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AI Platform Architect: Agentic & Generative AI - Cogentiq
About 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!
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