Principal Engineer, AI Architect

REQUIREMENTS:

• Total experience 11 years.
• Should have 10 years of experience in software engineering with strong depth in Python.
• Should have proven experience architecting and delivering production-grade Generative AI applications at scale.
• Should have deep understanding of LLM integration patterns RAG systems and AI-driven UX design.
• Should have strong system design skills across backend frontend and AI infrastructure layers.
• Must have experience defining technical strategy and influencing architecture across teams or pods.
• Should have hands-on experience with cloud platforms (AWS Azure or GCP) and distributed systems.
• Should have strong grasp of security privacy and governance considerations for enterprise AI.
• Must have ability to translate ambiguous business problems into durable technical architectures.
• Should have excellent communication skills with the ability to influence senior stakeholders and technical leadership.

RESPONSIBILITIES:

• Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Own the architecture and technical vision for AI-powered user-facing applications built with Python React and Generative AI.
• Design scalable secure and cost-efficient backend platforms for LLM inference RAG pipelines and agent-based orchestration.
• Define frontend architecture and UX patterns for AI-native applications including conversational interfaces copilots and intelligent dashboards.
•  Lead the design and implementation of complex GenAI workflows that combine LLMs tools APIs structured data and user context.
• Establish engineering standards and best practices for prompt design model integration evaluation and observability.
• Drive GenAI platformisationâbuilding reusable components SDKs and frameworks used across multiple teams or products.
• Partner with product design data and business leaders to translate strategic objectives into scalable technical solutions.
• Review critical designs and codebases unblock teams on complex technical challenges and raise the overall engineering bar.
• Lead technical discovery and solutioning for high-impact initiatives including client or executive-facing workshops when required.
• Ensure enterprise readiness: security privacy compliance governance and responsible AI practices.
•  Use AI-assisted development tools (e.g. Copilot Claude Code) to accelerate delivery while maintaining production-grade quality.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time