Senior Data & AI Engineer

Lexington Partners is one of the world’s largest and most trusted managers of secondary private equity and co-investment funds. Since our founding in 1994, we’ve been at the forefront of innovation in private equity investing, managing over $70 billion in committed capital and partnering with a global network of institutional investors, private equity firms, and portfolio companies.

What is the Data & AI Team responsible for?

• This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. We’re looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale#MID_SENIOR_LEVEL
  
  

What is the Senior Data & AI Engineer responsible for?

The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a pivotal role in optimizing data infrastructure, enabling data-driven decision-making and integrating AI across the organization.

Key Responsibilities

• Serve as a hands-on technical lead, driving project execution and delivery in our growing team based in the Hyderabad office. Projects span dashboards, analytics, and advanced AI use cases.
• Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, data- and AI-powered solutions.
• Design and implement data models and master data management solutions for structured data (in Snowflake) and manage unstructured data using vector embeddings.
• Build, maintain, and optimize robust data pipelines and frameworks to support business intelligence and operational workflows.
• Develop dashboards and data visualizations that support strategic business decisions.
• Evaluate and prototype AI/ML solutions aligned with business objectives, especially in the area of generative AI.
• Stay current with emerging trends in data engineering, AI, and machine learning—and help implement best practices within the team.
• Mentor and support junior engineers, fostering a culture of learning and technical excellence.
  
  

What ideal qualifications, skills & experience would help someone to be successful?

• Bachelor’s or master’s degree in computer science, data science, engineering, or a related field.
• 7+ years of experience in data engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role.
• Strong SQL skills and hands-on experience with modern data pipeline technologies (e.g., Spark, Flink).
• Deep expertise in the Snowflake ecosystem, including data modeling, data warehousing, and master data management.
• Proficiency in at least one programming language—Python preferred.
• Experience working with large language models (LLMs), embeddings, and building generative AI prototypes.
• Experience with Tableau and Alteryx is a plus.
• Self-starter with a passion for learning new tools and technologies.
• Strong communication skills and a collaborative, ownership-driven mindset.
  
  

Work Shift Timings - 2:00 PM - 11:00 PM IST