AI Engineer

• Owning the design and implementation of the AI-driven customer care systems and autonomous multi-agent orchestration workflows.
• Designing, developing, and scaling state-of-the-art cyclic graph agent networks and multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.
• Optimizing LLM & Agent execution utilizing advanced runtime techniques such as quantization, pruning, batching, token streaming, and semantic caching to ensure ultra-low latency.
• Owning the solutions alignment of dependencies and service contracts with other teams.
• Designing, developing, and scaling real-time Retrieval-Augmented Generation (RAG) pipelines integrating state-of-the-art open-source LLMs (Llama 3, Mistral, Falcon, or similar).
• Implementing scalable, high-performance vector search (Qdrant, Weaviate, Milvus) for robust knowledge retrieval and semantic search.
• Having awareness of techniques such as quantization, pruning, distillation, batching, and caching for optimizing LLM inference with the minimum response times.
• Developing and exposing secure, performant APIs via FastAPI/gRPC or others, containerized (Docker), orchestrated (Kubernetes), and fully integrated into automated CI/CD pipelines.
• Embedding comprehensive monitoring and evaluation (e.g. MRR, Recall@k, NDCG, Faithfulness, latency metrics) and implementing automated regression testing for continuous improvement.
• Championing and enforcing best practices for data security, compliance (GDPR, Saudi PDPL is a plus), and responsible AI, including PII redaction and end-to-end encryption.
• Demonstrating mastery of foundational software engineering by writing clean code and architecture, maintainable and testable code, designing robust, modular, and scalable systems; leveraging version control, and implementing comprehensive continuous integration, automated testing, and deployment practices.
• Leading rigorous design and code reviews, mentoring engineers, and fostering an innovative engineering culture grounded in clean architecture, SOLID principles, and proactive best practices to ensure system reliability, security, and agility.

AI Engineering Lead

Manager

• Manage end-to-end bidding activities for opportunities in the **UAE and KSA**.
• Review and analyze RFPs, RFQs, tenders, EOIs, prequalification documents, and vendor registration requirements.
• Prepare compliant, high-quality technical and commercial proposals for IT, software development, digital transformation, outsourcing, staff augmentation, cloud, AI, cybersecurity, and enterprise technology projects.
• Coordinate with sales, presales, delivery, technical, finance, legal, and leadership teams to collect proposal inputs.
• Ensure all submissions comply with client instructions, local procurement requirements, formats, deadlines, and portal submission rules.
• Manage bid schedules, responsibility matrices, compliance checklists, clarification logs, and submission trackers.
• Support vendor registration and prequalification processes with UAE and KSA government, semi-government, and enterprise clients.
• Work closely with the sales team to understand client expectations, competitive positioning, pricing strategy, and win themes.
• Coordinate pricing inputs with finance and sales teams, including assumptions, scope exclusions, payment terms, and commercial conditions.
• Identify risks, gaps, contractual concerns, technical dependencies, and required clarifications.
• Prepare Arabic and English documentation where needed, including company profiles, cover letters, forms, declarations, and compliance responses.
• Maintain an updated bid library including case studies, credentials, CVs, company documents, templates, certificates, and reusable proposal content.
• Track bid status, submission outcomes, win/loss feedback, and lessons learned.
• Ensure Blackstone eIT’s value proposition is clearly positioned for UAE and KSA clients.

Bidding Manager

SDET

• Understanding the flow of code and how it interacts with different components
• Understanding project documents, customer demands, and product objectives to create and execute test cases
• Setting up, maintaining, and performing test automation frameworks on multiple application platforms, and building test scenarios and acceptance tests
• Creates & manages bug reports and communicate with the team
• Investigates customer problems referred by the technical support team
• Participates in a cross-functional team working in a highly dynamic agile environment
• Work closely with developers to improve the testability of our applications
• Build scripts and tools to integrate into our continuous integration pipeline
• Defines testing strategies to ensure the product being released is up to industry and company standards
• Able to mentor, guide, and enhance SDETs technical capabilities in the selection of the test frameworks, tools, and processes
• Creates testing plans, including individual testing phases, and ensures the team meets the deadlines set forth in those plans
• Identifies risk and creates plans to mitigate it

Senior Software Development Engineer in Test

Account Manager

• Identify opportunities for account expansion and upselling of additional services, driving incremental revenue generation.
• Participate in lead generation and new business activities, supporting the acquisition of new clients and opportunities.
• Manage and grow a portfolio of key client accounts (medium to big size/complexity), ensuring client satisfaction, retention, and revenue growth.
• Coordinate the execution of medium to complex research projects, ensuring timely delivery of results.
• Provide full guidance for sampling strategy development and monitor fieldwork performance.
• Maintain excellent day-to-day communication with clients, advising on potential roadblocks and corrective actions to ensure the best service and client satisfaction throughout the project lifecycle.
• Monitor project financials and performance metrics, ensuring projects are delivered on time, within budget, and to client expectations.
• Supporting clients from EMEA region

Account Manager, Market Research – EMEA

Business Development Rep

• Make high-volume outbound calls using our power dialer system
• Engage with potential clients and introduce our services
• Qualify leads and identify strong opportunities
• Book appointments or transfer qualified prospects to senior sales representatives
• Maintain accurate records in the CRM
• Represent Puulse Marketing with professionalism and energy

Business Development Representative

Backend Engineer

• Implement backend features, bug fixes, and system improvements using PHP and related backend technologies.
• Contribute to Go services when assigned, with guidance and support from senior engineers.
• Develop backend functionality following established engineering standards and team practices.
• Support scalable, reliable, and maintainable application development.
• Participate in implementation efforts across APIs, integrations, and backend services.
• Write and maintain SQL queries, migrations, and data-access code.
• Work with MySQL and MariaDB databases to support application functionality.
• Ensure data integrity, correctness, and performance across backend systems.
• Assist with database-related troubleshooting and optimization efforts.
• Create and maintain automated unit and integration tests.
• Resolve failing tests and support code quality initiatives.
• Participate in code review processes and incorporate feedback effectively.
• Document APIs, implementation details, runbooks, and technical processes.
• Communicate development progress, blockers, and technical updates effectively.
• Collaborate with senior engineers on implementation approaches and technical solutions.
• Assist with production troubleshooting and issue resolution under senior guidance.
• Participate in CI/CD and deployment activities.
• Support monitoring, maintenance, and operational reliability efforts.
• Help maintain platform stability and performance.

