Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.
Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.
Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.
Expertise in advanced prompt engineering and Chain-of-Thought techniques.
Proven track record delivering 3+ production-grade GenAI applications.
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.
Full lifecycle management of ML models, from development to monitoring in production.
Seamless integration of AI/ML models into enterprise-grade applications and platforms.
Strong background in full-stack development (MERN stack or equivalent).
Deployment expertise across on-premises, cloud, and hybrid environments.
Advanced Kubernetes skills for orchestration and scaling.
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).
Proven ability to design and manage APIs and microservices (REST, GraphQL).
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.
Deep knowledge of AWS, Azure, or GCP with ML/AI services.
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.
Demonstrated team leadership experience with measurable outcomes.
Strong focus on delivery excellence, scalability, and long-term maintainability.
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).
Excellent communication and stakeholder management skills.
Solid experience in Agile/Scrum leadership, driving productivity and team performance.
Priority expertise:
Generative AI Leadership
AI/ML Foundation
Enterprise Architecture & Hybrid Deployments
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.
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GenAI & AgenticAI Architect - AbuDhabi - Abu Dhabi, Abu Dhabi, United Arab Emirates - NorthBay Solutions
Description
Job Title: Technology Lead/Architect – AI/ML & GenAI
Experience: 12+ Years
Location: Abu Dhabi, UAE
Employment Type: Full-time
About the Role
NorthBay Solutions is seeking an accomplished GenAI Technology Lead/Architect with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.
Core Responsibilities
Technical Expertise Required
Generative AI Leadership (3+ Years) – PRIMARY
AI/ML Foundation (4–5 Years)
Enterprise Architecture & Deployment (8+ Years)
Cloud & Infrastructure
Proven Delivery
Requirements
Ideal Candidate Profile
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