Solution Architect - L1

Job Description

Primary Responsibilities:

1. Generative AI Strategy & Execution: Developing and executing strategies that align with broader business objectives, setting clear goals for the team focusing on machine learning solutions.
2. Architect and deploy LLMs (GPT, LLaMA, Claude, Mistral), multimodal AI (text, image, video), and AI-powered automation tools.
3. Oversee the implementation of retrieval-augmented generation (RAG), prompt engineering, and fine-tuning strategies.
4. Work on text, speech, image, and video generation use cases in industries like finance, healthcare, media, and e-commerce.
5. Ensure AI solutions are scalable, cost-effective, and optimized for performance.
6. Identify high-impact AI use cases across various domains (e.g., AI chatbots, content generation, fraud detection, AI-driven automation).
7. Partner with product managers and software engineers to integrate AI into existing and new business applications.
8. Monitor AI model performance and continuously optimize based on user feedback and business KPIs.
9. Team Management: Building and leading a strong team to develop, deploy, and manage state-of-the-art ML models in production, including classic ML, DNNs, and Large Language Models/GenAI.
10. Talent Scouting and Training: Seeking out the best talents in machine learning and data science and overseeing their training.
11. Maintaining Best Practices: Staying up to date with emerging AI trends to ensure the organization always utilizes the best ML practices.
12. Collaboration: Working collaboratively with teams across the organization and influencing decision-making at senior levels.
13. Ethical AI Practices: Ensuring AI/ML solutions are developed and deployed ethically and responsibly, in compliance with applicable laws, regulations, contracts, enterprise policies, and Code of Conduct.
14. AI Impacts: Working with stakeholders to align on AI agenda across all lines of business