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AIML SOLUTION ARCHITECT
Job Location:
Monthly Salary:
Experience Required:
Posted:
17 October 2026 (18 hours ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Summary
We are seeking a seasoned AI/ML Solution Architect to lead the design and implementation of sophisticated artificial intelligence systems within the IT Services sector. This pivotal role involves orchestrating end-to-end machine learning lifecycles ensuring robust cloud infrastructure and driving strategic technical decisions that align with business objectives. The ideal candidate will serve as a bridge between complex data science concepts and scalable production environments delivering secure high-performance AI solutions that leverage cutting-edge technologies and foster cross-functional innovation.
Responsibilities
- Design and oversee the architecture of comprehensive AI and machine learning solutions from conception to production deployment.
- Establish and enforce AI security protocols and governance frameworks to ensure data integrity and regulatory compliance.
- Architect scalable cloud-native environments utilizing AWS Azure or GCP AI services to support high-volume model inference and training.
- Develop strategies for continuous model monitoring performance optimization and lifecycle management in live production settings.
- Lead cross-functional initiatives collaborating with engineering product and business teams to translate requirements into technical specifications.
- Engineer efficient Python-based APIs and integration layers to facilitate seamless interaction between AI models and existing enterprise systems.
- Drive the adoption of best practices for building resilient scalable and maintainable machine learning pipelines.
Requirements
Requirements:
- Possess 8 to 12 years of professional experience within the IT Services domain with a significant focus on AI and machine learning technologies.
- Demonstrate deep expertise in designing end-to-end AI/ML architectures suitable for enterprise-scale applications.
- Proven proficiency in cloud platforms specifically leveraging AI services across AWS Microsoft Azure or Google Cloud Platform.
- Strong command of Python programming and API development principles for model integration and service delivery.
- Extensive background in implementing model monitoring mechanisms and optimization techniques for production environments.
- Demonstrated ability to collaborate effectively across diverse teams to deliver complex technical solutions.
- Solid understanding of AI security standards and governance policies to mitigate risks and ensure ethical AI usage.
- Competitive compensation package offering up to 30 LPA.
Required Skills:
PRIMARY SKILLS End-to-End AI/ML Architecture Python & API Concepts AWS / Azure / GCP AI Services Generative AI LLMs & RAG Data Pipelines & MLOps SECONDARY SKILLS Cloud Architecture AI Security & Governance Scalable Production Deployment Model Monitoring & Optimization Cross-functional Collaboration
Required Education:
Bachelors degree in computer science Engineering or related field
