ai solutions architect

Boundless

<div>
 
 
 Company Overview
 
 
 
 Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 
 
 Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI Engineering Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
 </li>
 <li>
 Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
 </li>
 <li>
 Conduct AI solution design and technical architecture reviews before development begins.
 </li>
 <li>
 Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
 </li>
 <li>
 Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
 </li>
 </ul>
 
 
 AI-Assisted Software Engineering
 
 
 <ul>
 <li>
 Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
 </li>
 <li>
 Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
 </li>
 <li>
 Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
 </li>
 <li>
 Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
 </li>
 <li>
 Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
 </li>
 </ul>
 
 
 LLM Engineering &amp; Agentic Systems
 
 
 <ul>
 <li>
 Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
 </li>
 <li>
 Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
 </li>
 <li>
 Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
 </li>
 <li>
 Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
 </li>
 <li>
 Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
 </li>
 </ul>
 
 
 AI Platform, Architecture &amp; Governance
 
 
 <ul>
 <li>
 Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
 </li>
 <li>
 Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
 </li>
 <li>
 Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
 </li>
 <li>
 Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
 </li>
 <li>
 Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
 </li>
 </ul>
 
 
 Capability Development &amp; Adoption
 
 
 <ul>
 <li>
 Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
 </li>
 <li>
 Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
 </li>
 <li>
 Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
 </li>
 <li>
 Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
 </li>
 <li>
 Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
 </li>
 <li>
 At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
 </li>
 <li>
 At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
 </li>
 <li>
 Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
 </li>
 <li>
 Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
 </li>
 <li>
 Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
 </li>
 <li>
 Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
 </li>
 <li>
 Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
 </li>
 <li>
 Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
 </li>
 <li>
 Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
 </li>
 <li>
 Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
 </li>
 <li>
 Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Building or leading AI Engineering Centres of Excellence.
 </li>
 <li>
 Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
 </li>
 <li>
 Driving AI transformation programmes across software engineering organisations.
 </li>
 <li>
 Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
 </li>
 <li>
 Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
 </li>
 <li>
 Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
 </li>
 <li>
 Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
 </li>
 <li>
 Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
 </li>
 </ul>
 
 
 
 
 
 Key Technology Areas
 
 
 <ul>
 <li>
 Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
 </li>
 <li>
 AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
 </li>
 <li>
 Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
 </li>
 <li>
 Automation: n8n, Make, Zapier, Apache Airflow
 </li>
 <li>
 Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
 </li>
 <li>
 Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
 </li>
 <li>
 Cloud Platforms: AWS, Azure, Google Cloud Platform
 </li>
 <li>
 AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
 </li>
 </ul>
</div>

