Director – AI Engineering

GE Vernova

. Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts .

Posted 11/11/2026full-timeBengaluru • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in prompt engineering and LLM technology, with a strong foundation in Python and machine learning frameworks. Proven leadership in managing software engineering teams and driving strategic initiatives in energy transition and decarbonization.

Highest-signal resume keywords

Prompt EngineeringPython ProgrammingPeople ManagementMachine Learning FrameworksExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt DevelopmentMachine LearningData ProcessingNLPProblem-SolvingAttention to DetailSoftware DevelopmentVersion ControlFramework DevelopmentTechnical Documentation

Soft Skills

CollaborationAdaptabilityLeadership

Tools & Technologies

OpenAI GPT ModelsHugging FacePyTorchPandasNumPyGit

Certifications & Qualifications

Master’s DegreePhD Degree

Industry Keywords

Energy TransitionElectrificationDecarbonizationSoftware EngineeringTechnical Concepts

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorch

About the role

Key responsibilities & impact

Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts
Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs
Work closely with software developers to integrate LLM solutions into existing or new applications
Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units
Assist in gathering and analyzing user feedback to continually improve prompt effectiveness
Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection
Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base
Drive strategy and lead research and development efforts supporting energy transition, electrification, and decarbonization

Requirements

What you’ll need

Master’s/ PhD degree in Computer Science, Engineering, Mathematics, or related field with 15+ years' relevant experience
5+ years of experience in people management, with demonstrated success leading and scaling software engineering organizations
Experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
Proficiency in Python or other programming languages commonly used in AI/ML development
Strong problem-solving skills and attention to detail
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Ability to work collaboratively in a team environment and adapt to changing project requirements
Candidate must be willing to travel a minimum of 2 weeks per year
Experience with machine learning frameworks such as PyTorch and data processing libraries such as Pandas and NumPy
Previous experience or internships involving NLP or machine learning projects
Familiarity with version control systems like Git
Understanding of traditional industry operations and challenges

Benefits

Comp & perks

Relocation Assistance Provided
Opportunity to work at the intersection of advanced technology and traditional industry
Opportunity to make a tangible impact on business processes