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 - 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.