Job Description
Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description We are looking for a seasoned AI Architect / Principal Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, architecture, and enterprise-scale deployment of advanced AI systems, leveraging Machine Learning, Generative AI, and emerging Agentic AI paradigms. You will play a critical role in shaping AI strategy, driving innovation at scale, and enabling business transformation through cutting-edge intelligent systems. Key Responsibilities In this role, you will operate at the intersection of strategy, architecture, and execution, driving enterprise-wide AI adoption. Architect & Scale AI Solutions: Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs). Establish best practices for building robust and reusable AI platforms. Lead Generative & Agentic AI Innovation: Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks. Drive innovation in areas such as RAG, context engineering, and intelligent automation. Enterprise Impact & Transformation: Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy. Technical Leadership & Governance : Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices. Ensure scalability, security, and compliance across all AI initiatives. Cross-functional Leadership: Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions. Lead architecture discussions and influence key technical decisions. Mentorship & Capability Building : Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture. Lead communities of practice and contribute to organizational capability development. What We Are Looking For : We are seeking a strategic thinker and hands-on architect who combines deep technical expertise with strong business acumen and leadership capabilities. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field 11–13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systems Proven experience in architecting enterprise-grade AI/ML platforms and solutions Technical Expertise: AI/ML & Advanced Analytics : Strong expertise in Machine Learning, Deep Learning, and statistical modeling Experience designing scalable ML systems and production pipelines Generative AI & Agentic AI: Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applications Strong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databases Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration Architecture & Engineering: Strong system design and architecture skills for distributed AI systems Expertise in Python, SQL, and software engineering best practices Experience with microservices, APIs, and scalable backend systems MLOps & Platform Engineering: Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar Cloud & Data Platforms: Deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks Strong understanding of data lakes, data warehouses, and real-time data processing Soft Skills & Mindset: Strategic Leadership : Ability to align AI initiatives with business goals and drive long-term technology vision Ownership & Accountability: Takes end-to-end ownership of architecture, delivery, and outcomes Influence & Communication