Junior Backend Engineer

Platform Engineer

• Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment.
• Support frequent, reliable, and secure application releases.
• Provision and manage cloud, on-premises, or hybrid infrastructure.
• Implement Infrastructure as Code (IaC) using tools such as Terraform, ARM, or CloudFormation.
• Ensure scalability, availability, and cost optimization of environments.
• Automate system provisioning, configuration, and operational tasks.
• Maintain configuration management tools (Ansible, Chef, Puppet, etc.).
• Design, deploy, upgrade, patch, and maintain container orchestration platforms (Kubernetes, OpenShift or other orchestration platform operations).
• Manage cluster lifecycle, node scaling, and infrastructure optimization, configure and support OpenShift data foundation (ODF).
• Configure monitoring and logging and provide support and response for any incident.
• Deploy, configure, and manage IBM Cloud Pak for Business Automation (CP4BA) components (containers & traditional) including Business Automation Workflow, Business Automation Studio, FileNet Content Platform Engine, Operational Decision Manager, and Automation Document Processing.
• Deploy, configure, and manage IBM Cloud Pak for Integration (CP4I) components (CP4I) components (containers & traditional).
• Deploy, configure, and manage Confluent.
• Deploy, configure, and manage Elasticsearch.
• Perform day-to-day administration, monitoring, tuning, and patching of all Cloud Pak deployments.
• Implement monitoring, logging, and alerting for all Cloud Pak services using Prometheus, Grafana, ELK stack, and IBM Cloud Pak System Health.
• Reduce manual intervention and operational overhead.
• Build, manage, and optimize containerized applications.
• Ensure secure and efficient container runtime environments.
• Troubleshoot issues using logs, metrics, and traces.
• Manage secrets, access control, and secure configurations.
• Support vulnerability scanning, patching, and compliance requirements.
• Work closely with development, QA, and operations teams.
• Promote DevOps culture, best practices, and continuous improvement.
• Maintain technical documentation, runbooks, and deployment guides.
• Support audits and operational reviews.

Senior Staff Platform Engineer

Security Engineer

• Design and formalize the cybersecurity department structure. Define the scope, objectives, and KPIs for all sub-departments (SOC/SecOps, Governance Risk & Compliance (GRC), Application Security, and Infrastructure Security).
• Recruit, mentor, and lead a high-performing team of security engineers, analysts, and GRC specialists.
• Actively deploy, configure, and manage a suite of cybersecurity tools. Oversee the integration of automated security testing (SAST, DAST, SCA, secret scanning) directly into CI/CD pipelines (e.g., GitLab).
• Lead hands-on implementation of tools such as SonarQube, Trivy, Gitleaks, and OWASP ZAP to ensure code and infrastructure are secure by design.
• Ensure the organization’s security architecture and policies comply with strict regional financial and cybersecurity frameworks (including NCA, SAMA, CMA, and IA regulations).
• Serve as the ultimate escalation point for severe security incidents. Design secure multi-cloud architectures and ensure robust continuous monitoring.

Senior Cybersecurity Consultant

• Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment:
• Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines.
• Define standards for data modeling, storage, ingestion, and transformation across client engagements.
• Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring).
• Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.
• Define best practices and reusable frameworks for data engineers, analysts, and data scientists.
• Act as a technical mentor and reviewer for cross-functional project teams.
• Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects.
• Contribute to internal knowledge base, toolkits, and delivery accelerators.
• Lead architecture workshops and discovery sessions with client stakeholders.
• Translate business requirements into scalable, robust technical blueprints.
• Present architecture decisions to both technical teams and executive audiences.
• Support pre-sales and proposal efforts with technical scoping and solution design.
• Provide internal training and knowledge-sharing sessions with the team.
• Support the Head of Practice on business development and internal capability initiatives.

Analytics & AI Architect

Data Analyst

• Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas:
• **DATA GOVERNANCE & POLICY**
• Define and implement data governance frameworks, policies, and standards tailored to client environments.
• Establish data ownership, stewardship models, and accountability structures across business and technical teams.
• Develop and maintain data dictionaries, business glossaries, and classification taxonomies.
• Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.).
• **DATA QUALITY & LINEAGE**
• Design and implement data quality rules, profiling routines, and monitoring dashboards.
• Investigate and remediate data quality issues across structured and unstructured data sources.
• Map and document end-to-end data lineage to support auditability and impact analysis.
• Define and track data quality KPIs and SLAs in collaboration with data owners.
• **METADATA & CATALOGUING**
• Deploy and administer data catalog and metadata management tools (e.g. Informatica, Collibra, Alation, Microsoft Purview).
• Enrich metadata assets with business context, ownership, sensitivity classification, and usage information.
• Drive adoption of the data catalog across business and technical teams.
• **TOOLING & INTEGRATION**
• Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools.
• Integrate governance tooling with existing data pipelines, warehouses, and BI environments.
• Automate data quality checks and governance workflows within ETL/ELT pipelines.
• **OTHER**
• Provide internal training and knowledge-sharing sessions on data governance best practices.
• Support the Team Lead/Manager on client relationships, business development, and internal projects.

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