AI Platform Architect Agentic & Generative AI - Cogentiq

It's fun to work in a company where people truly BELIEVE in what they are doing! _We're committed to bringing passion and customer focus to the business._ **AI Platform Architect: Agentic & Generative AI - Cogentiq** **About** [Cogentiq](http://fractal.ai/products/cogentiq/) **(Fractal’s Agentic AI Platform):** Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to **build, test, deploy, monitor** agents and multi‑agent workflows with strong **observability, evaluation, guardrails and RBAC** across any cloud or LLM framework. It includes a **no/low‑code development console**, **Agent & MCP Gateways**, and an enterprise marketplace for reusable **agents, tools, connections and guardrails**. Role Overview ------------- As an **AI Platform Architect**, you will design and scale **enterprise-grade Agentic AI and Generative AI platforms** that power copilots, autonomous workflows, and multi-agent systems. This is a hands-on architect role for a builder who combines deep distributed-systems thinking with practical expertise in LLMs, agent orchestration, and cloud-native platforms. You will define reference architectures, engineering standards, and core platform capabilities that enable teams to build, deploy, and operate AI systems at scale. Key Responsibilities -------------------- ### Platform & Architecture Leadership * Architect **scalable Agentic AI platforms** supporting multi-agent orchestration, tool usage, memory, planning, and reasoning workflows * Design **end-to-end GenAI platforms**, including: * Prompt orchestration * Retrieval-Augmented Generation (RAG) pipelines * Vector databases * LLM integrations * Define modular, **microservices-based, API-first architectures** enabling rapid development of AI copilots and autonomous systems ### Agentic & GenAI Systems * Define architectural patterns for: * Agent orchestration and coordination * Planning, reflection, and reasoning loops * Human-in-the-loop and feedback-driven systems * Evaluate and integrate emerging frameworks such as **LangChain, LlamaIndex, AutoGen, CrewAI**, and related ecosystems into enterprise platforms ### Production Readiness & Reliability * Ensure **production-grade reliability** across AI platforms, including: * Observability and monitoring * Evaluation and experimentation frameworks * Guardrails, safety, and governance * Cost optimization for LLM-based systems * Lead architecture across **LLMOps, MLOps, and platform operations** ### Cloud, DevOps & Infrastructure * Drive cloud-native platform architecture using **AWS, Azure, or GCP** * Lead **Kubernetes-based deployments**, CI/CD pipelines, and Infrastructure as Code (IaC) * Ensure scalability, security, and resilience of AI workloads ### Collaboration & Technical Leadership * Partner with **data science, product, and business teams** to translate AI use cases into robust platform capabilities * Mentor senior engineers and architects; set **engineering standards, reference architectures, and best practices** * Act as a technical thought leader for enterprise AI platform strategy Required Skills & Experience ---------------------------- * **12–15 years** of experience in **platform engineering / architecture**, with strong depth in distributed systems * Deep expertise in **cloud platforms (AWS / Azure / GCP)** and Kubernetes-based architectures * Hands-on experience with **LLMs, RAG architectures, and vector databases** (e.g., Pinecone, FAISS, Weaviate) * Strong understanding of **agentic frameworks, multi-agent systems, and orchestration patterns** * Experience across **LLMOps / MLOps**, including: * Model deployment * Monitoring and evaluation * Lifecycle and version management * Proficiency in **microservices, APIs, event-driven systems**, and scalable backend engineering * Strong coding experience in **Python / Java / Go**, with system-design depth * Experience working with **data platforms** (real-time + batch, large-scale data processing) * Solid understanding of **AI safety, governance, and responsible AI frameworks** Good to Have ------------ * Experience building **enterprise AI copilots or autonomous workflows** * Exposure to reasoning frameworks, **chain-of-thought orchestration**, and agent memory systems * Prior **consulting or client-facing experience** leading AI-driven transformations What We’re Looking For ---------------------- A **builder–architect** who combines deep engineering rigor with a strong grasp of **Agentic and Generative AI**—someone who can turn cutting-edge AI concepts into **scalable, secure, and production-ready enterprise platforms**. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! ### **Hiring Related Queries** India: [[email protected]](mailto:[email protected]) Outside India: [[email protected]](mailto:[email protected]) This inbox does not process resume submissions. All applications must be made through posted job openings Not the right fit?  Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!