Lead Engineer

Job Description: As a Lead Engineer at Adobe, you will lead designing, developing, and deploying scalable software solutions that use GenAI models and infrastructure. This position combines senior software engineering skills with advanced AI/ML methods, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems and data engineering concepts. We are seeking an experienced and hands-on Lead Engineer to join our Data Platforms team. You will play a key role in developing innovative AI-powered features, platforms and data flows that address complex business challenges and improve operational efficiency. Key Responsibilities · Design & Development of scalable GenAI agents, applications, and microservices · Building complex and scalable data workflows · Infrastructure & Deployment: Develop and manage large-scale API infrastructure along with CI/CD pipelines. Use containerization technologies like Docker and Kubernetes and cloud services such as AWS, GCP, and Azure · RAG & Optimization: Implement solutions using RAG patterns, timely engineering, and model fine-tuning techniques to optimize AI performance and cost. · Quality & Mentorship: Enforce code quality, conduct comprehensive code/build reviews, and provide technical leadership and mentorship to junior team members. · Problem Solving: Triage, debug, and resolve complex issues across multiple systems, ensuring the reliability, performance, and security of GenAI solutions. Required Qualifications & Skills · Experience: 8 years of professional software development experience, with around 2 years of experience with GenAI techniques or related concepts · Technical Proficiency: Extensive knowledge in one or more programming languages, chiefly Python, and associated libraries (e.g., LangChain, Transformers) · Cloud: Practical experience working with cloud platforms (AWS, GCP, or Azure), containerization tools (Docker, Kubernetes), and continuous integration and delivery pipelines. · AI Knowledge: Strong understanding of AI/ML infrastructure, model deployment/evaluation, vector databases, and AI-specific concepts like agentic workflows · Knowledge of data engineering technologies like SQL, Apache Spark, Databricks etc · Education: A Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. · Soft Skills: Excellent problem-solving, analytical, and communication skills. Ability to work effectively in an agile environment About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other p ... (truncated, view full listing at source)