## Technical ArchitectApplylocations: Pune, Maharashtratime type: Full timeposted on: Posted Todayjob requisition id: R-105048Technical Architect1****Technical Architecture & Delivery***** **Own technical architecture decisions on delivery engagements — designing component-level solutions that align with broader architecture blueprints defined by the Solution or Principal Architect.*** **Actively participate in engineering delivery, bridging the gap between architectural intent and implementation — reviewing code, driving technical design sessions, and unblocking development teams.*** **Ensure technical quality across deliverables — conducting architecture and code reviews, validating implementation against design standards, and driving resolution of technical debt.*** **Manage technical risk on delivery projects and escalate architectural concerns to the Solution Architect.******AI & Engineering Framework Adoption***** **Learn, implement, and advocate for AI-native engineering practices — including GenAI integration patterns, agentic workflows, and intelligent automation — within delivery teams.*** **Contribute to the development and maintenance of AI engineering frameworks, solution accelerators, and reusable technical assets.*** **Evaluate and experiment with new tools, APIs, and platforms in the AI and cloud-native space — bringing relevant innovations into delivery practice.******Technical Consulting & Problem Solving***** **Engage with client technical teams to understand system landscapes, integration requirements, and technical constraints.*** **Propose pragmatic, technology-forward solutions to complex engineering challenges across application modernization, AI integration, and cloud migration.*** **Support the Solution and Principal Architect in pre-sales activities including technical assessments, proof-of-concept design, and effort estimation.******Cloud & Automation Implementation***** **Design and implement cloud-native architectures on AWS, Azure, or GCP — including containerization (Kubernetes/Docker), serverless functions, and event-driven patterns.*** **Implement intelligent automation components using workflow engines, RPA tools, or custom AI-driven pipelines.******Engineering Community & Mentoring***** **Mentor senior engineers and developers — supporting technical upskilling on AI tools, cloud platforms, and modern engineering practices.*** **Contribute to Jade's internal community of practice through knowledge sharing, documentation, and participation in architecture discussions.******QUALIFICATIONS********Education***** **Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field is required.******Experience***** **5–9 years of total experience in software engineering, with at least 2–3 years in a technical architecture, lead engineer, or tech lead role.*** **Hands-on experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.*** **Experience working in client-facing delivery environments within IT services or consulting organizations is preferred.******Technical Skills***** **Engineering Stack: Strong hands-on proficiency in .NET (C#, ASP.NET Core) and/or OpenSource stacks (Python, Java, Node.js). Experience across both stacks is a strong advantage.*** **AI & GenAI: Practical exposure to Generative AI integration, LLM APIs (OpenAI, Azure OpenAI), LangChain, RAG patterns, or agentic workflow frameworks.*** **Cloud: Hands-on experience with AWS, Azure, or GCP — microservices, containers (Docker/Kubernetes), serverless, and CI/CD pipelines (GitHub Actions, Azure DevOps).*** **Intelligent Automation: Exposure to RPA tools, workflow orchestration engines, or AI-driven automation platforms.*** **Enterprise Platforms: Familiarity with Oracle, SAP, Salesforce, or ServiceNow is a plus.*** **Cloud Certification (any level — AWS, Azure, or GCP) is a plus.******Soft Skills***** **Strong technical communication — able to explain architecture decisions clearly to engineering teams and non-technical stakeholders.*** **Delivery-focused and hands-on — willing to roll up sleeves and contribute to implementation alongside leading architectural decisions.*** **Curious and self-motivated — proactively explores new AI tools, frameworks, and engineering patterns.*** **Collaborative team player — works effectively in onshore-offshore delivery models across time zones.**