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Happiest Minds Technologies

<div>
 
 Job Description
 
 
 
 Own end-to-end AI/ML architecture: design ,build, deploy,scale , govern Define secure, compliant, enterprise-grade architectures for banking workloads Lead AI/ML engineers and provide architectural guidance and technical direction Design Agentic AI / GenAI platforms, RAG pipelines, and MLOps frameworks Drive cloud-native deployments with CI/CD, monitoring, and cost optimization Ensure data governance, security, compliance, and audit readiness (banking standards) Partner with business stakeholders to translate use cases into scalable AI solutions
</div>

AI ARCHITECT - AI ARCHITECT

Delphi Consulting Middle East

<div>
 
 We are looking for a GenAI Architect to lead the enterprise-scale architecture of our Agentic AI platform. This role blends distributed systems, applied AI, and platform engineering to deliver secure, scalable, production-grade GenAI solutions.
 
 
 The ideal candidate is tool-agnostic and architecture-focused, with the ability to combine Microsoft&rsquo;s AI ecosystem with best-in-class open-source frameworks.
 
 
 
 
 
 
 What You Will Do
 
 
 
 
 
 
 
 Agentic System Architecture
 
 
 <ul>
 <li>
 Architect and implement multi-agent systems using frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, CrewAI, or AutoGen
 </li>
 <li>
 Design hybrid orchestration combining agentic reasoning and deterministic workflows
 </li>
 <li>
 Implement agent-to-agent communication and Model Context Protocol for tool discovery and invocation
 </li>
 </ul>
 
 
 Retrieval, Reasoning, and Knowledge Systems
 
 
 <ul>
 <li>
 Build enterprise-grade RAG and Agentic-RAG pipelines using Azure AI Search or open-source vector platforms such as LlamaIndex, Haystack, Milvus, Weaviate, or Qdrant
 </li>
 <li>
 Enable multi-hop reasoning across structured and unstructured data
 </li>
 <li>
 Integrate with Microsoft Fabric, Dataverse, Cosmos DB, and enterprise data lakes
 </li>
 </ul>
 
 
 AI Governance, Safety, and Observability
 
 
 <ul>
 <li>
 Design governance layers for prompt filtering, PII protection, content moderation, and policy enforcement
 </li>
 <li>
 Implement observability for prompts, agent actions, cost, latency, and risk
 </li>
 <li>
 Use tools such as Microsoft Purview, AI Content Safety, Guardrails AI, NeMo Guardrails, Arize Phoenix, LangSmith, MLflow, or OpenTelemetry
 </li>
 </ul>
 
 
 LLMOps and Model Infrastructure
 
 
 <ul>
 <li>
 Own the full LLM lifecycle including prompt flows, routing, evaluation, versioning, and deployment
 </li>
 <li>
 Work with Azure OpenAI and open-source models such as Llama, Mistral, and Qwen
 </li>
 <li>
 Build CI/CD pipelines using GitHub Actions, Azure DevOps, MLflow, BentoML, or similar
 </li>
 <li>
 Design scalable inference on Kubernetes and cloud using vLLM, TGI, KubeRay, SkyPilot, or managed services
 </li>
 </ul>
 
 
 Backend and Integration
 
 
 <ul>
 <li>
 Build AI control planes in Python (FastAPI, asyncio, Pydantic) and/or C# (.NET)
 </li>
 <li>
 Implement tool-calling APIs, workflows, agent memory, and enterprise system integrations
 </li>
 </ul>
 
 Human-in-the-Loop Interfaces
 
 <ul>
 <li>
 Build real-time AI interfaces using React and TypeScript
 </li>
 <li>
 Enable streaming responses via WebSockets or Server-Sent Events
 </li>
 <li>
 Create dashboards for approval, override, and guidance of agent actions
 </li>
 <li>
 Integrate solutions into Microsoft Teams, web portals, developer tools, and VS Code AI Toolkit
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 
 
 
 Core Engineering
 
 
 <ul>
 <li>
 8+ years in backend, platform, or distributed systems
 </li>
 <li>
 Strong expertise in Python and/or C#
 </li>
 <li>
 Experience building APIs, microservices, and event-driven systems
 </li>
 </ul>
 
