The AI Architect is responsible for translating business needs into AI-driven solutions, designing end-to-end systems, collaborating with stakeholders, ensuring governance, and overseeing delivery of AI projects.
- Translate business requirements into AI-driven solution architectures
- Design end-to-end systems including data pipelines, model development, deployment, and monitoring
- Define reference architectures, reusable frameworks, and best practices
2. Stakeholder Engagement
- Collaborate with business leaders, product managers, and engineering teams to identify AI opportunities
- Act as a trusted advisor, explaining AI capabilities, trade-offs, and ROI
- Lead solution workshops, PoCs, and technical discussions
3. Technology Leadership
- Select appropriate tools, platforms, and frameworks (e.g., TensorFlow, PyTorch, cloud AI services)
- Architect solutions leveraging cloud platforms (AWS / Azure / GCP) and modern data stacks
- Ensure scalability, reliability, and performance of AI systems
4. Governance & Responsible AI
- Define and enforce AI governance, ethics, and compliance standards
- Ensure solutions adhere to security, privacy, and regulatory requirements
- Implement model explainability, bias detection, and monitoring mechanisms
5. Delivery Oversight
- Guide development teams through implementation
- Review code, models, and architectures to ensure quality
- Drive PoCs to production-ready solutions
Requirements
- Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
- 10+ years of experience in technology, with 5+ years in AI/ML architecture or solutioning
- Strong experience in:
- Machine Learning, Deep Learning, NLP, or Generative AI
- Designing distributed and scalable systems
- API-first and microservices architecture
- Hands-on experience with:
- Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
- Data platforms (Spark, Databricks, Snowflake)
Preferred Skills:
- Experience in Generative AI / LLM-based solutions
- Knowledge of RAG architectures, prompt engineering, vector databases
- Familiarity with DevOps / MLOps pipelines
- Experience in regulated industries (Banking, Healthcare, etc.)
- Strong communication and presentation skills
Key Competencies:
- Solution-oriented mindset
- Strategic thinking with hands-on execution ability
- Strong problem-solving and analytical skills
- Ability to influence senior stakeholders
Top Skills
AWS
Azure
Databricks
GCP
Kubeflow
Mlflow
Python
PyTorch
Sagemaker
Snowflake
Spark
TensorFlow
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Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
