Agentic AI Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Agentic AI Architect based in India.

This is a senior technical leadership role at the forefront of enterprise AI innovation, focused on designing and delivering next-generation agentic AI systems. You will architect scalable, secure, and production-ready multi-agent frameworks that solve complex business problems across enterprise environments. The role blends deep hands-on architecture with strategic leadership, requiring you to define AI standards, governance models, and deployment best practices. You will work across engineering, product, and business teams to translate real-world challenges into intelligent AI-driven solutions. A strong focus will be placed on building systems using modern GenAI and agent orchestration techniques, ensuring reliability, observability, and compliance at scale. This position offers high ownership, exposure to cutting-edge AI technologies, and the opportunity to shape enterprise AI strategy end-to-end.

Accountabilities:

• Design and architect enterprise-grade multi-agent AI systems with strong emphasis on scalability, security, reliability, and maintainability.
• Build and deploy agentic AI solutions using orchestration frameworks, RAG pipelines, memory systems, evaluation layers, and safety guardrails.
• Architect AI platforms leveraging AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and related cloud-native technologies.
• Design secure integrations between AI systems and enterprise ecosystems, including legacy applications, identity systems, and hybrid cloud environments.
• Define and implement AI governance frameworks covering observability, explainability, compliance, auditability, monitoring, and responsible AI principles.
• Establish production-grade standards for model evaluation, drift detection, reliability testing, and continuous AI performance monitoring.
• Conduct architecture and design reviews to ensure alignment with enterprise-grade security, scalability, and operational standards.
• Develop reusable architecture blueprints, best practices, and technical documentation to support scalable AI delivery across teams.
• Collaborate with stakeholders to translate business requirements into robust AI architecture and implementation roadmaps.
• Support pre-sales and client-facing engagements, including solution design, technical workshops, estimations, and presentations.
• Provide technical leadership and mentorship to engineering teams, driving excellence in AI engineering practices.
• Stay updated with advancements in Agentic AI, Generative AI, cloud platforms, and enterprise AI governance to continuously evolve architecture practices.

Requirements

• 7+ years of overall technology experience, with 3–5+ years focused on production-grade AI, GenAI, or Agentic AI systems.
• Proven expertise in designing and implementing multi-agent AI architectures in enterprise environments.
• Strong hands-on experience with AWS services, including Amazon Bedrock, SageMaker, Lambda, and API Gateway.
• Deep understanding of agentic AI concepts such as orchestration, RAG, memory systems, AI evaluation, and guardrails.
• Experience integrating AI systems with enterprise platforms, secure networks, identity systems, and hybrid cloud infrastructures.
• Strong knowledge of AI governance, compliance, explainability, observability, and responsible AI frameworks.
• Expertise in model monitoring, drift detection, evaluation methodologies, and production AI reliability practices.
• Strong understanding of distributed systems, cloud-native architecture, and enterprise integration patterns.
• Excellent communication skills with ability to engage both technical teams and executive stakeholders.
• Experience in solution architecture, pre-sales support, technical workshops, and delivery governance.
• Demonstrated leadership ability to mentor engineers and drive architectural consistency across projects.
• Exposure to multi-cloud or large-scale enterprise transformation programs is a plus.

Benefits

• Competitive compensation package ranging from ₹20 LPA to ₹50 LPA, based on experience and skills.
• Fully remote role based in India with flexibility in work arrangements.
• Opportunity to design and lead cutting-edge Agentic AI architectures at enterprise scale.
• High-impact role with ownership over AI strategy, governance, and platform design.
• Exposure to modern GenAI ecosystems, AWS AI services, and advanced multi-agent frameworks.
• Strong technical leadership growth and opportunity to influence enterprise-wide AI adoption.
• Collaborative environment working with senior engineering, architecture, and business teams.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Agentic AI Architect based in India.

This is a senior technical leadership role at the forefront of enterprise AI innovation, focused on designing and delivering next-generation agentic AI systems. You will architect scalable, secure, and production-ready multi-agent frameworks that solve complex business problems across enterprise environments. The role blends deep hands-on architecture with strategic leadership, requiring you to define AI standards, governance models, and deployment best practices. You will work across engineering, product, and business teams to translate real-world challenges into intelligent AI-driven solutions. A strong focus will be placed on building systems using modern GenAI and agent orchestration techniques, ensuring reliability, observability, and compliance at scale. This position offers high ownership, exposure to cutting-edge AI technologies, and the opportunity to shape enterprise AI strategy end-to-end.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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