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

DICETEK LLC

<div>ROLE OVERVIEW
We are seeking a highly experienced Solution Architect with 15+ years of extensive experience in IT architecture and solution design within the banking and financial services domain. The ideal candidate will bring deep expertise in architecting Open Finance ecosystems and driving AI-powered automation strategies to transform financial institutions globally. This role demands a strong blend of functional knowledge (50%) and technical expertise (50%), with the ability to bridge complex business requirements with robust, scalable, and secure technical solution designs.
The Solution Architect will be responsible for leading architecture and design for Retail banking, mobile banking, onboarding solutions , customer lifecyle management and AI/ML driven solutions. The role requires hands-on experience with cloud platforms (Azure, AWS), microservices, API-led integration, and modern technologies including Kubernetes, Kong, MQ, and Kafka. The candidate should also bring experience in AI/ML frameworks, RPA, and business process automation to drive intelligent transformation initiatives across the enterprise.
KEY RESPONSIBILITIES<ul><li>
Lead end-to-end solution architecture and design</li><li>
Design and implement scalable, secure, and high-performance digital ecosystems using microservices, API-led integration, and event-driven architecture patterns</li><li>
Architect cloud-native solutions on Azure and AWS, leveraging Kubernetes, Docker, Kong API Gateway, IBM MQ, and Apache Kafka</li><li>
Define and govern integration and interfacing patterns across core banking systems, payment engines, reconciliation platforms, and surrounding systems</li><li>
Design STP and Non-STP payment processing flows, rules engine configurations, and bulk/automated payment and reconciliation frameworks</li><li>
Drive AI/ML-powered automation initiatives using frameworks such as Ollama and LangChain, including NLP model enhancement for IVR automation</li><li>
Implement robotic process automation (RPA) solutions using Automation Anywhere and Blue Prism to streamline operational processes</li><li>
Design and optimize business process automation workflows using IBM BPM and Pega, supporting business process re-engineering initiatives</li><li>
Develop high-performance front-end solutions using React and Angular for digital banking channels, ensuring exceptional user experience</li><li>
Define and enforce non-functional architecture requirements including scalability, high availability, resilience, performance, and security</li><li>
Conduct integration and solution design workshops with cross-functional stakeholders, ensuring alignment between business requirements and technical solutions</li><li>
Develop business process models using UML, wireframes, and mock-ups to translate complex requirements into actionable solution blueprints</li><li>
Ensure requirement traceability and governance through structured documentation using Word, Excel, Visio, and tools such as JIRA, Confluence, and Azure DevOps</li><li>
Embed DevOps practices and Agile delivery methodologies to accelerate delivery while maintaining architectural integrity</li><li>
Align digital application strategies with enterprise architecture standards, ensuring regulatory compliance and sustainable technology modernization</li><li>
Support full project lifecycle activities from requirements analysis, solution design, build/configuration, testing, UAT, to production rollout</li><li>
Collaborate with business stakeholders, technology teams, and delivery partners to ensure solution alignment and organizational buy-in</li></ul>
MANDATORY SKILLS &amp; EXPERIENCE<ul><li>
10+ years of extensive experience in IT Architecture and Solution Design within the banking/financial services domain</li><li>
Detailed knowledge of Retail banking onboarding processes across different products</li><li>
Hands-on experience with Azure Cloud, AWS, Microservices Architecture, and API-led Integration</li><li>
Proficiency in Kubernetes, Kong API Gateway, IBM MQ, and Apache Kafka</li><li>
Strong experience in integration and interfacing with core banking and surround systems</li><li>
Deep understanding of non-functional requirements including scalability, security, resilience, and high availability</li><li>
Experience in payables and receivables management</li><li>
Proven track record of conducting integration and solution design workshops</li><li>
Experience STP and Non-STP processes, and AI Driven rules engine setup</li><li>
50% Functional and 50% Technical capability &mdash; must bridge business requirements with technical solution design</li><li>
Must have application knowledge in Retail Detail channels</li><li>
Strong analytical and problem-solving skills with excellent documentation capabilities</li><li>
Fair understanding of various stages of the project lifecycle including requirements analysis, design, build/configuration, testing, and rollout</li></ul>
PREFERRED / GOOD-TO-HAVE SKILLS<ul><li>
Experience in AI/ML frameworks such as Ollama and LangChain</li><li>
Hands-on experience with RPA platforms &mdash; Automation Anywhere and Blue Prism</li><li>
Experience with business process automation tools &mdash; IBM BPM and Pega</li><li>
Proficiency in front-end technologies &mdash; React and Angular</li><li>
Back-end development experience with Spring Boot and Node.js</li><li>
NLP model development and IVR automation experience</li><li>
Understanding of any Core Banking systems (e.g., T24, Finacle)</li><li>
Business Process Management / Re-Engineering experience</li><li>
Exposure to requirement management tools (JIRA, Confluence, Azure DevOps)</li><li>
Experience in Open Finance ecosystem architecture</li><li>
Knowledge of business process modelling tools (UML), mock-ups, and wireframes</li></ul></div>

Senior Solution Architect — Banking & Digital Transformation

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for custom LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Full Stack Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
 </li>
 <li>
 Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
 </li>
 <li>
 Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
 </li>
 <li>
 Contribute to core platform features designed to be reused across diverse international client use cases.
 </li>
 <li>
 Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related quantitative field
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
 </li>
 <li>
 Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
 </li>
 <li>
 Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
 </li>
 <li>
 A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
 </li>
 <li>
 Driven async communication methodologies to reduce communication frictions
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <ul>
 <li>
 Proficient in Arabic
 </li>
 <li>
 Past experience working in a forward deployed engineer / dedicated customer engineer role
 </li>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Senior Full-Stack Software Engineer, (Forward Deployed), GPS

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

GlobalDrum

<div>
 
 
 Role: Backend Engineer (AI-First)
 
 
 
 
 
 
 
 
 Location:
 
 Dubai / Hybri
 
 
 
 dDepartment:
 
 Technology &amp; Operation
 
 
 
 sReports To
 
 : CI
 
 
 
 OPosition:
 
 Full-Tim
 
 
 
 
 
 
 e
 
 About u
 
 
 
 s:GlobalDrum is empowering the media sector to own, understand, and monetise their most valuable social audiences, using live audience behavioral data for brands to operate diversified business models on demand for themselve
 
 
 
 
 
 s.
 
 We are evolving our unique next-generation B2B2C Platform as a Service (PaaS) that operates on a globally distributed cloud infrastructure incorporating a scalable, event-driven architecture using the latest AI and data techniques to evolve an entire sect
 
 
 
 
 
 or.
 
 Located in London, Dubai, New York and Dubai, the Company is at the centre of reshaping how global brands will evolve in a sector valued at $276Bn in 2025 representing 30% of all digital ad spend
 
 
 ing.If this seems too ambitious for you, then don't ap
 
 
 
 
 
 
 ply.
 
 Job Descrip
 
 
 
 tion:Are you an AI pioneer who still loves to get your hands dirty in the code
 
 
 
 
 
 base?
 
 We are looking for a visio
 
 nary, hands-on AI/Backend Eng
 
 ineer to be a core builder of our multi-tenant platform. Working within a fast-paced development team in Dubai, you will architect and deploy the complex backend systems that drive monetisation such as content ingestion, ad-serving, and subscriptions. You will heavily leverage AI development tools to write, test, and ship AWS or cloud-agnostic code at unprecedented s
 
 
 
 
 
 peeds.
 
 If you thrive in a fast-paced environment and have a proven track record of building massive, data-intensive global systems, we want you as part of our engineerin
 
 
 
 
 
 
 g team.
 
 Key Responsib
 
 
 <ul>
 <li>
 ilities:Develop, test, and maintain backend services and public APIs for our multi-tenant SaaS p
 </li>
 <li>
 latform.Integrate third-party systems, including ad networks, subscription billing, and MCP so
 </li>
 <li>
 lutions.Write clean, efficient code while maximizing output through the use of agentic A
 </li>
 <li>
 I tools.Actively participate in daily stand-ups, sprint planning, and other Scrum cer
 </li>
 </ul>
 
 
 
 
 
 emonies.
 
 Required Skills and Qualif
 
 
 <ul>
 <li>
 ications:Proven experience in large-scale AI-assisted development and utilizing agentic w
 </li>
 <li>
 orkflows.Solid understanding of Solution Architecture, AWS, and cloud-agnostic infras
 </li>
 <li>
 tructure.Demonstrable experience working in fast-moving startup envi
 </li>
 <li>
 ronments.Practical experience operating within a strict Scrum/Agile f
 </li>
 </ul>
 
 
 
 
 
 ramework.
 
 Preferred Experience/Quali
 
 
 <ul>
 <li>
 fications:Hands-on experience with SaaS/PaaS platforms and multi-tenant arch
 </li>
 <li>
 itectures.Familiarity with MarTech, AdTech, payment systems, and MCP
 </li>
 </ul>
 
 
 
 
 
 solutions.
 
 Bonus Points If
 
 
 
 You Have...While not strictly required, exposure to the following will make you a standout
 
 <ul>
 <li>
 candidate:Deep understand
 
 ing of the Media
 
 and/or News technology
 </li>
 <li>
 ecosystems.Exp
 
 erienc
 
 e in AdTech (advertising networks, programmatic bidding, a
 </li>
 <li>
 d
 
 serving).A Startup/Scale-up
 
 background, bringing a strategic, client-centric, and solution-oriented mindset to technical probl
 </li>
 </ul>
 
 
 
 
 
 em-solving.
 
 
 
 <ul>
 <li>
 Why Join Us?The chance to build a ground-breaking AI platform
 </li>
 <li>
 from day oneCompetitive equity options packag
 </li>
 <li>
 e and salaryFlexible working
 </li>
 </ul>
 
 
 
 environment
</div>

Backend Engineer (AI-First)

Cisco

Meet the Team
 
Cisco's vision is to change the way the world works, lives, plays, and learns! We made the Internet what it is today. In the Agentic AI era, our vision is even more relevant today than ever.
 You will be a Solution Sales Engineer specializing in Identity Security and IAM within the EMEA region, serving as a primary technical authority and strategic advisor for customers in the Middle East, influencing high-value security investments. You will lead the full technical sales cycle – from discovery and solution design to proof-of-value and deal closure – by leveraging deep expertise in identity and AI to secure enterprise applications and infrastructure. By fostering a culture of high performance and innovation, you will drive significant revenue growth while positioning Cisco as a market leader in security. Furthermore, you will stay at the forefront of evolving AI trends, integrating cross-product solutions through a"One Cisc" approach to address complex customer challenges effectively. You will join a supportive team that prioritizes customer success and community impact, offering an environment where you can have fun, feel inspired, and contribute to meaningful change.
 
Your Impact
 
As a Sales Solutions Engineer at Cisco, you will be a technical authority who directly influences high-value investments by serving as a trusted advisor to CISOs, senior executives, and other decision makers. You will own the technical win strategy, driving revenue growth through superior solution design, competitive positioning, and the execution of high-impact trials. By leading complex sales cycles and securing technical wins, you will be instrumental in expanding Cisco’s security footprint within key accounts across the Middle East.
 Your expertise in Zero Trust architecture and the foundational elements of IAM, MFA, and PAM will be critical to securing both human and non-human identities within customers’ environments. You will lead discovery sessions to architect comprehensive solutions that address specific customer threats and compliance requirements. Through compelling demonstrations and workshops, you will differentiate Cisco’s portfolio, ensuring that every engagement delivers measurable security improvements and clear return on investment.
 Beyond individual deals, you will establish yourself as a thought leader by translating emerging security trends into actionable customer value. By fostering a"One Cisc" approach, you will collaborate across functions to integrate identity security solutions with broader networking portfolios, while cultivating customer advocates to influence product roadmaps. Your commitment to technical excellence and community engagement will ultimately solidify Cisco’s reputation as the premier partner for enterprise identity security.
 
Minimum Qualifications
 
<ul>
<li>5+ years of experience in a technical sales, solutions engineering, or similar role, managing technical and business relationships with complex global organizations.</li>
<li>Working knowledge of the Identity and IAM ecosystem.</li>
<li>Ability to closely collaborate with sales and customer-facing teams to drive business results.</li>
<li>Extensive experience working with customers across the Middle East region of EMEA.</li>
<li>Exceptional presentation skills with ability to articulate complex technical concepts to diverse audiences from practitioners to executives.</li>
<li>Strong business acumen connecting technical solutions to business outcomes and ROI.</li>
<li>Consultative selling approach with proven ability to build trusted advisor relationships.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Degree in engineering, computer science, or a related field.</li>
<li>Familiarity with how security, networking, and identity engineers design, implement, integrate, manage, and support these platforms.</li>
<li>Extensive experience across multiple customer segments (Enterprise, Commercial, Public Sector, and Partners) with a solid knowledge of Cisco Secure Networking solutions including Duo, Multicloud Defense, Secure Access, SD-WAN/SASE, and AI Security/Agentic AI.</li>
<li>Experience with different Identity and directory vendors and their products (Cisco Duo, Microsoft Entra, Okta, Ping, CyberArk, SailPoint etc.), either through managing these platforms in a production environment, or through selling and integrating them into customer environments.</li>
<li>Exceptional communication, storytelling, and presentation skills, coupled with the ability to effectively influence and engage large audiences, senior leaders, customers, and partners.</li>
<li>Cisco CCIE/CCNP, ISC2, or other industry-standard certification in Security or Networking.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Solutions Engineer

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

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