Technical Architect

Role Overview

We are looking for a Technical Lead to take ownership of core platform engineering and delivery across Bay6.ai. This role is responsible for system design, backend/frontend engineering, DevOps practices, and team execution, while partnering closely with the AI/ML Lead, Product Managers, and business stakeholders.

This is a hands-on technical leadership role, ideal for someone who can balance coding, architecture, and team guidance in a fast-growing company.

Key Responsibilities

Technical Leadership & Delivery

• Lead day-to-day engineering execution across backend, frontend, QA, and DevOps teams.
• Own system design and architecture for Bay6.ai's core platforms and products.
• Ensure scalable, maintainable, and secure implementations aligned with business needs.
• Collaborate closely with the AI/ML Lead to integrate AI capabilities into production systems.
• Participate actively in coding, code reviews, and design discussions.

Architecture & Engineering Practices

• Design and maintain microservices-based architectures and APIs.
• Define and enforce best practices for:
• Code quality and design patterns
• Automated testing
• CI/CD and release management
• Security and performance
• Review technical designs and provide guidance to engineers.

Cloud, DevOps & Reliability

• Own and manage AWS infrastructure and deployments.
• Improve CI/CD pipelines, deployment automation, and monitoring.
• Ensure system reliability, availability, and basic observability.
• Address performance bottlenecks and production issues proactively.

Collaboration & Mentorship

• Work closely with Product Managers to translate requirements into technical solutions.
• Mentor engineers and support their technical growth.
• Coordinate with cross-functional teams to ensure timely and high-quality releases.
• Contribute to technical planning, estimations, and sprint execution.

Required Technical Skills:

Backend & APIs

• Strong experience with Node.js/Express
• Experience with Python (services, integrations, or AI consumption)
• MySQL / PostgreSQL / Other Data Bases as Needed
• REST and GraphQL APIs

Frontend

• Angular and/or React/NextJS
• Understanding of frontend architecture, performance, and usability
• Well versed with Micro frontends, Reusable UI Components

Cloud & DevOps

• AWS (EC2, S3, Lambda, RDS)
• CI/CD pipelines
• Docker (Kubernetes exposure is a plus)

Engineering Fundamentals

• System design and microservices architecture
• Git and collaborative development workflows
• Agile / Scrum methodologies

Educational Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field (BE / BTech / BSc / BCA)
• Master's degree (ME / MTech / MSc) is a plus but not mandatory

Nice to Have

• Redis or caching mechanisms
• Observability tools (Prometheus, Grafana, or similar)
• Experience working with enterprise SaaS platforms
• Prior startup or fast-scaling company experience

What This Role Is / Is Not

This role IS:

• Hands-on Technical Lead with ownership of platform engineering
• Responsible for delivery, architecture, and engineering best practices
• A bridge between product, AI/ML, and engineering execution

This role is NOT:

• An AI/ML Lead role
• A people-manager-only role
• A Principal / Director-level role

Why Join Bay6.ai

• Work on real, production-grade enterprise AI platforms
• High ownership and visibility across the entire engineering stack
• Opportunity to grow into Principal Engineer or Engineering Manager roles
• Collaborative environment with a dedicated AI/ML leadership team
• Competitive compensation aligned with the company's growth stage

Soft Skills Required:

✓ Strong leadership and communication skills, with the ability to translate complex AI/ML and chatbot testing concepts into actionable plans for both technical and non-technical stakeholders.

✓ Excellent problem-solving and analytical thinking skills, particularly in validating chatbot conversations, predictive model outputs, and integration workflows.

✓ Ability to work collaboratively with cross-functional teams (AI/ML engineers, data scientists, developers, product manager and product owners) and manage multiple testing projects in a fast-paced environment.

✓ Strategic thinkers with the ability to anticipate challenges in AI/ML model performance, chatbot behavior, and system scalability, and proactively address them.