Senior AI/GenAI Engineer

We are seeking an exceptional Senior AI/GenAI Engineer who will also serve as a Solutions Architect and Technical Leader. This highly strategic role demands 15+ years of data and analytics experience and a proven track record of designing, developing, and deploying complex, enterprise-scale AI/Generative AI applications. You will be responsible for defining the technical strategy with CXO-level executives, leveraging our modern data lake platforms, and transforming innovative POCs into production-ready, governed solutions. Key Responsibilities Strategy, Leadership, and Governance • Serve as the chief technical authority for all AI/GenAI initiatives, providing technical leadership and mentorship across engineering teams. • Collaborate directly with CXO-level stakeholders to define the organizational AI strategy, identify high-impact business use cases, and translate them into a concrete, executable roadmap. • Define and enforce standards for AI Model Governance, Responsible AI, and compliance, ensuring solutions are ethical, transparent, and auditable. • Build rapid Proof-of-Concept (POC)s to validate strategic AI applications and demonstrate compelling business value to leadership. • Ability to lead the Solution design for the RFPs • This role is a 70% technical and 30% leadership Solution Design and Architecture • Provide the comprehensive Solution Design and Application Architecture for enterprise AI/GenAI systems, ensuring high performance, scalability, and security. • Architect and optimize solutions at both the tool and platform level, maximizing value from our existing data lake ecosystem (e.g., Databricks, AWS, Python etc.). • Drive the selection and integration of necessary tools, libraries, and frameworks required for full-lifecycle GenAI development and deployment. Hands-On Development and Optimization • Apply 3-4 years of direct, hands-on experience to architect and develop robust, production-grade Generative AI applications. • Expertly utilize advanced AI/GenAI techniques, including complex Prompt Engineering, designing efficient Retrieval-Augmented Generation (RAG) pipelines, and building multi-step Agentic solutions. • Focus on model performance optimization and cost efficiency during training, fine-tuning, and inference stages. • Establish CI/CD and MLOps pipelines for automated testing, deployment, and monitoring of AI applications. Required Qualifications Experience: • 15+ years of total experience in the Data, Analytics, and Software Engineering fields, with at least 5 years in a senior leadership or architecture role. • 3-4 years of recent, hands-on experience specifically designing, building, and deploying production-grade AI and Generative AI applications. Technical Acumen: • Deep expertise in Prompt Engineering, RAG frameworks (e.g., LangChain, LlamaIndex), and building Agentic systems. • Comprehensive understanding of the data science and MLOps lifecycle leveraging platforms like Databricks, AWS and other open source platforms. • Expertise with data lake platforms and modern data processing architectures. • Strong proficiency in programming (e.g., Python) and cloud platforms (AWS, Azure). Leadership & Communication: • Exceptional ability to communicate complex technical concepts and strategic vision to both executive audiences (CXOs) and technical teams. • Proven ability to drive architectural decisions and manage trade-offs between speed, cost, and quality. • Solution presentations to the senior leadership