Associate Program Manager

We are looking for an experienced Associate Program Manager to join our team and drive the development and implementation of cutting-edge AI and analytics solutions. In this role, you will play a crucial part in shaping the technical architecture and guiding our engineering teams to deliver high-performance, secure, and scalable solutions. Your expertise will be instrumental in translating business requirements into technical solutions, ensuring our AI initiatives drive real business value.

• Define and oversee the end-to-end architecture for AI, Generative AI, and analytics solutions, ensuring alignment with business objectives.
• Lead solution design, architecture reviews, and technical governance, setting the standard for best practices.
• Collaborate with business stakeholders and product owners to understand requirements and translate them into scalable technical solutions.
• Architect and optimize data pipelines, ETL workflows, and AI-powered data retrieval systems for efficient data management.
• Design and implement scalable API integrations with enterprise systems and third-party platforms, ensuring seamless connectivity.
• Evaluate and recommend AI, machine learning, and cloud technologies, staying updated with emerging trends and innovations.
• Define and enforce security, scalability, performance, monitoring, and governance standards for all AI solutions.
• Guide and mentor engineering teams through solution development, deployment, and ongoing production support.
• Drive innovation initiatives, lead proof-of-concepts (POCs), and manage AI transformation programs to stay at the forefront of technology.
• Prepare comprehensive technical documentation, architecture diagrams, and solution blueprints for internal and client-facing purposes.

• Bachelor's or Master's degree in Computer Science, IT, Data Science, or a related field is required.
• Hands-on experience in developing and architecting Generative AI applications is essential.
• Strong expertise in Python, SQL, and relational databases is a must, with advanced proficiency preferred.
• Experience with NoSQL databases (e.g., MongoDB, DynamoDB, Cassandra) and Vector Databases (e.g., Pinecone, Chroma) is advantageous.
• A solid understanding of Caching technologies (e.g., Redis) and ETL/Data Engineering pipelines is expected.
• Proficiency in Retrieval-Augmented Generation (RAG), Tool Calling, and AI Agents is highly desirable.
• Strong knowledge of Data Science, Statistics, and Machine Learning concepts is essential for this role.
• AI/Cloud certifications are an added advantage, demonstrating a commitment to staying updated with industry trends.
• Experience in Agile/Scrum delivery environments is preferred, ensuring efficient project management.
• Exposure to reporting and dashboarding tools like Tableau or Power BI is beneficial for data visualization.