Generative AI Engineer

BU Consultants; India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

BU Consultants seeks a Principal Manager, Tech – Generative AI to lead the design, development and deployment of cutting-edge AI applications in a fully remote setup. You will guide model selection, architecture, and delivery while partnering with product, data, and engineering teams.

Finalize AI solutions, mentor engineers, and drive rapid adoption of new technologies to meet business goals and maintain high technical standards across global workstreams.

Qualifications

• Bachelor's or Master's degree in Computer Science or related technical discipline.
• 7–18 years of relevant industry experience.
• Strong proficiency in Python including coding and debugging.
• Prior exposure to Generative AI projects, technologies and frameworks.
• Strong problem-solving and analytical abilities.

Responsibilities

• Lead the end-to-end development and implementation of Generative AI applications.
• Identify suitable Generative AI models, frameworks and technologies for business and technical requirements.
• Collaborate with cross-functional teams to understand workflows and propose AI solutions.
• Develop and implement AI-powered tools, assistants and custom AI components.
• Drive developer productivity and process efficiency through Generative AI adoption.
• Enable integration of internal data and services with Large Language Models (LLMs).
• Oversee technical projects, ensuring timely delivery and alignment with specifications.
• Evaluate emerging AI technologies and encourage experimentation and improvement.
• Mentor and lead engineering teams while maintaining a productive environment.
• Coordinate with stakeholders and facilitate collaboration across departments.
• Communicate technical solutions, project progress and recommendations effectively.

Skills

Python

Generative AI

Leadership

Team management

Stakeholder management

Communication

Education

Bachelor's or Master's degree in Computer Science

Job description

Principal Manager, Tech – Generative AI (GAI)

Experience:

7–18 Years

Locations:

Remote

Employment Type:

Full-time

Key Responsibilities

• Lead the end-to-end development and implementation of Generative AI applications.
• Identify suitable Generative AI models, frameworks and technologies for business and technical requirements.
• Work closely with different teams to understand their workflows, identify opportunities and propose effective AI solutions.
• Develop and implement AI-powered tools, assistants and custom AI components.
• Drive developer productivity and process efficiency through Generative AI adoption.
• Enable integration of internal data and services with Large Language Models (LLMs).
• Oversee technical projects, ensuring timely delivery and alignment with project specifications.
• Evaluate emerging AI technologies and encourage experimentation and continuous improvement.
• Solve complex technical challenges and support rapid adoption of new technologies.
• Manage, mentor and lead engineering teams while maintaining a productive working environment.
• Coordinate with stakeholders and facilitate collaboration across departments.
• Communicate technical solutions, project progress and recommendations effectively.

Required Skills and Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical discipline.
• 7–18 years of relevant industry experience.
• Strong proficiency in Python, including coding and debugging.
• Prior exposure to Generative AI projects, technologies and frameworks.
• Strong problem-solving and analytical abilities.
• Ability to learn and implement new technologies quickly.
• Minimum 1 year of people and team management experience.
• Experience leading a team of at least 2 members.
• Strong interpersonal, stakeholder management and communication skills.

Preferred Skills

• Experience managing and working with global and diverse teams.
• Generative AI-related academic qualifications or certifications.
• Experience building AI-powered developer tools and productivity applications.
• Exposure to LLM integration, AI infrastructure and enterprise AI adoption.