Agentic AI Architect

11 hours, 30 minutes ago
Full-time
Senior
Software Development
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design and architect enterprise-scale multi-agent AI systems with a focus on scalability, security, and reliability.
  • Develop AI solutions using agent orchestration, Retrieval-Augmented Generation (RAG), memory management, evaluation frameworks, and AI guardrails.
  • Architect AI platforms on AWS using services such as Amazon Bedrock, SageMaker, Lambda, and API Gateway.
  • Design secure integrations between AI solutions and enterprise applications, legacy systems, identity platforms, virtual private clouds, and hybrid cloud environments.
  • Define governance frameworks covering explainability, monitoring, compliance, observability, auditability, and responsible AI practices.
  • Establish production standards for model evaluation, drift detection, reliability testing, and continuous performance monitoring.
  • Conduct architecture reviews to ensure alignment with enterprise security, scalability, and operational standards.
  • Develop reusable architecture patterns, technical documentation, implementation frameworks, and best practices for AI delivery.
  • Collaborate with cross-functional teams to translate business requirements into AI architecture and implementation roadmaps.
  • Support pre-sales efforts through solution design, technical workshops, effort estimation, and client presentations.
  • Provide technical leadership and mentorship to engineering teams across multiple engagements.

Requirements

  • 6–8 years of overall technology experience.
  • 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, and API Gateway.
  • Deep understanding of Agentic AI concepts, including orchestration, RAG, memory architectures, AI evaluation, and guardrails.
  • 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, including presenting to technical and executive audiences.
  • Experience supporting solution architecture, technical pre-sales, estimation, and delivery governance.
  • Exposure to multi-cloud environments and enterprise-scale digital transformation initiatives is an added advantage.
  • 7+ years of experience is indicated in the role details.
  • Remote (India) location and full-time availability are specified.

Benefits

  • Remote work from India.
  • Full-time employment.
  • Salary range of Rs 20,00,000 to Rs 50,00,000 per year (INR 20–50 LPA).

Interested in this position?

Apply directly on the company website

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