sales engineer

sales executive

business analyst

planning engineer

project engineer

solutions architect

COVERGO

<div>Top 3 Reasons To Join Us<ul><li>
International Environment</li><li>
100% Remote</li><li>
Working on the latest tech for the Insurtech Market Leader</li></ul>
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.<ul><li>
We are a leading global no-code insurance platform for health, life, and P&amp;C</li><li>
We&rsquo;re the winner of the Insurtech of the Year in all of Asia and other awards globally</li><li>
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more</li><li>
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world</li><li>
We are fully funded and backed by reputable VC funds and strategic institutional investors</li><li>
We have a global presence in Asia, EMEA and the Americas</li><li>
We&rsquo;ve grown our annualized revenue by over 30x since January 2021</li><li>
We&rsquo;re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world</li></ul>
About the Role
A cloud technology-focused individual providing design and delivery expertise for forward-looking solutions in a modern cloud-based insurance environment. The successful candidate will work directly with clients, assessing their needs, designing tailored solutions, and supporting business initiatives in alignment with defined roadmaps. This role is technology agnostic but emphasizes solutions leveraging heavily on AWS and/or GCP environments, incorporating elements of open-source, PaaS, and SaaS components.
What You Will Do<ul><li>
Engage with clients to understand their requirements and advise on appropriate solution architectures</li><li>
Collaborate with Product Managers to ensure alignment between client needs and solution design</li><li>
Work closely with Delivery Managers to oversee the architecture approach during solution deployment</li><li>
Explore a range of possibilities and creative alternatives to identify the most effective solutions</li><li>
Ensure that designed solutions are implemented in accordance with client expectations and company standards</li><li>
Assist in identifying, specifying, and selecting off-the-shelf components to meet client needs</li><li>
Provide ongoing support and guidance to clients throughout the implementation process</li><li>
Maintain awareness of industry trends and emerging technologies to continuously improve solutions</li></ul>
Required Skills and Knowledge<ul><li>
At least 6 years of professional experience in solution architecture design and delivery roles in the insurance vertical with exposure to multiple lines of business</li><li>
Experienced in delivering cloud-based technology product solutions in an enterprise environment</li><li>
Ability to assist in defining and socialising a product/enterprise roadmap</li><li>
Ability to translate client requirements into actionable steps and solution architectures</li><li>
Understand business architecture models &amp; patterns</li><li>
Has designed and implemented innovative and creative solutions to business problems</li><li>
Can think &quot;outside the box&quot;, but also be able to understand the business constraints that lead to &ldquo;in the box&rdquo; approaches</li><li>
Understand the optimum approaches for cloud-based applications with high availability and highly scalable solutions</li><li>
Experienced in designing solutions in a Relational DB and noSQL environment</li><li>
Experienced in designing for API &amp; Micro-services centric environments</li><li>
Demonstrated capability to self-learn new technology trends and approaches</li><li>
Ideally has experience or understanding of the benefits of low-code platforms</li><li>
While the Solution Architect is not expected to build the solutions experience of multiple development languages &amp; various DB engines will be advantageous</li><li>
Exposure to authentication and authorisation concepts (SSO, SAML integration, identity federation etc)</li><li>
Excellent communication skills, both written and verbal</li></ul>
Required Competencies<ul><li>
Must be equally comfortable discussing the solution strategies and enterprise roadmap with people at all levels of our organisation and CxO to project-level teams in our clients</li><li>
Strong analytical skills &amp; ability to understand and collect business requirements from corporate clients.</li><li>
Strong ability to build the value proposition and solution documents, and in some cases, the business case for a corporate client.</li><li>
Relationship management experience with corporate clients.</li><li>
Excellent organisational, interpersonal &amp; communication skills and an ability to engage audiences</li><li>
Excellent decision-making and judgment skills</li><li>
Understanding of insurance business processes across all areas and at least two lines of business</li><li>
Maintains direction and focus through proactive planning and organized approaches to work</li><li>
Certification in one architecture discipline (TOGAF, Zachman, etc.) is a distinct advantage</li><li>
Certification in one cloud environment is a distinct advantage with a broad knowledge and experience of the cloud platform&rsquo;s capabilities</li><li>
A high proficiency in working in English as your primary language</li></ul>
Why You'll Love Working Here<ul><li>
Fully Remote Work</li><li>
Paid Annual Leaves</li><li>
Annual Performance Bonus</li><li>
Stock Options after 6 months</li><li>
Health Insurance</li><li>
Anniversary Bonus</li><li>
Remote Work Allowance</li><li>
Company activities and events</li><li>
Learning and development plan</li></ul>
CoverGo Company Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo&rsquo;s Privacy Notice and you consent to the processing of your data as part of this application.</div>

Solutions Architect (Insurance) - Fully Remote

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

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

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 Solution Architect is a high-impact leadership role responsible for the design, orchestration, and scaling of ADCB&rsquo;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 &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 
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&rsquo;s degree in Computer Science, AI, or Software Engineering. A Master&rsquo;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

Inception

<div>
 
 Overview
 
 
 
 As the Infrastructure Architect at Inception, you will play a pivotal role in architecting, developing, and optimizing infrastructure for Inception&rsquo;s advanced AI platforms. With a robust background in cloud and on-premises infrastructure design, you&rsquo;ll focus on ensuring the scalability, security, and high performance of our AI systems. Collaborating closely with engineering and operations teams, you&rsquo;ll work to enhance the infrastructure that supports AI workloads, with an emphasis on cloud optimization, networking, and storage.
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architect Infrastructure Solutions: Design and develop scalable, secure, and highly available infrastructure that supports Inception&rsquo;s AI platforms and applications.
 </li>
 <li>
 Cloud &amp; On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
 </li>
 <li>
 Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
 </li>
 <li>
 High Availability &amp; Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
 </li>
 <li>
 Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
 </li>
 <li>
 Automation &amp; Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
 </li>
 <li>
 Cloud Efficiency &amp; Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
 </li>
 <li>
 Technology Evaluation &amp; Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
 </li>
 <li>
 Compliance &amp; Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
 </li>
 <li>
 Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
 </li>
 <li>
 Industry Trends &amp; Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 
 
 </li>
 </ul>
 
 To qualify for the role you must have
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 </li>
 </ul>
</div>

Infrastructure 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 Cloud Ops Engineering 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 Cloud Ops Engineering 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>

Cloud Ops Engineering 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.
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GenAI Platform Lead

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