AI Architect

3 weeks ago

Hyderabad India Cognida.ai Full time

Job Description

Job Summary

We are looking for an experienced AI Architect with 1418 years of strong technology and product development experience to lead the architecture and delivery of AI-powered products. This role is focused on hands-on product development, experimentation, and integration of advanced AI/ML techniques into scalable and user-centric products.

You will work closely with product managers, engineers, and data scientists to shape product strategy, design robust AI architectures, and drive end-to-end development of AI-enabled features and platforms.

Key Responsibilities

Product-Centric AI Architecture

- Design end-to-end AI architectures that support scalable, maintainable, and high-performance AI-driven products.
- Translate business and product requirements into concrete AI/ML solution blueprints.

Hands-On Product Development

- Lead development of AI models and components for product features from PoC to production.
- Integrate models into product pipelines, ensuring performance, scalability, and reliability.
- Collaborate with engineering teams to productionize and optimize AI workflows (inference, retraining, monitoring, etc.).

Experimentation & Prototyping

- Build rapid prototypes and MVPs to validate hypotheses and test new product ideas.
- Use experimental data and feedback loops to iterate on model and feature design.

Collaboration with Product Teams

- Partner with product managers to define AI feature scope, feasibility, and timelines.
- Contribute to product roadmaps by identifying opportunities for AI-driven innovation.

Research-Driven Development

- Continuously evaluate new tools, models, frameworks, and research relevant to product needs.
- Apply the latest advancements in ML, NLP, computer vision, or generative AI where applicable.

Required Skills & Qualifications

- 1418 years in software/tech roles with strong exposure to AI/ML product development.
- Proven experience delivering production-grade AI features or platforms in commercial products.
- Deep understanding of machine learning, deep learning, NLP, or computer vision.
- Strong proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Hugging Face, etc.
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices for deploying and maintaining models.
- Experience working in agile product teams and collaborating cross-functionally with engineering, design, and product management.
- Ability to communicate technical decisions and trade-offs clearly to stakeholders.

Nice To Have

- Experience in generative AI applications (e.g., LLMs, prompt engineering, fine-tuning).
- Exposure to A/B testing and data-driven product optimization.
- Understanding of responsible AI principles and model governance.

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