As a Generative AI practitioner at our company, you will play a crucial role in executing and deploying cutting-edge Generative AI solutions across our enterprise-wide Controls Technology platform. Your main responsibility will be to translate AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. To succeed in this role, you should have deep technical expertise in generative AI and a proven track record of successfully delivering complex technology projects.
Key Responsibilities:
• Execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.• Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.• Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.• Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.• Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem.• Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.• Implement and enforce robust governance and ethical AI frameworks throughout the delivery process, ensuring compliance with data privacy standards and corporate policies.Required Technical Skills:
• Deep knowledge of Large Language Models (LLMs) and advanced fine-tuning techniques.• Expertise in model compression and quantization methods.• Proficiency in Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques.• Strong skills in Machine Learning Frameworks, Cloud Computing, Natural Language Processing (NLP), and AI Deployment.• Proficiency in Data Science, Engineering, and API Development.• Experience with Generative AI Tools & Platforms and AI Compliance & Guardrails.Required Leadership & Soft Skills:
• Proven ability in Delivery Leadership and Program Management.• Capacity for Strategic Execution and Stakeholder Management.• Passion for Pragmatic Innovation and Problem Solving.Qualifications:
• Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field (PhD preferred).• Overall 14 years of experience, with 8+ years in AI/ML and at least 3 years in Generative AI.• 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.• Extensive hands-on experience with AWS services and infrastructure related to AI/ML.• Strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment. As a Generative AI practitioner at our company, you will play a crucial role in executing and deploying cutting-edge Generative AI solutions across our enterprise-wide Controls Technology platform. Your main responsibility will be to translate AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. To succeed in this role, you should have deep technical expertise in generative AI and a proven track record of successfully delivering complex technology projects.Key Responsibilities:
• Execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.• Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.• Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.• Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.• Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem.• Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.• Implement and enforce robust