CTO - Technical Architect

Job Description

Gen

AI Cloud Architect JD:

Key Responsibilities:

• Platform Architecture & Design
• Define and evolve the reference architecture for the AMS/IMS/ADM platform leveraging Agentic AI frameworks such as Auto Gen, Lang Graph, and Lang Chain
• Architect multi-agent orchestration capabilities including dynamic process planning, human-in-loop workflows, and autonomous decision-making
• Ensure modular, scalable, and secure architecture that supports multi-tenancy, RBAC, and hybrid cloud deployments (Azure/AWS/GCP)

• Agentic AI Integration

• Design and implement agentic runtimes capable of orchestrating single/multi-agent workflows with capabilities like memory, feedback loops, and long-term learning

• Integrate AI-driven features such as predictive incident management, self-healing systems, and autonomous knowledge management

• Delivery Excellence & Optimization

• Embed AI capabilities to automate QA, predictive maintenance, SLA governance, and intelligent workload allocation

• Drive continuous learning and optimization by leveraging real-time telemetry and historical data to refine models and processes

• Security, Compliance & Governance

• Ensure platform compliance with global standards (e.g., EU AI Act, HIPAA, PCI DSS) and implement mechanisms for content safety, prompt injection prevention, and audit logging

• Lead regular bias audits and ethical reviews of AI models and data pipelines.

• Collaboration & Leadership

• Collaborate with engineering, product, and delivery teams to align platform capabilities with business goals

• Mentor solution architects and engineering leads across AMS, IMS, and ADM domains.

• Engage with stakeholders to define platform KPIs and success metrics.

• Innovation & Roadmap Ownership

• Own the technology roadmap for the platform, including LLM/SLM selection, vector database strategy, and RAG (Retrieval-Augmented Generation) enhancements

• Evaluate emerging technologies and frameworks to continuously evolve the platform’s capabilities.

Desirable Skills & Experience:

• Proven experience in architecting large-scale enterprise platforms with GenAI and AIML integration.
• Good Understanding of AMS/IMS/ADM delivery models and operational workflows.
• Hands-on experience with LLMs, vector databases, and AI orchestration tools.
• Strong knowledge of cloud-native architectures, Dev Sec Ops, and observability frameworks.
• Excellent communication and stakeholder management skills.
• Good Knowledge on atleast one Cloud between Azure, AWS or Google
• Understanding on the Services and Components of Cloud