Senior Architect

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

Job Description for Senior Architect/ Principal Architect

• Hands on Software and AI Architect with 10+ years of experience
• Should have dealt with full SDLC of a large platform from concept to market (production)
• Hands on - Should be able to convert business requirements to Technical solutions, provide different views of the end to end system (for e.g., 4+1 view). Should be able to conceptualize Class Diagrams, Components diagrams and use Model Driven Architectures to generate code leveraging AI tools
• Well versed in both OOPs and functional programming, should be hands on Python, .NET C# platforms, working knowledge on Linux distros
• Should have designed systems for auto scale and redundancy with two 9s
• Cloud Technologies - Azure (must), AWS - nice to have, Cloud agnostic technologies like Kubernetes, containerization is a must
• DevOps - opentofu, terraform
• AI - Agentic AI architectures, A2A, Agent Development, Orchestration, Langchain, Langgraph, crewai etc.
• Semantic Layer architectures - Knowledge graphs, graphRAGs, Temporalgraphs, vectorless RAG, notebooks, vector dbs, NoSQL, open Search, Key Value pairs etc
• AI Session Management - Modern technologies like mem0, zep, langmem etc
• Integration using Anthropic MCP, legacy integration technologies
• Knowledge of latest LLMs leveraging them for creating graphs, generating execution plans, using them as Judges etc
• CyberSecurity, RBAC policies on Azure, AI guardrails development, Leveraging AI and Human in the loop for identifying vulnerabilities
• Knowledge of working with Solid Works - with automation
• BoM identification and cost estimation on Azure for end to end architectures
  
  

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Job Description for Senior Architect/ Principal Architect

• Hands on Software and AI Architect with 10+ years of experience
• Should have dealt with full SDLC of a large platform from concept to market (production)
• Hands on - Should be able to convert business requirements to Technical solutions, provide different views of the end to end system (for e.g., 4+1 view). Should be able to conceptualize Class Diagrams, Components diagrams and use Model Driven Architectures to generate code leveraging AI tools
• Well versed in both OOPs and functional programming, should be hands on Python, .NET C# platforms, working knowledge on Linux distros
• Should have designed systems for auto scale and redundancy with two 9s
• Cloud Technologies - Azure (must), AWS - nice to have, Cloud agnostic technologies like Kubernetes, containerization is a must
• DevOps - opentofu, terraform
• AI - Agentic AI architectures, A2A, Agent Development, Orchestration, Langchain, Langgraph, crewai etc.
• Semantic Layer architectures - Knowledge graphs, graphRAGs, Temporalgraphs, vectorless RAG, notebooks, vector dbs, NoSQL, open Search, Key Value pairs etc
• AI Session Management - Modern technologies like mem0, zep, langmem etc
• Integration using Anthropic MCP, legacy integration technologies
• Knowledge of latest LLMs leveraging them for creating graphs, generating execution plans, using them as Judges etc
• CyberSecurity, RBAC policies on Azure, AI guardrails development, Leveraging AI and Human in the loop for identifying vulnerabilities
• Knowledge of working with Solid Works - with automation
• BoM identification and cost estimation on Azure for end to end architectures
  
  

Benefits

Engineering degree in Mechanical, Electrical or Civil Engineering with added programs on Software Engineering, AI is a must.

Software Professionals with non engineering background need not apply

Excellent and professional English Language communication, should be in a customer facing role.

Should have mentored a team of 10 folks on technology

Keeps himself/herself up to date on latest technologies

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