Experience
8 - 12 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Artificial Intelligence Architect
Job Type
ONSITE
Job Description
Design and build enterprise-grade AI agent systems. Lead hands-on architecture, shape scalable multi-agent workflows, and collaborate with engineering and business teams to deliver production-ready AI solutions.
Hyderabad, India
Full Time (WFO)
Architect AI
Design and Build Enterprise-Grade AI Agent Systems
POSITION OVERVIEW
Role Architect - AI
Reports To Technical Director - AI Agents
Location Hyderabad, India (IST)
Work Model Work from office with occasional client travel
Experience 8-12 years total, 3+ years in AI/ML
THE OPPORTUNITY
As an AI Architect at Covalense Global, you will design and build core components in our flagship product and client-facing AI solutions. This is a hands-on architecture role - you will write code, make design decisions, and lead implementation of complex agent systems.
We are hiring for multiple architect profiles. Based on your strengths, you may focus on Platform Architecture (agent orchestration, registry, lifecycle), Data/ML Architecture (DataOps agents, pipelines), or Solutions Architecture (industry agents, client implementations).
KEY RESPONSIBILITIES
Architecture Design
Design scalable, production-grade architectures for AI agent systems
Define patterns for agent orchestration, state management, and inter-agent communication
Architect integrations between AI agents and enterprise systems (APIs, databases, SaaS platforms)
Create technical specifications, design documents, and architecture decision records
Evaluate and recommend technologies: LLM providers, frameworks, vector DBs, cloud services
Development Implementation
Lead development of complex agent workflows and multi-agent systems
Build reusable components, libraries, and frameworks for AUREUS OS
Implement RAG pipelines, embedding strategies, and knowledge management systems
Develop DataOps agents for pipeline monitoring, data quality, and governance
Write production-quality code with proper testing, documentation, and observability
Technical Leadership
Mentor and guide senior developers and consultants on AI development practices
Conduct code reviews and ensure adherence to architecture standards
Collaborate with AI Evangelists to support POCs and client demos
Participate in technical discussions with clients and provide solution guidance
Contribute to estimation, planning, and technical risk assessment
Join client calls to present solution architecture, demonstrate technical depth, and support pre-sales discussions
Articulate complex AI agent designs to both technical and business audiences during client engagements
TECHNICAL REQUIREMENTS
Must Have
Strong software architecture experience with distributed systems
Hands-on expertise in LLM application development (OpenAI, Anthropic, Google)
Production experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen)
Deep Python proficiency with async programming and API development
Experience with RAG architectures, vector databases, and embedding models
Cloud platform expertise (Azure and/or GCP) including AI/ML services
Strong communication skills - can articulate technical decisions to stakeholders
Nice to Have (based on focus area)
Platform Focus: Kubernetes, microservices, event-driven architecture, API gateway patterns
Data/ML Focus: DataOps tools, Airflow/Dagster, data quality frameworks, MLOps
Solutions Focus: FMCG/Retail domain, enterprise integrations (SAP, Salesforce)
Experience with streaming systems (Kafka, Pub/Sub) and real-time processing
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.