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genai platform lead

Deeplight

<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 Platform Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank&rsquo;s AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
As the GenAI Platform Lead, your responsibilities will include:<ul><li>
Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions.</li><li>
Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions.</li><li>
Leading &quot;Infrastructure as Code&quot; (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency.</li><li>
Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy.</li><li>
Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing.</li><li>
Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools.</li><li>
Organizing and supervising team activities, ensuring targets are met in line with ADCB&rsquo;s policies and continuous improvement initiatives.</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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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 
What we need from you:<ul><li>
Minimum of 5 years in designing and deploying AI/ML solutions on Azure.</li><li>
Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field.</li><li>
Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred.</li><li>
Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance).</li><li>
Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints.</li><li>
Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps.</li><li>
Advanced expertise in Terraform for automating complex cloud architectures.</li><li>
Strong grasp of secure cloud networking and secret management (Azure Key Vault).</li><li>
Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark.</li></ul>
What we'd like from you:<ul><li>
Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios.</li><li>
Ability to optimize cloud spend while maintaining high availability and performance.</li><li>
Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview.</li><li>
Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads.</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 Platform Lead

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 Platform Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank's AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
 
 
 As the GenAI Platform Lead, your responsibilities will include:
 
 
 <ul>
 <li>
 Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions
 </li>
 <li>
 Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions
 </li>
 <li>
 Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency
 </li>
 <li>
 Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy
 </li>
 <li>
 Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing
 </li>
 <li>
 Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools
 </li>
 <li>
 Organizing and supervising team activities, ensuring targets are met in line with ADCB's policies and continuous improvement initiatives
 </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
 
 
 
 
 What we need from you:
 
 
 
 <ul>
 <li>
 Minimum of 5 years in designing and deploying AI/ML solutions on Azure
 </li>
 <li>
 Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field
 </li>
 <li>
 Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred
 </li>
 <li>
 Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance)
 </li>
 <li>
 Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints
 </li>
 <li>
 Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps
 </li>
 <li>
 Advanced expertise in Terraform for automating complex cloud architectures
 </li>
 <li>
 Strong grasp of secure cloud networking and secret management (Azure Key Vault)
 </li>
 <li>
 Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark
 
 
 </li>
 </ul>
 
 What we'd like from you:
 
 
 
 <ul>
 <li>
 Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios
 </li>
 <li>
 Ability to optimize cloud spend while maintaining high availability and performance
 </li>
 <li>
 Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview
 </li>
 <li>
 Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads
 
 
 </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>

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

Presight

<div>
 
 
 
 About The Role:
 
 
 
 
 Presight is seeking a Principal Solutions Architect &ndash; Financial Services to play a pivotal role in shaping, designing, and delivering large-scale AI-driven solutions for banks, insurers, capital markets firms, and regulators across the GCC and international markets.
 
 
 This is a senior, customer-facing role for an individual who combines deep Financial Services domain expertise with strong architectural leadership across data, AI, and cloud platforms. You will act as a trusted advisor to C-suite and senior technology leaders, helping institutions translate strategic business priorities into secure, scalable, and outcome-driven AI architectures.
 
 
 You will work closely with Presight&rsquo;s Financial Services leadership, product teams, and delivery partners to define industry-specific solutions, accelerate adoption, and shape Presight&rsquo;s go-to-market strategy across priority FSI clients.
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 FSI Client Advisory &amp; Solution Leadership
 
 
 <ul>
 <li>
 Serve as a lead architectural + technical authority for Financial Services engagements, advising clients on enterprise-grade AI, data, and cloud architectures aligned to regulatory and operational constraints.
 </li>
 <li>
 Engage directly with C-suite, CIOs, CTOs, CDOs, and Heads of Risk, Compliance, and Business Lines to shape AI-enabled transformation agendas.
 </li>
 <li>
 Translate complex FSI business challenges (e.g. risk, compliance, growth, customer intelligence, financial crime, operational efficiency) into end-to-end solution architectures.
 </li>
 </ul>
 
