Gen AI Architect

Coforge; Dadri; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Coffice Coforge is seeking an experienced AI Architect in India to design and scale enterprise AI/ML solutions. You will define AI strategy, architect end‑to‑end AI platforms, and guide teams on best practices.

You will collaborate with business, data science, and engineering teams to translate use cases into scalable AI solutions and drive adoption of Generative AI, LLMs, NLP and computer vision. Strong governance and cloud expertise are essential.

Qualifications

• Proven experience in AI/ML architecture and scalable system design.
• Strong knowledge of AI governance, ethics, and compliance.
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps principles.

Responsibilities

• Define and lead AI/ML architecture for enterprise-scale solutions.
• Design end-to-end AI platforms covering data ingest, modeling, deployment, and monitoring.
• Collaborate with business, data science, and engineering teams to translate use cases into AI solutions.
• Drive adoption of Generative AI, LLMs, NLP, CV and advanced analytics.
• Mentor teams and establish AI standards, frameworks, and best practices.
• Ensure governance around model performance, security, ethics, and compliance.
• Oversee data pipelines, APIs, microservices, and containerization.

Job description

We are looking for an experienced AI Architect to design, build, and scale enterprise‑grade AI/ML solutions that drive business impact. This role involves defining AI strategy, architecting end‑to‑end AI platforms, and guiding teams on best practices.

• Define and lead AI/ML architecture for scalable, secure, and production‑ready solutions
• Design end‑to‑end AI platforms covering data ingestion, model development, deployment, and monitoring
• Collaborate with business, data science, and engineering teams to translate use cases into AI solutions
• Drive adoption of Generative AI, LLMs, NLP, Computer Vision, and Advanced Analytics
• Ensure governance around model performance, security, ethics, and compliance
• Mentor teams and establish AI standards, frameworks, and best practices
• Strong experience in AI/ML system architecture and solution design
• Experience with LLMs, GenAI, MLOps, Model Deployment & Monitoring
• Solid understanding of Cloud platforms (AWS / Azure / GCP)
• Experience with data pipelines, APIs, microservices, and containerization
• Excellent stakeholder management and leadership skills

Good to Have:

• Experience in AI governance, responsible AI, and model explainability
• Exposure to industry‑specific AI use cases