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Product Architect - AI

Franklin Templeton

Hyderabad · On-site Full-time Senior Today

About the role

About

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!

Role Summary

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

Culture & Benefits

Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

Highlights of Our Benefits

  • Professional development growth opportunities through in‑house classes and over 150 web‑based training courses
  • An 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

Learn more about the wide range of benefits we offer at Franklin Templeton.

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.

Accommodation

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.

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

professional development growth opportunitieseducational assistance programmedical insurancelife insurancepersonal accident insurancepersonal loan assistanceEmployee Stock Investment Plan (ESIP)paternity leaveonsite fitness centeronsite recreation centeronsite cafeteriatransport facilitychild day care facilitycricket groundsgymnasiumlibraryhealth center with doctor availabilityHDFC ATM on the campus

Skills

AKSAPI-first designAPI ManagementApplication InsightsAzureAzure FunctionsBlob StorageCI/CDContainer RegistryContainersData FactoryFastAPIKey VaultMicroservicesPostgreSQLPythonReactSQLSnowflake

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