 
 
 
 
 Architecture &amp; Platform Design
 
 
 <ul>
 <li>
 Define secure, scalable, and sovereign-ready architectures spanning data platforms, AI/ML, GenAI, analytics, and cloud infrastructure
 </li>
 <li>
 Lead the design of industry-specific AI solutions across banking, insurance, payments, capital markets, and regulatory use cases
 </li>
 <li>
 Support solution design across hybrid, on-prem, and cloud environments, working closely with hyperscales and sovereign cloud platforms
 </li>
 </ul>
 
 
 
 
 
 Go-to-Market &amp; Industry Strategy
 
 
 <ul>
 <li>
 Act as a core member of the FSI go-to-market leadership team, supporting country and regional strategies
 </li>
 <li>
 Partner with sales and industry teams to shape propositions, solution narratives, and client-specific roadmaps
 </li>
 <li>
 Provide structured feedback to Presight&rsquo;s product and engineering teams to influence platform evolution based on real-world FSI requirements
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Enablement
 
 
 <ul>
 <li>
 Coach and mentor other architects, engineers, and delivery teams working on Financial Services engagements
 </li>
 <li>
 Lead executive workshops, whiteboarding sessions, and solution deep dives with both technical and non-technical stakeholders
 </li>
 <li>
 Represent Presight as a thought leader in client forums, industry events, and executive briefings
 </li>
 </ul>
 
 
 
 
 
 Delivery &amp; Execution Oversight
 
 
 <ul>
 <li>
 Support early-stage solution definition through implementation oversight, ensuring architectural integrity and alignment with client outcomes
 </li>
 <li>
 Collaborate with system integrators, technology partners, and internal delivery teams to ensure successful execution
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 10+ years of experience across enterprise architecture, cloud, data, data analytics, AI/ML, or large-scale technology platforms
 </li>
 <li>
 Significant hands-on experience working with Financial Services institutions (banking, insurance, capital markets, payments, or regulators)
 </li>
 <li>
 Proven ability to define, evangelise and execute end-to-end technology roadmaps supporting large-scale transformation initiatives
 </li>
 <li>
 Strong track record engaging and influencing senior executives and C-level stakeholders
 </li>
 <li>
 Excellent analytical, communication, and stakeholder-facing presentation skills
 </li>
 <li>
 Proven experience working in Agile environments and leading distributed engineering teams
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Technical Strengths
 
 
 
 <ul>
 <li>
 Deep understanding of:
 </li>
 <li>
 Distributed systems and large-scale data platforms
 </li>
 <li>
 Cloud and hybrid architectures
 </li>
 <li>
 AI / ML and emerging GenAI architectures
 </li>
 <li>
 Global security, governance, and regulatory considerations in FSI
 </li>
 <li>
 Comfortable operating across architecture, strategy, and execution rather than purely technical delivery
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Communication &amp; Leadership
 
 
 
 <ul>
 <li>
 Exceptional communication skills with the ability to bridge business and technology conversations
 </li>
 <li>
 Highly confident in executive presentations, whiteboarding, and facilitation
 </li>
 <li>
 Natural mentor and coach with experience guiding senior engineers and architects
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Enterprise, microservices, and event-driven architecture patterns
 </li>
 <li>
 End-to-end infrastructure and platform architecture (cloud, hybrid, containerized
 </li>
 <li>
 environments) Cloud platforms: Azure (mandatory), G42 Cloud, Huawei Cloud, AWS GCP
 </li>
 <li>
 Frontend &amp; Backend technologies: JavaScript, HTML, CSS, React, Node.js
 </li>
 <li>
 AI/ML architectures and Python-based development
 </li>
 <li>
 Databases and data platforms: Oracle, MySQL, MongoDB, Maria
 </li>
 <li>
 DBAPI &amp; integration technologies: REST, SOAP, event streaming
 </li>
 <li>
 Identity &amp; Access Management: IAM, SSO, OAuth, AD/LDAP
 </li>
 <li>
 Containerization &amp; orchestration: Docker, Kubernetes
 </li>
 <li>
 Observability, logging, and performance tuning (e.g. ELK stack)
 </li>
 <li>
 DevOps &amp; CI/CD pipelines and automation
 </li>
 </ul>
</div>

Principal Solution Architect

Quantum One

<div>
 
 About Us
 
 
 Quantum One is a leading AI solutions provider in the UAE. Our firm was founded by professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across multiple sectors, including energy, utilities, logistics, and industrial enterprises.
 
