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Architect / lead for Agentic AI Solutions Practice
SPECTRAL CONSULTANTSChennai, Tamil Nadu, India13 hours ago
Job descriptionTech Stack Leadership : Define and evolve the technology stack for agent orchestration, planning, tool use, and long-term memory systems. Architect Agentic Systems : Design modular, scalable, and robust AI architectures that support autonomy, memory, reasoning, and multi-agent collaboration. Define best practices for API gateways, identity / authentication, rate limiting, observability, and monitoring. Cross-functional Collaboration : Partner with ML engineers, product managers, and domain experts to align architecture with business and user needs. Innovation & Research : Stay abreast of the latest advances in agentic AI, LLMs, reinforcement learning, neuro-symbolic methods, and real-time systems.
Must Have skills and Experience :
- Min 8+ years' proven experience with AI / ML, LLMs, Agentic workflows and enterprise integration tech stack with solution building
- Exposure of architecting complex AI or software systems at scale.
- Deep understanding of LLMs, multi-agent systems, planning algorithms, and memory architectures.
- Proficiency in relevant languages and latest frameworks (e.g., Python, TensorFlow / PyTorch, LangChain, AgentGPT, or similar).
- Strong systems thinking and ability to lead architectural decisions across full AI stack.
- Strong understanding of API-first architecture, integration patterns (REST, GraphQL, gRPC, event-driven, streaming), and enterprise middleware.
- Hands-on experience with cloud-native platforms (Azure / AWS / GCP), microservices, containers (Docker / Kubernetes), and distributed systems.
- Demonstrated ability to guide and mentor technical teams.
Key Skills and Responsibilities :
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