Domain Architect- AI/ML, Senior Specialist

 Assesses business requirements and the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business needs, with internal and external clients and partners.
2. Builds the deployment plan for highly scalable and secure Artificial Intelligence platforms, applications, and systems that run in various cloud infrastructures and Artificial Intelligence devices successfully.
3. Applies architecture specification and documents technical and configuration for all users (customers, engineering teams, product teams); resolves Artificial Intelligence/Machine Learning solution deployment issues.
4. Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.
5. Applies moderately complex machine learning algorithms and technologies into organizational practices, such as regression models.
6. Analyzes the statistical analyses on business and processes using machine learning techniques to find out opportunities for business development and process improvement.
7. Performs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems.
8. Optimizes statistical models continuously to achieve best performance of machine learning algorithms.
9. Validates business problems and needs; ensures appropriate AI technologies and tools are utilized to solve problems.
10. Pilots AI models and prototype applications; evaluates whether business challenges are addressed.
11. Performs code reviews, optimizes algorithms and models and conducts experiments to ensure the functionality and performance of AI products or solutions.
12. Participates in special projects and performs other duties as assigned.
13. Designs and develops advanced AI/ML models for applications including NLP, computer vision, and predictive analytics.
14. Leads model training and evaluation using large datasets, ensuring accuracy, data integrity, and model robustness.
15. Drives continuous experimentation, implements performance-enhancing optimizations, and identifies areas for architectural improvements in AI systems.
16. Champions efficient algorithmic design to improve the scalability, performance, and adaptability of machine learning applications.

Qualifications and Skills

• Minimum 10 years of relevant work experience, including at least 3 years in a technology architect role focused on AI/ML.
• B.Tech/B.E. in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field required. M.Tech, M.S. in AI/ML/Data Science, preferred.
• Deep expertise in GenAI, agentic architecture, and architecture patterns
• Experience in productionizing solutions built on multi-agent architectures
• Strong exposure to AWS, frontier models, and AI engineering patterns
• Experience in fine-tuning and developing small language models
• AWS Solutions Architect certification(Mandatory)
• Expertise in AI/ML architecture, statistical modeling, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven experience deploying scalable and secure AI systems on cloud platforms (AWS, Azure, or GCP).
• Strong understanding of regression models, A/B testing strategies, and optimization techniques.
• Ability to pilot prototypes and translate models into functional AI solutions that address real-world business problems.
• Experience in code review, algorithm refinement, and system performance tuning.
• Excellent stakeholder management, cross-functional collaboration, and documentation capabilities.
  • Awareness of emerging trends in AI/ML and ability to apply them in enterprise contexts.