Agentic AI Engineer

Hewlett Packard Enterprise; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Hewlett Packard Enterprise in India seeks an Agentic AI Engineer to lead the design and execution of advanced AI solutions using ML and NLP, building scalable language processing systems and optimizing predictive algorithms.

You will mentor senior researchers, drive large-scale projects with minimal oversight, and document research processes to accelerate innovation across the organization.

Qualifications

• Bachelor's degree in engineering, computer science, information technology or a related field.
• 10+ years of experience in AI, ML or NLP roles.
• Proven ability to architect large-scale AI systems and lead complex projects.

Responsibilities

• Lead design and execution of advanced AI solutions using ML and NLP.
• Architect large-scale language processing systems and optimize algorithms.
• Mentor senior researchers and drive cross-functional collaboration.
• Document research processes and share findings across the organization.
• Lead and architect projects with minimal oversight.

Skills

Python

Machine Learning & Deep Learning

Natural Language Processing (NLP)

Generative AI & LLMs

AI Ethics

Product Thinking

Collaboration & Communication

Analytical skills

AI agents - agentic systems

Critical Thinking

Education

Bachelor’s degree in engineering, computer science, information technology or a related field

10+ year of experience

Tools

Data Engineering

MLOps

Cloud Platforms

Algorithm Design

Job description

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

• 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.

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