About this role
Role Overview: Lead end-to-end architecture for enterprise-grade AI and web platforms, driving agentic solution design, distributed system implementation, and cross-functional delivery at scale. Core Responsibilities: Architecture & Design: Define end-to-end architecture for enterprise applications using advanced technologies; analyze system relationships, flows, and inter-system dependencies; design reusable, scalable, pluggable frameworks (Angular/Node/AWS); evaluate and recommend technology updates and modernization paths. AI/ML Engineering: Design and deploy agentic solutions with measurable, business-mapped outcomes; lead large-scale distributed AI systems including training, fine-tuning, and SLM/LLM serving (batch + real-time); implement orchestration pipelines for end-to-end AI workflows in production; stay current on generative AI, deep learning, and novel model architectures. Software Engineering Quality: Drive code analysis, static analysis tooling, and quality gates; implement non-functional requirements such as performance, scalability, reliability, and extensibility; conduct performance analysis and debugging across the full stack; convert cyber security product requirements into technical specifications. Leadership & Collaboration: Partner with onshore SMEs, business stakeholders, and global teams; build and sustain high-performing team culture; communicate complex model designs and outcomes to non-technical audiences; support platform incident triage and resolution; deliver projects on schedule in cross-functional environments. Required Qualifications: Bachelor’s degree in CS, Engineering, or related field. Minimum 8 years of total experience. 8+ years in Web/Full-Stack development including REST API, AWS, GitLab, DynamoDB, and Oracle PL/SQL. 4+ years designing and managing production customer-facing applications. Hands-on experience with LLM/SLM fine-tuning, model serving, and orchestration at scale. Proficiency in Python, Java, C/C++, TensorFlow, and PyTorch. Strong knowledge of AWS architecture and services, and security static scan tools. Preferred Qualifications: AWS Certification, proven track record deploying agentic workflows with documented business impact, and ability to explain AI algorithms at both code and mathematical levels.