Tiger Analytics - Architect/Senior Architect - Generative AI Platforms

Job Description:

Role & Responsibilities:

We are looking for an Architect / Sr. Architect GenAI & AI Platforms, to lead the design and development of a strategic enterprise AI platform.

In this role, you will work closely with senior leadership, including founders, to define the platform vision and architect scalable, production-grade AI systems powered by LLMs and modern AI technologies.

This platform will act as a digital twin of our existing systemsan intelligent bot/platform that provides real-time insights on what needs to be done and how to do it. If you're passionate about Generative AI, LLMs, and cutting-edge technology, and you enjoy building high-impact solutions, we'd love to hear from you! As an Architect/Sr. Architect on the Data and AI team, you will:

1. Define & Architect AI Platforms:

- Lead the architecture of an enterprise-grade AI platform (digital twin) integrating multiple data and system layers.

- Design scalable, modular, and extensible system architectures for GenAI-powered applications.

- Make key design decisions across model selection, orchestration, data flows, and system integration.

2. Build Intelligent GenAI Systems:

- Architect LLM-powered systems including copilots, decision-support systems, and agentic workflows.

- Define patterns for retrieval-augmented generation (RAG), context management, and reasoning pipelines.

- Enable real-time intelligence and actionability through AI-driven insights.

3. Drive Engineering Excellence & Scale:

- Establish best practices for system design, code quality, and platform reliability.

- Oversee development of high-performance, scalable backend systems and APIs.

- Ensure robust deployment architectures across cloud environments (AWS/GCP/Azure).

4. Integrate Across Enterprise Ecosystems:

- Lead integration of AI platform with existing enterprise systems and data pipelines.

- Ensure scalability, security, and compliance in production environments.

- Design microservices-based architectures for seamless interoperability.

5. Lead, Mentor & Influence:

- Work closely with leadership to translate strategic vision into execution.

- Mentor engineering teams and guide technical decision-making.

- Collaborate with clients and stakeholders to drive adoption of AI solutions.

- Contribute to building reusable accelerators and internal AI platforms.

Preferred Candidate Profile:

- Overall, 7.5+ to 13 years of experience with relevant experience in MLE/MLOps/AI Engg.

- Proven experience in designing and architecting scalable AI/ML systems.

- Experience in leading a team as well as handling customer stakeholders.

- Proven expertise in working with LLMs, Generative AI, and Agentic AI technologies.

- Experience with cloud-native architectures (Azure, AWS, GCP) and distributed systems.

- Hands-on experience with MLOps, Kubernetes, and CI/CD pipelines.

- Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.

- In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.

- Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced environment.

- Experience in mentoring and guiding teams, fostering collaboration across cross-functional groups.

- Passion for innovation, with the ability to stay updated with emerging technologies and apply them to solve complex challenges.

What Makes This Role Exciting :

- Opportunity to architect a flagship AI platform from the ground up.

- Direct collaboration with senior leadership and founders.

- Work on cutting-edge GenAI systems with real enterprise impact.

- Influence long-term AI strategy and platform direction.

(ref:hirist.tech)