Job Overview

HP is hiring an Agentic AI Engineer in Bengaluru for a senior-level software engineering role focused on advanced artificial intelligence, machine learning, natural language processing, and agentic systems. The position is designed for an experienced AI professional who can solve complex technical problems, lead large-scale initiatives, conduct experimental research, and translate advanced AI concepts into practical solutions.

The role combines hands-on technical expertise with architectural thinking and research-driven problem solving. The selected professional will work with advanced AI technologies to create systems capable of language processing and other intelligent capabilities. The position also requires strong judgment, analytical thinking, innovation, and the ability to work with limited supervision while influencing broader technical direction.

Key Responsibilities

• Design and lead advanced AI solutions for complex business and technical problems using machine learning, deep learning, NLP, and related technologies.
• Architect large-scale AI systems and guide the technical approach for complex projects with minimal oversight.
• Conduct experimental research to investigate new methods, technologies, and approaches for solving challenging AI problems.
• Develop intelligent language-processing solutions involving areas such as language translation, sentiment analysis, and speech recognition.
• Improve machine learning and predictive analytics algorithms through experimentation, optimization, and evaluation.
• Apply statistical and analytical methods to understand complex data and improve AI solution quality.
• Evaluate technical approaches, select appropriate methods, and establish suitable evaluation criteria for research and engineering outcomes.
• Explore and apply generative AI, large language models, and agentic AI concepts to advanced technology solutions.
• Contribute to data engineering and MLOps practices that support reliable AI development and operationalization.
• Document technical research, development approaches, findings, and relevant lessons for knowledge sharing across the organization.
• Mentor and guide senior researchers and technical professionals working on complex AI initiatives.
• Collaborate across functions and communicate technical findings, recommendations, and solution strategies to relevant stakeholders.

Required Skills

Candidates should have strong professional experience in AI engineering, machine learning, deep learning, and natural language processing. Strong Python programming skills are required, along with the ability to apply algorithms and statistical models to challenging AI problems.

A solid understanding of machine learning and deep learning techniques is important for developing and improving intelligent systems. Candidates should also understand NLP concepts and be comfortable working with language-focused AI applications.

The role requires knowledge of generative AI and large language models, as well as AI agents and agentic systems. Experience with designing intelligent systems that can support complex workflows is relevant to the position.

Strong analytical and critical-thinking skills are essential. The candidate should be capable of examining complex situations or datasets, identifying meaningful patterns, evaluating possible approaches, and selecting practical solutions based on evidence and technical judgment.

Preferred Skills

Experience with data engineering, MLOps, cloud platforms, algorithm design, statistical modeling, and predictive analytics will strengthen a candidate’s suitability for this role. Knowledge of AI ethics is also relevant because responsible development and appropriate use of AI systems are important considerations when building advanced intelligent technologies.

Product thinking is valuable for connecting AI capabilities with practical user and business needs. Candidates who can understand broader product objectives and translate them into technically sound AI solutions will be well suited to the position.

Experience mentoring senior researchers or technical professionals is useful, particularly for candidates who have previously led complex research or engineering programs. Strong collaboration and communication abilities are also expected.

Education

A Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field is required according to the supplied job information.

Experience

The role requires 10 or more years of professional experience. This is a senior opportunity intended for professionals with substantial expertise in AI, machine learning, NLP, and advanced software or research environments. Candidates should be capable of independently handling highly complex problems and leading significant technical projects or processes.

Required Technologies

• Python
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Generative AI
• Large Language Models (LLMs)
• Agentic AI
• AI Agents
• Agentic Systems
• Data Engineering
• MLOps
• Cloud Platforms
• Algorithm Design
• Predictive Analytics
• Statistical Modeling

Soft Skills

Strong communication is important because the role involves sharing research findings, explaining technical decisions, mentoring experienced professionals, and collaborating across organizational functions. A results-oriented approach is expected, along with learning agility and the ability to adapt as AI technologies evolve.

The successful candidate should demonstrate critical thinking, analytical ability, creativity, and sound technical judgment. Customer centricity and product thinking are also valuable for ensuring that advanced AI capabilities are connected to meaningful outcomes rather than being developed only as technical experiments.

Benefits of Working in this Role

This role provides senior-level exposure to advanced AI engineering, research, generative AI, LLMs, NLP, machine learning, and agentic systems. It offers an opportunity to influence large technical initiatives, contribute to innovative AI solutions, mentor experienced professionals, and work on complex problems requiring deep technical expertise.

Work Mode

The job posting lists the workstyle as Flex. The supplied schema does not include a Flex option, so this posting is categorized as hybrid for structured job-portal purposes.

Location

Bengaluru, Karnataka, India.

Who Should Apply

This opportunity is intended for experienced AI and machine learning professionals with at least 10 years of experience. It is particularly relevant to candidates with strong backgrounds in Python, machine learning, deep learning, NLP, generative AI, LLMs, agentic AI, data engineering, and MLOps.

Professionals who have led complex AI projects, conducted experimental research, designed large-scale intelligent systems, or mentored technical teams should consider this role. Candidates should be comfortable working independently, making technical judgments, and translating difficult AI challenges into scalable solutions.

Career Growth

The position can support continued growth toward senior AI engineering, AI architecture, machine learning leadership, applied research, and technical strategy roles. Experience with large-scale AI initiatives, agentic systems, generative AI, and cross-functional leadership can help experienced professionals expand their influence across advanced technology programs.

Application Advice

Candidates should tailor their resumes to emphasize significant AI and machine learning projects rather than listing technologies without context. Highlight experience with Python, NLP, deep learning, generative AI, LLMs, agentic AI, predictive analytics, and AI system architecture where applicable.

Include examples showing how you solved complex technical problems, improved algorithms or models, conducted research, designed scalable systems, or contributed to production-oriented AI initiatives. Also highlight experience with MLOps, cloud platforms, data engineering, statistical modeling, mentoring, and cross-functional collaboration when relevant.

For this senior role, clearly demonstrate technical ownership and decision-making ability. Evidence of leading large projects, developing innovative approaches, guiding experienced researchers, and connecting AI solutions with product or customer needs can make an application more relevant.