Technical Architect

Jade Global; Maharashtra; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Jade Global seeks a Technical Architect to lead architectural decisions and implementation in delivery engagements. You will ensure technical quality, design cloud-native systems on platforms like AWS or Azure, and mentor engineering teams. Required qualifications include 5-9 years in software engineering with hands-on experience across various technologies including .NET and cloud services. The role requires strong communication and delivery focus, and offers opportunities for innovation in AI-driven solutions.

Qualifications

• 5-9 years of experience in software engineering, including 2-3 years in a technical architecture role.
• Experience building enterprise-grade solutions across cloud and AI/ML.
• Strong technical communication skills.

Responsibilities

• Own technical architecture decisions on delivery engagements.
• Engage with client technical teams for system integration.
• Design and implement cloud-native architectures.

Skills

Proficiency in .NET (C#, ASP.NET Core)

Experiencing with Python, Java, Node.js

Generative AI integration

AWS, Azure, or GCP experience

RPA tools and AI-driven automation platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub Actions

Azure DevOps

Job description

Technical Architect 1

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 elevate 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.

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.