Principal Architect

Company Name: Wexa AI Location: Hyderabad, India Job Title: Principal Architect
Number of Positions: 2
Job Description:
We are seeking an exceptional Principal Architect to lead the technical vision and architecture strategy for our AI-powered platform. In this role, you will be responsible for defining and driving the overall system architecture, making critical technology decisions, and ensuring our platform scales to meet the demands of enterprise customers globally. You will work closely with engineering leadership, product teams, and stakeholders to design robust, scalable, and innovative solutions that push the boundaries of what's possible in recruitment technology. This is a high-impact role where you'll shape the technical foundation of our products and mentor engineering teams to deliver world-class solutions.

Department: Engineering

Employment Type: Full-time

Work Mode: On-site

Seniority Level: Lead

About the Company:
Wexa AI empowers businesses with AI‑driven analytics and automation, turning complex data into actionable insights for finance, marketing, and operations teams. We partner with mid‑size to enterprise clients, delivering rapid, scalable solutions that blend transparency, ethical AI, and collaborative culture. Our mission: democratize AI to drive smarter decisions and sustainable growth.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field

• 10. years of software engineering experience with at least 5 years in architecture or technical leadership roles

• Proven track record of designing and delivering large-scale distributed systems and cloud-native applications

• Deep expertise in microservices architecture, API design, event-driven systems, and distributed computing patterns

• Strong experience with cloud platforms (AWS, Azure, or GCP) and modern infrastructure technologies

• Extensive knowledge of system design, scalability patterns, performance optimization, and security best practices

• Experience leading technical teams and driving architectural decisions in fast-paced, high-growth environments

• Excellent communication skills with ability to articulate complex technical concepts to both technical and non-technical audiences

• Proven experience architecting and deploying large-scale LLM applications — including foundation models, RAG systems, agentic architectures, fine-tuning, multi-modal systems, and hands-on expertise with GenAI platforms (LangChain, Hugging Face, OpenAI/Azure OpenAI APIs, or similar)

Deep expertise in *ML Ops, LLM operations, and responsible AI governance — with hands-on experience in model deployment, vendor/solution evaluation, cost optimization, data governance, compliance, and bias mitigation at scale
Key Responsibilities:**

• Define and evolve the overall technical architecture and technology stack for the platform, ensuring scalability, reliability, and performance

• Lead architectural design reviews and provide technical guidance across multiple engineering teams and projects

• Drive technology strategy and evaluate emerging technologies, frameworks, and tools to maintain competitive advantage

• Design and implement microservices architecture, API strategies, and integration patterns for complex distributed systems

• Establish and enforce architectural standards, best practices, and design patterns across the engineering organization

• Collaborate with product management and business stakeholders to translate business requirements into scalable technical solutions

• Mentor and guide senior engineers and architects, fostering a culture of technical excellence and innovation

• Lead technical due diligence for build vs. buy decisions and evaluate third-party solutions and partnerships

• Define GenAI strategy, lead architectural design, and drive implementation — establish integration roadmap, design LLM pipelines and agentic systems, evaluate emerging models/vendors for optimal cost and performance, and mentor teams on best practices in prompt engineering and AI implementation patterns

• Establish AI safety, governance, and observability frameworks — set standards for responsible AI adoption, implement guardrails for hallucination mitigation, model validation, bias detection, auditability, and compliance with emerging AI regulations

Must-Have Skills:

• System Architecture

• Microservices Architecture

• Cloud Architecture (AWS, Azure, or GCP)

• Distributed Systems Design

• API Design and Integration

Good-to-Have Skills:

• Machine Learning / AI Systems Architecture

• Kubernetes and Container Orchestration

• Event-Driven Architecture

• Domain-Driven Design (DDD)

Apply Now: https://app.purehire.ai/jobs/6989bcf8b7eef54ea787e6bd/69f45d7262b46478f2fd2910/apply

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Application Question(s):

• How many years of experience do you have designing large-scale distributed systems and cloud-native applications?

• What is your current CTC, expected CTC, and notice period, and are you available to join immediately if not serving notice?

• Are you willing to relocate to Hyderabad for this on-site role?

• How many years of Experience do you have?

• Which cloud platforms have you architected production systems on?

• What is your level of expertise in API architecture and integration strategies?

• Describe your experience mentoring senior engineers, architects, or technical leads.

• Which GenAI technologies have you worked with?

Work Location: In person