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.