AI Product Architect - Machine Learning Models

Role Overview :

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 infrastructurewhile 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 employees 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

What Will Help You Be Successful in This Role :

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