open-source agentic systems or ML infrastructure stacks
Experience optimizing LLM-based systems for latency, interpretability, and reliability
Hands-on knowledge of model compression and efficiency techniques, including model pruning and quantization

The pay range for this role is $146,650 to $220,850 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
[https://hpbenefits.ce.alight.com/])

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 -

Software

Schedule -

Full time

Shift -

No shift 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 you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

Average salary estimate

$183750 / YEARLY (est.)

min

max

$146650K

$220850K

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