AI Engineer

About The Department
Lexington Partners’ Data and AI team designs and delivers data, analytics, and GENAI solutions that help drive business performance across the organization. Working closely with business and technology stakeholders, the team develops innovative tools, enhances data capabilities, and integrates AI into existing digital platforms. Team members gain exposure to cutting-edge technologies, meaningful business challenges, and opportunities to influence the future of AI adoption within a global investment firm.
How You Will Add Value?
Core Responsibilities
You will design and develop GENAI solutions.
You will build scalable and reliable AI applications.
You will create proof-of-concepts to validate new technologies.
You will evaluate model performance and business value.
You will integrate AI into existing workflows.
You will support business teams with practical solutions.
You will maintain and improve deployed applications.
Strategic Responsibilities
You will research emerging AI technologies.
You will identify opportunities for innovation and automation.
You will recommend new approaches and capabilities.
You will contribute to AI product direction.
You will help shape long-term technology strategy.
Team & Collaboration
You will partner with business and technology stakeholders.
You will analyze and prepare data for model development.
You will train and optimize AI models.
You will document solutions and technical processes.
You will present findings and recommendations.
You will communicate project progress regularly.
You will take ownership of end-to-end project delivery.
What Will Help You Be Successful in This Role?
Experience, Education & Certifications
Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related discipline.
Master’s or Doctor of Philosophy degree preferred.
5–8 years of experience in AI, Machine Learning, or related fields.
Experience developing and deploying production-ready AI solutions.
Experience with data preparation, model training, and optimization.
Technical Skills
Strong understanding of Machine Learning algorithms.
Experience with deep learning frameworks.
Knowledge of statistical analysis techniques.
Proficiency in Python, R, or Java.
Experience with cloud platforms for AI development.
Ability to evaluate and improve model performance.
Soft Skills
Strong analytical and problem-solving skills.
Self-starter mindset with a bias for action.
Ability to work independently and collaboratively.
Effective stakeholder communication skills.
Strong research and learning capability.
Adaptability within fast-paced environments.
Ownership and accountability for outcomes.
Work Shift Timings - 2:00 PM - 11:00 PM IST

Work arrangement
No