AI Architect
Location
India
Posted
7 days ago
Salary
₹2,000K - ₹5,000K / year
Seniority
Lead
Job Description
AI Architect
Weekday
• Lead the design, architecture, and deployment of enterprise-grade AI solutions built on modern agentic AI frameworks. • Define end-to-end AI architecture, establish governance standards, and ensure scalable, secure, and production-ready AI systems. • Collaborate with engineering teams, solution architects, business stakeholders, and client leadership to transform complex business challenges into innovative AI-driven solutions. • Establish AI architecture standards, define governance and observability frameworks, ensure regulatory compliance, and drive technical excellence across multiple engagements.
Job Requirements
- 7+ years of overall technology experience
- 6–8 years of overall technology experience with 3–5 years of hands-on experience building and deploying production-grade AI or Agentic AI systems.
- Proven expertise in designing and implementing multi-agent AI architectures for enterprise environments.
- Strong experience with AWS cloud services, including Amazon Bedrock, SageMaker, Lambda, API Gateway, and AI-focused cloud architectures.
- Deep understanding of Agentic AI concepts, including orchestration, RAG, memory architectures, AI evaluation, and guardrail implementation.
- Experience integrating AI solutions with enterprise applications, hybrid infrastructure, identity management systems, and secure networking environments.
- Strong knowledge of AI governance, explainability, observability, compliance, risk management, and responsible AI practices.
- Expertise in defining AI monitoring frameworks, model evaluation strategies, drift detection, and production reliability standards.
- Excellent understanding of enterprise architecture principles, cloud-native application design, and distributed systems.
- Strong stakeholder management and communication skills with the ability to present technical strategies to both technical and executive audiences.
- Experience supporting solution architecture, technical pre-sales, estimation, and delivery governance.
- Demonstrated leadership skills with the ability to mentor engineering teams and drive architectural excellence across multiple projects.
- Exposure to multi-cloud environments and enterprise-scale digital transformation initiatives is an added advantage.
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