Digital & AI/ML Lead Engineer (Senior 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 AI Engineer team responsible for?

As a Senior AI Engineer, you’ll be a key member of the Data & AI team at Lexington Partners. 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.

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 crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL

What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for?

• Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office.
• Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions.
• Design and build AI applications leveraging best smart solutions.
• Provide quick prototype and evaluation AI/ML solutions aligned with business objectives.
• Stay current with emerging trends in 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.
• Manage unstructured data and generate embeddings that can further be leveraged into AI products.
  
  

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 from a premium institute.
• 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role.
• Strong understanding with data pipelines, Snowflake ecosystem and master data management.
• Proficiency in Python.
• Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes.
• 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