 
 We are looking for a highly skilled and motivated
 
 Senior Data Scientist (LLM &amp; Agentic Systems)
 
 to join our Abu Dhabi team. This role offers the opportunity to design and deploy production-grade GenAI and agentic systems for mission-critical projects with the UAE&rsquo;s largest organizations. Relocation assistance is available.
 
 
 Our Offer &amp; Your Growth
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and a clear career progression path with opportunities for rapid advancement into Lead, Principal, or AI Architect roles.
 
 
 You will work on high-impact enterprise AI systems, contribute to reusable internal frameworks, and help shape the next generation of agentic AI capabilities within the organization.
 
 
 Core Responsibilities
 
 
 As a Senior Data Scientist (LLM &amp; Agentic Systems), you will be instrumental in the execution and delivery of advanced AI systems across the following areas:
 
 
 
 Strategic Implementation:
 
 Design and implement Large Language Model&ndash;based solutions that solve complex business and operational challenges for major UAE organizations.
 
 
 
 Agentic System Development:
 
 Architect and build multi-step LLM agents integrating reasoning, planning, memory, and tool usage. Develop Retrieval-Augmented Generation (RAG) pipelines that combine unstructured and structured enterprise data.
 
 
 
 Enterprise Product Development:
 
 Design, develop, and deploy production-grade AI copilots and autonomous agents from concept through to scalable production environments.
 
 
 
 Technical Excellence:
 
 Ensure robustness, scalability, observability, and governance of deployed LLM systems, following enterprise-grade engineering standards.
 
 
 
 Collaboration &amp; Leadership:
 
 Work closely with Data Engineers, DevOps, and client stakeholders. Contribute to architectural decisions and mentor mid-level team members.
 
 
 Required Qualifications
 
 
 We are seeking a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 Experience:
 
 Minimum 5 years of professional experience in Data Science or Applied Machine Learning, with at least 2 years of hands-on experience building and deploying LLM-based systems.
 
 
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with international teams and enterprise clients.
 
 
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack:
 
 
 
 
 
 Python (advanced level)
 
 
 Git and CI/CD workflows
 
 
 Docker and Kubernetes
 
 
 Postgres or similar RDBMS / NoSQL databases
 
 
 Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
 
 
 Machine Learning &amp; LLM Expertise
 
 
 Co
 
 re Data Science Stack:
 
 
 
 
 
 
 Pandas, NumPy, scikit-learn
 
 
 Experience with gradient boosting frameworks (CatBoost, LightGBM)
 
 
 Model interpretation tools (e.g., SHAP)
 
 
 Data visualization (Matplotlib, Seaborn)
 
 
 
 Large Language Models &amp; Agentic Systems (Mandatory):
 
 
 
 
 
 
 Practical experience with Retrieval-Augmented Generation (RAG)
 
 
 Embedding pipelines and vector databases
 
 
 Agent orchestration frameworks (LangChain, LlamaIndex, or equivalent)
 
 
 Tool/function-calling architectures
 
 
 Structured output handling (JSON schemas, validation layers)
 
 
 Evaluation and monitoring of LLM systems
 
 
 Mod
 
 els &amp; Ecosystems:
 
 
 
 
 
 
 
 O
 
 penAI / Azure OpenAI
 
 
 Hugging Face ecosystem
 
 
 Open-source models such as Llama, Qwen, or Mistral
 
</div>

Senior Data Scientist (LLM)

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

<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.
 
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GenAI Solution Architect

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