Associate Principal - Architecture

What You'll Do

• Evaluate market solutions and evolving platforms for AIML and assess fitment to client demands
• ROI analysis readiness and develop enterprise recommendations
• Collaborate with business and technology teams in the design, prototyping, and selection of AIML solutions needed to deliver business value
• Continuous outside-in scanning to facilitate continuous learning and hand-on understanding of adoption of AI Solutions
• Architect and help build enterprise solutions which include components across the Artificial Intelligence spectrum such as Machine Learning, generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (eg Vision, Image, Textual, Language processing)
• Aid in the development of roadmaps for AI, machine learning, and other advanced analytics areas (eg NLP, NLQ, LLMs, AGI, A2A, Computer Vision, ML Platforms, Open-source Libraries, Event-driven Stream Processing, Data Lakes, Rapid Proof of Concept (PoC) Development)
• Independently and quickly build functional prototypes and PoCs to test new AI models, algorithms, and approaches to solve specific business problems
• Conduct hand-on testing with various machine learning models, including fine-tuning large language models (LLMs), training custom models, and evaluating their performance using appropriate metrics
• Quickly set up and test new tools, APIs, and frameworks to validate their capabilities and suitability for larger-scale implementation
• Offer support and mentorship to data science and engineering teams throughout the development, deployment, and operationalization of AI models
• Design and facilitate the integration of AIML models into existing enterprise applications, APIs, and business workflows

Requirements

• An excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers
• A strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in AIML, Ops Engineering, and cloud-native solutions
• Excellent written, verbal, and presentation communications skills, often used to describe problem statements, solution options, your analysis, and recommendations to a mix of technical and non-technical audiences, and to gain consensus and an agreed way forward
• Driven digital transformation roadmaps, target operating models, cost reduction, performance improvement

What You'll Need To Perform This Job Optimally

• Perform each crucial duty satisfactorily
• Minimum bachelor's degree qualification with a strong quantitative background in STEM education (Science, Technology, Engineering, Mathematics) OR an MBA
• Deep knowledge of AIML tech across AWS, Azure, and GCP
• Understanding of cloud-native services for data storage, compute, networking, and security
• Proven grasp of statistical concepts such as hypothesis testing, probability distributions, regression analysis
• Experience with data exploration, feature engineering, and data preprocessing techniques
• Technical proficiency including 5 years of hands-on AIML solution architecture, hands-on prototyping and experimentation, AWS, Azure data analytics and AI services, and 3 years of hands-on experience with data science tools and frameworks
• Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions