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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!
Hiring Related Queries
India:
HiringsupportIndia@fractal.ai
Outside India:
HiringsupportROW@fractal.ai
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