AI Solutions Architect

About Cognida.ai

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Position: AI Solution Architect

Location: Hyderabad, India

Job Summary:

We are looking for an experienced AI Solution Architect with 14+ years of strong technology and grown up on product development experience to deliver AI-powered solutions. This role is focused on hands-on development, integration and implementation of advanced AI/ML techniques into scalable and customer-centric solutions. You will work closely with product managers, engineers, and data scientists.

Key Responsibilities:

Solution-Centric AI Architecture

• Design end-to-end AI architectures that support scalable, maintainable, and high-performance AI-driven soltuions.
• Translate business requirements into concrete AI/ML solution blueprints.
• Lead development of AI models and components for solution features - from PoC to production.

Experimentation & Prototyping

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

Required Skills & Qualifications:

• 14+ years in software/tech roles with strong exposure to AI/ML product solutions.
• Deep understanding of machine learning, deep learning, NLP, or computer vision.
• Strong proficiency in Python
• 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.