
AI Solutions Architect
Cognida.ai
Posted 2026-08-18
Customer Success & Delivery
Job Description
Ovii's Interpretation of the Role
Cognida.ai seeks an AI Solutions Architect in Hyderabad to design, prototype, and productionize AI/ML solutions that drive business impact. The role blends hands‑on model development with end‑to‑end architecture and close collaboration with product, engineering, and data science teams.
Role Snapshot
- Design end‑to‑end AI architectures
- Develop and productionize AI/ML models
- Prototype rapid AI MVPs
- Collaborate with product, engineering, and data science
- Drive scalable, customer‑centric AI solutions
- Lead technical decision‑making
Must-Have Requirements
- Python
- Machine Learning / Deep Learning
- NLP
- Computer Vision
- Agile product development
- Solution architecture design
- AI model prototyping
- software/tech roles
- AI/ML product solutions
Nice-to-Have Signals
- Cloud platforms (AWS, GCP, Azure)
- MLOps
Work Setup
- Location: Hyderabad, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design scalable, high‑performance AI system architectures
- Translate business requirements into concrete AI/ML solution blueprints
- Develop AI models from proof‑of‑concept to production
- Build rapid prototypes and MVPs to validate hypotheses
- Iterate models using experimental data and feedback loops
- Collaborate cross‑functionally with engineering, design, and product teams
- Communicate technical decisions and trade‑offs to stakeholders
Good Fit If You Have
- Strong communication of technical decisions to non‑technical stakeholders
- Proven experience in agile product teams
- Hands‑on expertise with Python and AI/ML frameworks
- Familiarity with cloud‑based MLOps pipelines
- Ability to bridge business goals and technical implementation
Skills
- Python
- Machine Learning / Deep Learning
- NLP & Computer Vision
- Cloud platforms (AWS, GCP, Azure)
- MLOps
- Agile product development
- AI model prototyping
- Solution architecture design