Product Architect - AI
F3328 FTIS (India) Pvt Ltd, FT Park Hyd Branch
About the role
About Franklin Templeton
At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world!
We are seeking an experienced AI Product Architect to lead the design, development, and delivery of scalable, secure, and high‑performance AI‑powered applications. This role combines deep technical expertise with product thinking, architecture leadership, and team management. You will own end‑to‑end architecture, guide engineering teams, and ensure alignment across product, business, algorithms, and cloud infrastructure—while driving best practices and modern engineering standards.
Key Responsibilities
Architecture & Technical Leadership
- Design and implement Azure‑first architecture solutions (mandatory; AWS not in scope)
- Build scalable, secure, and optimized applications leveraging modern cloud‑native patterns
- Review and assess existing applications, identifying gaps and driving remediation
- Define and enforce architecture standards, best practices, and engineering guidelines
- Lead microservices and API architecture design
- Drive performance, resiliency, and production stability
Product & Delivery Ownership
- Own end‑to‑end solution delivery, from design through production
- Align product, business requirements, AI/ML models, and infrastructure
- Conduct design reviews and code reviews
- Oversee delivery governance and quality assurance
- Ensure production readiness and hardening
Team Leadership & Execution
- Lead and manage full‑stack engineering teams
- Perform effort estimation, task breakdown, and delegation
- Mentor engineers and promote AI‑assisted programming practices
- Drive accountability and execution excellence across teams
Collaboration & Stakeholder Management
- Collaborate cross‑functionally with product, business, data science, and infrastructure teams
- Act as a bridge between technical and non‑technical stakeholders
- Communicate architecture decisions, trade‑offs, and risks clearly
Technology & Architecture Requirements
Cloud & Infrastructure (Mandatory Azure Expertise)
- Azure Containers (AKS / container‑based deployments)
- Azure Functions
- Azure Blob Storage
- Azure API Management (APIM)
- Azure Container Registry
- Azure Key Vault
- Azure Application Insights
- Azure Data Factory
Backend & Data
- Python
- FastAPI
- SQL / PostgreSQL
- Snowflake
Frontend
- React
Architecture & Engineering
- Microservices architecture
- API‑first design
- CI/CD pipelines
- Security, RBAC, and compliance
- Monitoring, logging, and alerting
- Environment management (dev/test/prod isolation)
- Legacy system modernization
Core Competencies
- Strong system design and architectural thinking
- Ability to balance speed, scalability, and maintainability
- Expertise in production‑grade system design
- Deep understanding of cloud‑native patterns and distributed systems
- Experience with AI‑enabled applications and AI‑assisted development workflows
People Leadership
- Proven ability to lead and manage engineering teams
- Experience mentoring developers and fostering high‑performance teams
- Strong ownership mindset with focus on delivery outcomes
- Ability to build a culture of engineering excellence and accountability
Nice to Have
- Experience in AI/ML product development lifecycle
- Exposure to financial services / asset management domain
- Experience with large‑scale system modernization initiatives
Success Criteria
- Delivery of robust, scalable AI‑powered applications
- High system reliability and performance in production
- Strong alignment across product, engineering, and business
- Development of a high‑performing engineering team
Job Details
- Job Level: Individual Contributor
- Work Shift Timings: 2:00 PM – 11:00 PM IST
Benefits
- Professional development growth opportunities through in‑house classes and over 150 web‑based training courses
- Educational assistance program to financially help employees seeking continuing education
- Medical, Life and Personal Accident Insurance benefit for employees (medical insurance also covers employee’s dependents – spouses, children, and dependent parents)
- Life insurance for protection of employees’ families
- Personal accident insurance for protection of employees and their families
- Personal loan assistance
- Employee Stock Investment Plan (ESIP)
- 12 weeks paternity leave
- Onsite fitness center, recreation center, and cafeteria
- Transport facility
- Child day‑care facility for women employees
- Cricket grounds and gymnasium
- Library
- Health Center with doctor availability
- HDFC ATM on the campus
Equal Opportunity Employer
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.
Culture & Commitment
When you become part of Franklin Templeton, you’ll join a company dedicated to progress. A company that doesn’t settle. One where we pursue our ambitions with energy and persistence. That’s why it’s so important that we empower and encourage the progress of our employees. From our welcoming, inclusive, and flexible culture – to our global and diverse business, we provide opportunities to help you reach your potential while contributing to ours.
At Franklin Templeton, we embrace individual differences and value experience and perspectives brought by talent from around the world. And, although we are all different, we all have one thing in common – we are dedicated to what we do. So whether you’re just starting your career journey, are well on your way, or are seeking a new direction, you’ll find the support you need to grow your career with us. Come, join us, and help us shape the future of the global asset management industry!
Requirements
- Azure Containers (AKS / container-based deployments)
- Azure Functions
- Azure Blob Storage
- Azure API Management (APIM)
- Azure Container Registry
- Azure Key Vault
- Azure Application Insights
- Azure Data Factory
- Python
- FastAPI
- SQL / PostgreSQL
- Snowflake
- React
- Microservices architecture
- API-first design
- CI/CD pipelines
- Security, RBAC, and compliance
- Monitoring, logging, and alerting
- Environment management (dev/test/prod isolation)
- Legacy system modernization
- Strong system design and architectural thinking
- Ability to balance speed, scalability, and maintainability
- Expertise in production-grade system design
- Deep understanding of cloud-native patterns and distributed systems
- Experience with AI-enabled applications and AI-assisted development workflows
- Proven ability to lead and manage engineering teams
- Experience mentoring developers and fostering high-performance teams
- Strong ownership mindset with focus on delivery outcomes
- Ability to build a culture of engineering excellence and accountability
Responsibilities
- Design and implement Azure-first architecture solutions (mandatory; AWS not in scope)
- Build scalable, secure, and optimized applications leveraging modern cloud-native patterns
- Review and assess existing applications, identifying gaps and driving remediation
- Define and enforce architecture standards, best practices, and engineering guidelines
- Lead microservices and API architecture design
- Drive performance, resiliency, and production stability
- Own end-to-end solution delivery, from design through production
- Align product, business requirements, AI/ML models, and infrastructure
- Conduct design reviews and code reviews
- Oversee delivery governance and quality assurance
- Ensure production readiness and hardening
- Lead and manage full-stack engineering teams
- Perform effort estimation, task breakdown, and delegation
- Mentor engineers and promote AI-assisted programming practices
- Drive accountability and execution excellence across teams
- Collaborate cross-functionally with product, business, data science, and infrastructure teams
- Act as a bridge between technical and non-technical stakeholders
- Communicate architecture decisions, trade-offs, and risks clearly
Benefits
Skills
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