 
 GenAI and Agent Systems
 
 
 <ul>
 <li>
 3+ years building production-grade GenAI solutions
 </li>
 <li>
 Experience with agent frameworks, RAG, tool-calling, and agent memory
 </li>
 </ul>
 
 
 Data and Search
 
 
 <ul>
 <li>
 Experience with Azure AI Search or vector databases
 </li>
 <li>
 Strong understanding of embeddings, hybrid search, and retrieval pipelines
 </li>
 </ul>
 
 
 AI Safety and Observability
 
 
 <ul>
 <li>
 Experience implementing guardrails, policy engines, and LLM monitoring
 </li>
 <li>
 Tracing, evaluation, and telemetry for AI systems
 </li>
 </ul>
 
 
 LLMOps and Infrastructure
 
 
 <ul>
 <li>
 CI/CD for AI workloads
 </li>
 <li>
 Model experimentation and tracking
 </li>
 <li>
 Azure, Docker, Kubernetes, Terraform or Pulumi
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 At Delphi, we provide a supportive, growth-focused environment. You will receive competitive compensation, performance-based incentives, and comprehensive health benefits. We invest in your growth through company-sponsored certifications, training programs, and continuous learning opportunities.
 
 
 We promote an inclusive and flexible culture with remote work options, fully supported work-from-home setups, wellness programs, and a strong focus on mental well-being.
 
</div>

Gen AI Architect

Nagarro

<div>
 
 Job Description
 
 
 
 Design and deliver
 
 enterprise-grade AI solutions
 
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 
 scalable, secure, and cloud-native AI architectures
 
 aligned with enterprise standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
 </li>
 <li>
 Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
 </li>
 <li>
 Implement vector databases with advanced indexing and low-latency retrieval.
 </li>
 <li>
 Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
 </li>
 <li>
 Collaborate with stakeholders and communicate technical decisions clearly.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design
 </li>
 <li>
 Cloud-Native GenAI Development
 </li>
 <li>
 Data Science on Azure
 </li>
 <li>
 Machine Learning Solution Design
 </li>
 <li>
 Advanced RAG Workflow
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Solution Architect

EPAM Systems

<div>
 
 EPAM is seeking a highly skilled and experienced
 
 AI Solutions Architect
 
 to join our team. The ideal candidate will be responsible for designing and implementing innovative solutions using
 
 Azure AI
 
 and
 
 Azure OpenAI
 
 services. This role is critical in automating and enhancing system maintenance notifications through AI-driven text generation, classification and validation, contributing to scalable and efficient system performance. You will work across the entire lifecycle of the product, from concept and design to deployment, ensuring seamless integration and continuous improvement.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design robust, scalable and secure cloud-native solutions that leverage Azure AI and OpenAI technologies and services
 </li>
 <li>
 Oversee the implementation process, ensuring alignment with business objectives and industry best practices
 </li>
 <li>
 Develop automated processes for classification, validation and generating text suggestions using Azure AI
 </li>
 <li>
 Integrate AI solutions into existing systems to optimize communication and data processing
 </li>
 <li>
 Establish and maintain a CI/CD pipeline for continuous integration and delivery using Azure DevOps
 </li>
 <li>
 Monitor cloud implementations and make recommendations for improvements in terms of performance, cost-efficiency and security
 </li>
 <li>
 Ensure that all cloud solutions comply with industry regulations and security standards
 </li>
 <li>
 Work closely with clients to understand their business needs and technical requirements
 </li>
 <li>
 Provide expert guidance and architectural recommendations for cloud modernization, configurations and optimizations
 </li>
 <li>
 Lead proof of concept (PoC) initiatives to validate proposed solutions and demonstrate their feasibility
 </li>
 <li>
 Foster a collaborative environment and ensuring successful project delivery
 </li>
 <li>
 Stay abreast of the latest Azure services and technologies
 </li>
 <li>
 Advocate for innovative Gen-AI cloud solutions that can enhance business performance and provide competitive advantages
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems or a related field
 </li>
 <li>
 At least 5-7 years of experience working with Microsoft Azure, covering solution design, implementation and management in a cloud environment
 </li>
 <li>
 At least 2-3 years of experience with AI/Gen-AI technologies, specifically with Azure AI and Azure OpenAI services
 </li>
 <li>
 Extensive experience in architecting, deploying and managing solutions using Azure AI and Azure OpenAI services
 </li>
 <li>
 Deep understanding of Azure architecture, services and best practices
 </li>
 <li>
 Strong knowledge of natural language processing (NLP) and automated text generation
 </li>
 <li>
 Expertise in designing serverless architectures and integrating AI-driven automation solutions
 </li>
 <li>
 Hands-on experience with CI/CD pipelines and Azure DevOps
 </li>
 <li>
 Deep understanding of software development lifecycles and best practices in cloud environments
 </li>
 <li>
 Azure Solutions Architect Expert certification or other relevant Azure certifications
 </li>
 <li>
 Excellent verbal and written communication abilities; proficient at engaging with clients and stakeholders at all levels
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to lead projects and collaborate with multiple stakeholders
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Fluency in Arabic is strongly preferred for this role, as it will facilitate effective communication and collaboration with our regional teams and stakeholders
 </li>
 </ul>
 
 &nbsp;
 
 
 
 We offer
 
 
 <ul>
 <li>
 End of service gratuity
 </li>
 <li>
 Private healthcare and life insurance
 </li>
 <li>
 Employee assistance program
 </li>
 <li>
 Wellness program
 </li>
 <li>
 Annual air travel allowance for expatriates
 </li>
 <li>
 Regular performance feedback and salary reviews
 </li>
 <li>
 Global travel medical and accident insurance
 </li>
 <li>
 Referral bonuses
 </li>
 <li>
 Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
 </li>
 </ul>
</div>

Azure AI Solution Architect

HireOn

<div>
 
 
 Senior GenAI &amp; Agentic AI Architect &ndash; (Onsite in Abu Dhabi office, UAE)
 
 
 
 
 
 Location:
 
 Abu Dhabi office
 
 
 
 Client: UAE Emirates/Government
 
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a
 
 high-caliber Senior Generative AI Architect
 
 with proven hands-on experience in building
 
 Agentic AI applications
 
 .
 
 
 This role is ideal for someone who has
 
 15+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
 </li>
 <li>
 Architect and implement multi-agent systems for enterprise-grade solutions
 </li>
 <li>
 Integrate AI agents with APIs, databases, internal tools, and external SaaS products
 </li>
 <li>
 Lead and mentor a cross-functional team across global time zones
 </li>
 <li>
 Optimize performance, context retention, tool usage, and cost efficiency
 </li>
 <li>
 Build reusable pipelines and modules to support GenAI use cases at scale
 </li>
 <li>
 Ensure enterprise-grade security, privacy, and compliance standards in deployments
 </li>
 <li>
 Collaborate directly with clients and senior stakeholders
 
 
 </li>
 </ul>
 
 Ideal Candidate Profile
 
 
 
 <ul>
 <li>
 Min 15+ years of professional experience in software engineering and AI/ML
 </li>
 <li>
 3+ years of practical experience in LLM-based application development
 </li>
 <li>
 Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
 </li>
 <li>
 OpenAI, Claude, Gemini, Mistral, or Llama2
 </li>
 <li>
 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
 </li>
 <li>
 Prompt engineering, RAG, memory/context management
 </li>
 <li>
 Serverless, Python, Node.js, AWS/GCP/Azure cloud
 </li>
 </ul>
 <li>
 Experience leading engineering teams and working with enterprise clients
 </li>
 <li>
 Excellent communication, documentation, and stakeholder management skills
 
 </li>
 </ul>
 
 
 Why Join?
 
 
 
 
 <ul>
 <li>
 Work on UAE Government AI initiatives
 </li>
 <li>
 Lead cutting-edge Agentic AI projects at enterprise scale
 </li>
 <li>
 Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
 </li>
 <li>
 Competitive compensation + long-term career roadmap
 
 
 </li>
 </ul>
 Skills: agents,generative ai,langchain,llm frameworks,llama2,ai application development,gemini,embedding models,prompt engineering,rag,vector databases,semantic kernel,crewai,openai,autogpt,agentic ai
</div>

AI/ML Architect - GenAI and AgenticAI

Acenet

Role OverviewAceNet is seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure.Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.This is a senior-level role requiring deep Azure expertise, strong governance orientation, and the ability to enable AI innovation within a controlled, secure enterprise framework.Key Responsibilities <ul><li>Design and maintain enterprise-grade Azure AI resources.</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.</li><li>Implement least-privilege RBAC models and ensure secure identity integration.</li><li>Enforce governance controls using Azure Policy and Management Groups.</li><li>Review AI solution architectures and participate in architecture review boards.</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.</li><li>Support CI/CD pipelines and controlled change and release management processes.</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.</li></ul>Required Skills &amp; Experience <ul><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.</li><li>Strong FinOps mindset and experience managing Azure cost optimization.</li><li>10+ years in IT infrastructure/cloud architecture.</li><li>5+ years of hands-on Azure architecture experience.</li><li>Experience operating within a centralized Cloud CoE model.</li></ul>Job Type: Full-time

Senior Azure AI Infrastructure Architect

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 The GenAI Solution Architect is a high-impact leadership role responsible for the design, orchestration, and scaling of ADCB's Artificial Intelligence ecosystem. You will serve as the master designer for intelligent customer and employee journeys, bridging the gap between ambitious product visions and robust, enterprise-grade technology. This role focuses on the structural integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines into the Bank's broader digital value streams. You are not just designing models; you are architecting secure, compliant, and highly scalable systems that redefine how the Bank operates in a digital-first world.
 
 
 As the GenAI Solution Architect, your responsibilities include:
 
 
 <ul>
 <li>
 Architecting end-to-end solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG) that align with the Bank's strategic roadmap
 </li>
 <li>
 Evaluating and selecting the optimal stack (e.g., Azure OpenAI, LangChain, Vector Databases) while promoting the reuse of APIs and microservices to minimize technical debt
 </li>
 <li>
 Guiding and coaching tech leads and engineering squads across AI architecture principles, ensuring high-quality technical builds in a scaled agile model
 </li>
 <li>
 Developing and maintaining comprehensive solution architecture documentation to support platform-level governance and regulatory compliance
 </li>
 <li>
 Acting as the primary technical voice to internal stakeholders, translating complex AI capabilities into clear business value propositions and product requirements
 </li>
 <li>
 Leading the rapid prototyping of emerging capabilities like multimodal AI and agentic systems, balancing speed-to-market with enterprise security
 </li>
 <li>
 Supporting, Coaching and Mentoring more junior members of the team, when required
 </li>
 <li>
 Additional responsibilities on occasion, on management request
 
 
 </li>
 </ul>
 
 As an AI consultancy, our greatest asset is the expertise of our people.
 
 
 
 
 While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
 
 
 
 We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
 
 
 
 You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
 
 
 
 
 If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
 
 
 
 
 Requirements
 
 
 
 
 To be successful in this role, we need you to have:
 
 
 
 <ul>
 <li>
 6+ years experience in technology architecture, with a minimum of 3 years dedicated specifically to AI/ML solution design
 </li>
 <li>
 A Bachelor's degree in Computer Science, AI, or Software Engineering. A Master's degree is highly preferred
 </li>
 <li>
 Be Azure or AWS Solution Architect certified
 </li>
 <li>
 Previous experience in banking or financial services
 </li>
 <li>
 Deep expertise in architecting RAG pipelines, embeddings, and vector databases (Pinecone, FAISS)
 </li>
 <li>
 Advanced knowledge of Azure and AWS ecosystems, specifically for AI/ML deployments and serverless architectures
 </li>
 <li>
 Proven ability to define backlog items (Epics/Features) and mentor engineering teams in a Scaled Agile framework
 </li>
 <li>
 Strong grasp of microservices, API design patterns, and enterprise data products
 </li>
 <li>
 A firm commitment to ethical AI principles, explainability, and governance within a highly regulated environment
 
 
 </li>
 </ul>
 It would be beneficial if you also had:
 
 
 <ul>
 <li>
 A proven ability to anticipate the evolution of agentic systems and assess their long-term applicability to banking
 </li>
 <li>
 Be skilled in articulating the ROI of AI solutions to non-technical senior leadership
 </li>
 <li>
 Experience in proactively identifying architectural risks, from data privacy leaks to model performance bottlenecks
 </li>
 <li>
 Experience in actively engaging with the global AI community to stay ahead of trends like PEFT (Parameter-Efficient Fine-Tuning) or RLHF
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Visa Sponsorship for the successful individual.
 </li>
 <li>
 Comprehensive health insurance for the successful individual.
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
 
 
 
 
 At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
 
 
 
 
 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
 
 
 
 
 If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
 
</div>

GenAI Solution Architect

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