Job Description, Responsibilities & Requirements
About the Position
We are seeking an experienced AI Architect with 12-15 years of experience to lead AI strategy and implementation across the organization.
Locations
- Bangalore, India
- Chennai, India
- Pune, India
- Coimbatore, India
Responsibilities
AI Strategy & Leadership
- Develop and maintain the enterprise AI roadmap aligned with business objectives.
- Evaluate new AI technologies, frameworks, and vendors to support innovation.
- Define governance frameworks for responsible AI, privacy, security, and ethics.
- Lead AI/ML initiatives across multiple business units.
Architecture & Technical Design
- Design scalable, secure, cloud-native AI/ML architectures (Azure AI, AWS, GCP).
- Define MLOps frameworks for continuous training, deployment, monitoring, and lifecycle management.
- Architect data pipelines, vector databases, LLM orchestration, and retrieval-augmented generation (RAG) systems.
- Select appropriate models (LLMs, CV, NLP, Generative AI, predictive analytics) based on business needs.
Solution Development
- Provide technical leadership for building and deploying AI applications.
- Work with data scientists, ML engineers, and software teams to deliver production-grade models.
- Optimize AI workloads for cost, performance, and scalability.
- Oversee integration of AI into products, platforms, and enterprise systems.
Stakeholder Collaboration
- Translate business challenges into AI use cases with measurable outcomes.
- Work with product owners, data teams, and business leaders to prioritize initiatives.
- Present AI strategy and technical recommendations to executives and leadership teams.
Risk, Compliance & Responsible AI
- Ensure compliance with data protection laws (GDPR, HIPAA, DPDP, etc.).
- Create explainability and transparency frameworks for AI decisions.
- Implement controls to prevent bias, model drift, and data misuse.
Requirements
Required Skills & Experience
-
Technical Skills
- 12–15+ years of overall experience, with 4+ years in AI/ML architecture or leadership roles.
- Strong understanding of:
- Machine learning, deep learning, NLP, LLMs, RAG, transformers.
- Cloud platforms: Azure AI, AWS Sagemaker, or Google Vertex AI.
- MLOps tools: MLflow, Databricks, Kubeflow, Airflow, Docker, Kubernetes.
- Data engineering: Spark, Databricks, Data Factory, pipelines, ETL/ELT.
- Programming: Python, SQL; familiarity with TensorFlow/PyTorch.
- Experience designing enterprise-grade AI systems and microservices architectures.
-
Soft Skills
- Strong communication and stakeholder-management skills.
- Ability to balance technical depth with strategic thinking.
- Leadership experience with cross-functional teams.
Preferred Qualifications
- Master’s or bachelor’s degree in Computer Science, AI, Data Science, or related fields.
- Certifications in cloud (Azure AI Engineer, AWS ML Specialty, etc.).
- Experience implementing generative AI and LLM solutions in production.
- Background in industry-specific domains (finance, telecom, retail, healthcare, etc.).
We Offer
- Competitive salary
- Opportunity to work in a dynamic and innovative environment
- Collaborative and inclusive workplace culture
About the Company
Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate.
Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.