Level

HP

Agentic AI Engineer

AI in this role

ai-agentsml-opsnlpspeech
Agentic AI Engineer

Description -

Job Summary
This role is responsible for leading the design and execution of advanced AI solutions using ML and NLP, solving highly complex problems through experimental research and deep technical expertise. It involves architecting large-scale systems for language processing, optimizing predictive algorithms, mentoring senior researchers, and applying expert judgment to drive innovation with minimal oversight.
Responsibilities

• Solve highly complex problems using advanced AI technologies such as ML and NLP.
• Conduct experimental research with extensive experience to identify groundbreaking solutions.
• Apply deep expertise to resolve highly complex issues creatively and effectively.
• Analyze situations or data requiring deep expertise and innovative solutions.
• Lead and architect large-scale projects or processes with minimal oversight.
• Develop and implement cutting-edge systems for language translation, sentiment analysis, and speech recognition.
• Optimize and innovate algorithms for machine learning and predictive analytics.
• Document and share research processes and findings across the organization.
• Mentor and guide senior researchers on highly complex projects.
•Exercise expert judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
Education & Experience Recommended
• 10+ year of experience
• Bachelor’s degree in engineering, computer science, information technology or a related field.
Preferred Certifications
• N/A.
Knowledge & Skills
• Programming Languages
• Python (Programming Language)
• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
• Data Engineering
• MLOps
• Cloud Platforms
• Algorithm Design
• Generative AI & LLMs
• AI Ethics
• Product Thinking
• Collaboration & Communication
• Analytical skills
• AI agents - agentic systems
• Statistical Modeling
• Critical Thinking.
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
• Provides highly innovative solutions to complex problems within established policy.
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.


#LI-POST

Job -

Software

Schedule -

Full time

Shift -

No shift premium (India)

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.

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"

How we rate this

Agentic AI Engineer at HP rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsML OpsNLPSpeech

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What have you built with speech recognition or text-to-speech, and where did it break?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: AI Agents, ML Ops, NLP, and Speech. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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