Product Architect - Digital & AI/ML

The Product Architect - Digital AI/ML in the Franklin Templeton AI Digital Transformation group focuses on designing and evolving the architecture of innovative digital investment products, with a focus on the Goals Optimization Engine (GOE). The engineer will integrate advanced optimization techniques, stochastic models, and AI/ML algorithms (e.g., reinforcement learning, neural networks) into a scalable, modular framework for B2B2C wealthtech solutions. Emphasizing hands-on Python programming, the role involves developing APIs and robust SaaS-ready product architecture, supporting deployments across SaaS, on-premises, and offline environments. Additionally, the engineer will explore Generative AI and emerging AI/ML technologies to enhance the products capabilities and broader business impact#MID_SENIOR_LEVEL

Design and develop scalable, modular and efficient architecture for product variants that aligns with business needs and supports diverse deployment modes

Design solutions that can seamlessly integrate advanced optimization techniques, AI/ML models, and stochastic frameworks into the product architecture.

Ensure architectural consistency across product components and align with enterprise standards.

Ability to lead the end-to-end product development lifecycle of SaaS products, from ideation to launch along with expertise in hands-on programming using Python

Ability to lead multiple project modules and operate seamlessly with cross functional teams to gather business requirements and design solutions.

Ability to design, develop, test and document the product features including design specifications, user guides and manuals.

Oversee quality assurance processes that should incorporate unit, integration, regression, and performance tests to ensure reliability, precision, and scalability in both the models and the overall system.

Familiarity with working on cloud platforms such as Amazon AWS and Data platforms such as Databricks and SnowFlake

Understanding of Dynamic Programming methodology and Reinforcement learning techniques including Deep learning, Q learning and neural networks are a definite plus.

Strong understanding of quantitative finance concepts and advanced optimization techniques.

Help and collaborate with the research team with ideas, algorithmic inputs, back-testing, proof of concepts and pseudo code where necessary

Good understanding to visualization tools to help with advanced analytics

Work closely with digital product teams, product managers, and quantitative researchers to gather business requirements and design solutions

Liaise with infrastructure, DevOps, and UI/UX teams to ensure seamless integration of components.

5-8 years of experience in product development or core programming roles, particularly with product development in the financial or fintech sector.

Proven ability to manage product lifecycles successfully and thrive in dynamic, fast-paced environments.

Bachelor s and masters degree in engineering / technology / mathematics / Statistics / related disciplines from Tier 1 universities/institutes in India or abroad.

Relevant industry certifications such as CFA, CQF will be looked at favorably

Strong foundational understanding of financial principles and terminology.

Ability to engage in discussions involving quantitative finance concepts and adapt to complex scenarios as needed.

A problem-solver with the ability to synthesize complex information into actionable insights.

Self-motivated and driven with a heightened sense of ownership and accountability.

Exceptional decision-making skills: Ability to prioritize across needs given limited resources

Exceptional communication skills to articulate product strategies, features, and rationale to diverse stakeholders.

A collaborative mindset with the ability to work seamlessly within Agile development teams.

Excellent Team player and demonstrate the ability to work in ambiguity and thrive in chaos.

Demonstrated ability to identify challenges and deliver innovative, data-driven solutions.

An appreciation of cultural nuances, essential for a role with diverse geographical focus.

This role offers an exciting opportunity to drive digital transformation at the intersection of technology and finance, empowering advisors and delivering value to clients worldwide.