Coforge
AI Architect
Skills
24 days ago
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Important information
Contract type:
Permanent
Location:
Chicago, IL, USA
Work mode:
Onsite
Published on:
29 September 2026
What they need
Role : AI Architect
Skills : AI/ML Models and Algorithms and Expertise in Data Architecture
Experience: 12+ years
Location : Chicago, Illinois, USA
We at Coforge are hiring an AI Architect with following skill-set:
Key Responsibilities:
- Lead the design and implementation of end-to-end AI systems. Take foundational models from existing platforms and fine-tune them with data to achieve specific outcomes.
- Lead the implementation of best practices for deploying and serving various types of AI models. Provide expertise in ML practices, CI/CD pipelines, and infrastructure to automate the deployment, versioning, and lifecycle management.
- Architect and deploy AI solutions on AWS and other major cloud platforms, with a hands-on emphasis on using cloud-native services for computation, storage, and networking.
- Utilize exceptional proficiency in Python and other relevant languages to build high-performance, production-ready AI services and tools.
- Performance Tuning: Design and implement monitoring and alerting solutions to evaluate model performance, data drift, and system health in production.
- Lead and mentor a team of engineers, guiding architectural decisions, ensuring code quality through rigorous code reviews, and establishing best practices for development.
Required Skills & Expertise:
- Proven experience in developing data and services in an enterprise and/or cloud environment.
- Good experience with GenAI.
- Lead the Architecture and Design.
- Translate Business Needs/ QE needs into AI Solutions.
- Design and Implement AI/ML Models and Algorithms.
- Expertise in Data Architecture.
- Deep understanding of AI systems, model governance, and risk frameworks.
- Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala.
- Strong working knowledge of data engineering technologies, data modelling tools, and ETL strategies.
- Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
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