Ovii Job Board

AI Solutions Architect

Cognida.ai

Hyderabad, India • Onsite - Hyderabad, India • Full-Time • 14+ years

Posted 2026-08-18 Customer Success & Delivery

Apply on employer site

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