Senior Technical Engineer (Architect) – Agentic AI Architect (AWS)

Location: Dubai, UAE (Client Site)

Salary: AED 14,000 – AED 17,000 / month

Benefits: Work visa, air tickets, medical insurance, gratuity, paid time off

Experience: 5–8 years of relevant experience

Reference: FZ-AE-485

Job Summary

We are seeking an experienced Agentic AI Architect to design and implement autonomous AI systems capable of planning, reasoning, tool orchestration, memory management, and multi-agent collaboration. The successful candidate will architect enterprise-grade AI ecosystems that integrate Large Language Models with business applications, knowledge bases, APIs, and workflow automation platforms on AWS.

Responsibilities

• Design enterprise multi-agent architectures.
• Develop autonomous AI agents.
• Implement planning and reasoning workflows.
• Build tool-calling frameworks.
• Develop long-term and short-term memory systems.
• Build Retrieval-Augmented Generation (RAG) solutions.
• Design agent orchestration frameworks.
• Integrate enterprise systems including SAP, Oracle, Salesforce, and ServiceNow.
• Define governance, observability, and security standards for AI agents.
• Lead architecture reviews and mentor engineering teams.

Required Skills

Languages

• Python
• TypeScript

Agent Frameworks

• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• LangChain
• OpenAI Agents SDK

AI Platforms

• Amazon Bedrock
• SageMaker
• Hugging Face
• Ollama
• OpenAI
• Anthropic Claude

Knowledge & RAG

• Vector Databases (Pinecone, Milvus, OpenSearch)
• Knowledge Graphs
• Embedding Models
• Hybrid Search
• Semantic Search

AWS

• Bedrock
• Lambda
• ECS
• EKS
• Step Functions
• EventBridge
• API Gateway
• S3
• DynamoDB
• CloudWatch
• IAM

Architecture

• Event-Driven Architecture
• Microservices
• Domain-Driven Design
• Workflow Orchestration
• API Integration
• OAuth2
• JWT

DevOps & Observability

• Docker
• Kubernetes
• Terraform
• GitHub Actions
• Jenkins
• Prometheus
• Grafana
• OpenTelemetry

Preferred Qualifications

• Experience designing production-grade Agentic AI systems.
• Experience with enterprise workflow automation and business process orchestration.
• Knowledge of AI governance, security, model evaluation, and responsible AI practices.
• Experience integrating AI solutions with enterprise platforms such as SAP, Oracle, Salesforce, or ServiceNow.
• AWS Solution Architect or AWS Machine Learning Specialty certification is an advantage.