Lead AI Engineer (Technical Architect)

Franklin Templeton; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Franklin Templeton in Hyderabad seeks an experienced AI engineering leader to drive the design, development, and Production rollout of enterprise AI applications. You will collaborate with data, platform teams and stakeholders to define solutions and set technical direction.

The role requires 12+ years in software/AI engineering, with 5+ years in leading technical initiatives. Financial services experience is preferred and you will oversee production-grade AI systems and governance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 12+ years of software, data, application, or AI engineering experience.
• 5+ years leading technical direction for complex initiatives.
• Experience delivering enterprise applications end-to-end.
• Experience leading cross-functional engineering efforts.
• Experience mentoring senior engineers.
• Financial services experience preferred.

Responsibilities

• Lead the AI and Software Engineering team in Hyderabad.
• Serve as the primary AI engineering leader in India.
• Partner with stakeholders to define business solutions.
• Deliver AI applications from concept to production.
• Manage delivery plans, dependencies, and risks.
• Establish architecture and engineering standards.
• Contribute to design, coding, and troubleshooting.
• Define the technical direction for AI applications.
• Guide architecture, integration, and orchestration decisions.
• Evaluate build-versus-buy technology options.
• Partner with Data and Platform Engineering leaders.
• Drive continuous improvement across the AI portfolio.
• Evaluate emerging AI engineering practices.
• Leverage AI-assisted development tools responsibly.
• Mentor engineers and support technical growth.
• Review designs and code for quality and consistency.
• Coordinate delivery across engineering teams.
• Communicate technical risks and decisions clearly.
• Support operational readiness and production adoption.
• Build a collaborative and accountable engineering culture.

Skills

Python

API Design

Software Architecture

Web App Development

Generative AI

RAG & Agents

AI Reliability

Education

Bachelor's degree in Computer Science

Job description

About The Department

Lexington Partners, part of Franklin Templeton, is a global leader in secondary private equity and co-investment investing. The Data & AI organization builds enterprise AI applications and intelligent solutions that help business teams work more effectively and make better decisions. Team members partner closely with business stakeholders, Data Engineering, Platform Engineering, and global colleagues to design, deliver, and operate scalable AI products. Joining the team offers the opportunity to influence enterprise AI strategy, solve complex business challenges, and lead the adoption of emerging technologies across the firm.

About The Department

Lexington Partners, part of Franklin Templeton, is a global leader in secondary private equity and co-investment investing. The Data & AI organization builds enterprise AI applications and intelligent solutions that help business teams work more effectively and make better decisions. Team members partner closely with business stakeholders, Data Engineering, Platform Engineering, and global colleagues to design, deliver, and operate scalable AI products. Joining the team offers the opportunity to influence enterprise AI strategy, solve complex business challenges, and lead the adoption of emerging technologies across the firm.

How You Will Add Value?

Core Responsibilities

• You will lead the AI and Software Engineering team in Hyderabad.
• You will serve as the primary AI engineering leader in India.
• You will partner with stakeholders to define business solutions.
• You will deliver AI applications from concept to production.
• You will manage delivery plans, dependencies, and risks.
• You will establish architecture and engineering standards.
• You will contribute directly to design, coding, and troubleshooting.

Strategic Responsibilities

• You will define the technical direction for AI applications.
• You will guide architecture, integration, and orchestration decisions.
• You will evaluate build-versus-buy technology options.
• You will partner with Data and Platform Engineering leaders.
• You will drive continuous improvement across the AI portfolio.
• You will evaluate emerging AI engineering practices.
• You will leverage AI-assisted development tools responsibly.

Team & Collaboration

• You will mentor engineers and support technical growth.
• You will review designs and code for quality and consistency.
• You will coordinate delivery across engineering teams.
• You will communicate technical risks and decisions clearly.
• You will support operational readiness and production adoption.
• You will build a collaborative and accountable engineering culture.

Experience, Education & Certifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 12+ years of software, data, application, or AI engineering experience.
• 5+ years leading technical direction for complex initiatives.
• Experience delivering enterprise applications end-to-end.
• Experience leading cross-functional engineering efforts.
• Experience mentoring senior engineers.
• Financial services experience preferred.

Technical Skills

• Expert Python programming skills.
• API and distributed service design expertise.
• Strong software architecture and testing experience.
• Modern web application development knowledge.
• Experience building production AI and generative AI solutions.
• Expertise in RAG, agents, embeddings, and tool integrations.
• Knowledge of AI reliability, observability, security, and governance.

Soft Skills

• Exceptional communication and stakeholder management abilities.
• Strong leadership and mentoring capabilities.
• Ability to navigate ambiguity and changing priorities.
• Excellent problem-solving and decision-making skills.
• Strong collaboration across global teams.
• Ability to influence technical and non-technical audiences.
• Professional, accountable, and results-oriented approach.

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