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Head of AI/ AI Architect (Growth Stage Portfolio)
Head of AI/ AI Architect (Growth Stage Portfolio)Z47 • Bangalore (division)
Head of AI / AI Architect (Growth Stage Portfolio)

Head of AI / AI Architect (Growth Stage Portfolio)

Z47 • Bangalore (division)
12 hours ago
Job description

We are currently helping hire an AI Architect / Head of AI for a couple of portfolios. Interested candidates can apply to the job link.

Location - Bengaluru

Experience - 8+ years

The Head of AI / AI Architect will be responsible for defining and driving the technical and architectural vision for a next-generation AdTech ecosystem. This includes building scalable, low-latency systems such as ad exchanges, SSP / DSP integration layers, and real-time bidding infrastructure.

This role is ideal for someone who is hands-on, highly technical, and capable of translating business goals into robust, future-proof engineering and AI / ML-driven solutions while mentoring and scaling a high-performance technology team.

Key Responsibilities :

1. Architecture & System Design

  • Define the end-to-end technical architecture for programmatic advertising components including Ad Exchange, SSP, DSP integrations, and RTB systems.
  • Design for extremely high throughput and ultra-low latency (e.g., sub-100ms bid responses).
  • Build a modular architecture that supports plug-and-play demand– and supply-side integrations.
  • Lead architectural reviews, scalability planning, performance tuning, and system optimization.

2. Technology Strategy & AI Roadmap

  • Develop and evolve the overarching technology roadmap aligned with product and monetization goals.
  • Evaluate and implement emerging technologies such as edge bidding, clean rooms, contextual AI models, and privacy-first machine learning.
  • Partner with product and business teams to ensure strong alignment between architecture, features, and revenue strategy.
  • 3. Engineering Leadership

  • Collaborate closely with backend and platform engineers to define best practices for design, development, data handling, and security.
  • Mentor engineering talent and establish strong foundations across DevOps, CI / CD, observability, and reliability engineering.
  • Promote an engineering culture emphasizing ownership, scalability, and innovation.
  • 4. Data, ML & Infrastructure

  • Architect real-time data pipelines for analytics, reporting, experimentation, and machine-learning-driven optimization.
  • Ensure high availability, distributed fault tolerance, and efficient data storage across large-scale environments.
  • Work with DevOps teams to improve cloud efficiency, network performance, and system observability.
  • 5. Compliance, Privacy & Governance

  • Architect with privacy, transparency, and regulatory standards in mind (e.g., GDPR, CCPA, cookie-less identity frameworks).
  • Establish frameworks for consent management, identity resolution, audience segmentation, and privacy-first AI / ML systems.
  • Core Technical Expertise

  • Strong understanding of the AdTech ecosystem : SSP, DSP, Ad Exchange, RTB, header bidding, and programmatic workflows.
  • Experience architecting high-throughput, distributed systems (100K+ QPS).
  • Hands-on expertise with :

  • Languages : Go, Java, Rust
  • Datastores : Redis, Aerospike, Cassandra, ClickHouse
  • Streaming : Kafka, Flink, Spark Streaming
  • Cloud & Infra : AWS / GCP, Kubernetes, Terraform
  • Data / ML Systems : ETL pipelines, analytics stores, model deployment, and real-time decision engines
  • Experience building real-time optimization engines using multi-signal data inputs.
  • Familiarity with privacy-first frameworks and identity management technologies.
  • Preferred Profile :

  • Proven experience as Chief Architect, Principal Engineer, or Distinguished Engineer in AdTech / B2B or other high-scale data / AI-driven environments.
  • Strong exposure to real-time bidding systems and supply–demand optimization.
  • Entrepreneurial, hands-on mindset with the ability to thrive in a fast-scaling environment.
  • Exceptional communication and cross-functional collaboration skills.
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