AI Architect

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 - BengaluruExperience - 8+ yearsThe 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.