Job Title: AI Architect
Skills: AI Architect, Model Context Protocol (MCP), AWS Terraform, Amazon Bedrock (Claude), SageMaker, and Kendra, Agentic framework,
Experience: 15+ Years
Location: Fort mill, SC (Onsite 3 days)
Job Type: Full Time
We at Coforge are hiring for AI Architect with the following skills:
- We are seeking a highly hands-on AI Architect who designs, builds, and enables end-to-end AI solutions rather than providing superficial or advisory-only guidance.
- This role requires deep technical ownership across architecture, implementation, integration, and adoption of AI solutions within engineering teams.
- The ideal candidate will actively code, guide teams through implementation, and ensure AI capabilities are embedded into day-to-day development workflows with measurable business and engineering outcomes.
- Architect, design, and build end-to-end enterprise AI solutions, from concept through production deployment.
- Provide hands-on implementation guidance by actively contributing code, patterns, and reference implementations alongside engineering teams.
- Design and implement Model Context Protocol (MCP), model routing, orchestration, and lifecycle management for multi-model AI solutions.
- Build AI orchestration layers integrating models, tools, and services to support scalable and reusable AI capabilities.
- Integrate AI solutions into existing engineering ecosystems, including Jenkins-based CI/CD pipelines.
- Enable and drive AI adoption across development teams by embedding AI workflows into standard SDLC practices.
- Define, track, and report success metrics for AI adoption, including developer productivity, quality improvements, and operational efficiency.
- Collaborate closely with Product, Engineering, Platform, and DevOps teams to ensure secure, compliant, and scalable AI implementations.
- Python and Java
- Typescript
- GitHub Copilot or Playwright or Cursor.AI Good-to-Have Skills
- AWS Terraform or any similar IaaC
- Amazon Bedrock (Claude), SageMaker, and Kendra
- Agentic framework, MCP Required Qualifications
- Proven experience as an AI Architect or Senior AI Engineer delivering enterprise-scale AI solutions.
- Strong hands-on development experience in Python and Java.
- Demonstrated ability to design and implement end-to-end AI architectures, not limited to high-level design documents.
- Experience building Model Control Planes (MCP), model routing, and orchestration frameworks.
- Solid experience integrating AI solutions with CI/CD tools such as Jenkins.
- Strong understanding of software engineering best practices, SDLC, and DevOps.
- Ability to translate architectural vision into executable.
