Senior Architect IRC302165

Job description

Description 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 — training, fine-tuning, 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: performance, scalability, reliability, 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 Area Requirement Education Bachelor’s degree (CS, Engineering, or related) Total Experience 8+ years Web/Full-Stack 8+ years — REST API, AWS, GitLab, DynamoDB, Oracle PL/SQL Customer-Facing Apps 4+ years designing and managing production applications AI/ML Hands-on LLM/SLM fine-tuning, model serving, and orchestration at scale Languages Python, Java, C/C++ AI Frameworks TensorFlow, PyTorch Cloud AWS architecture and services Security Static scan tools, security requirement translation Preferred Qualifications AWS Certification Proven track record deploying agentic workflows with documented business impact Ability to explain AI algorithms at both code and mathematical levels Key Skills AWS Python Java C/C++ LLM/SLM Agentic AI Distributed Systems System Design DynamoDB GitLab TensorFlow PyTorch Oracle PL/SQL REST API Good to have:Angular,Node JS Requirements 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 — training, fine-tuning, 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: performance, scalability, reliability, 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 Preferred Qualifications AWS Certification Proven track record deploying agentic workflows with documented business impact Ability to explain AI algorithms at both code and mathematical levels Key Skills AWS Python Java C/C++ LLM/SLM Agentic AI Distributed Systems System Design DynamoDB GitLab TensorFlow PyTorch Oracle PL/SQL REST API Good to have:Angular,Node JS Job responsibilities 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 — training, fine-tuning, 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: performance, scalability, reliability, extensibility C