architecture engineer – lead -section 5

architect team lead

architecture engineer – lead -section 5 Jobs in Cairo

civil design coordinator

civil engineer -lead -section 2 Jobs in Cairo

civil engineer -lead -section 2

civil engineer – junior -section 2 Jobs in Cairo

civil engineer – junior -section 2

civil engineer lead section 2

SYSTRA

<div>
 SYSTRA is one of the world's leading engineering and consultancy groups specialising in public transport and sustainable mobility. With over 10,300 employees, SYSTRA's mission is to design safe and sustainable transport solutions to bring people together, develop social inclusion and facilitate access to employment, education and leisure throughout the world.
 
 
 For 65 years, the Group has been working alongside cities and regions to contribute to their development by creating, improving and modernising their infrastructure and transport systems, throughout the life cycle of their projects. SYSTRA is involved from the earliest stages of design through to the testing, deployment and maintenance phases. The company provides all its services in over 80 countries worldwide and generates 74% of its turnover internationally. With its new services, SYSTRA supports its clients and partners in their digital, ecological and energy transition, in order to invent the mobility of tomorrow.
 
 
 Context
 
 
 Lead Civil Section 2(From Bani Mazar Station to Manflout Station)
 
 
 Missions/Main Duties
 
 
 Manage the staffing process
 
 
 <ul>
 <li>
 The Lead Engineers will receive direction from the Senior Engineers on the supervision works required and will sign off appropriate inspection forms as submitted by the Contractor QC Engineers to endorse that works have been completed satisfactorily or provide comments where works require improvement or remedial works to comply with the contract.
 </li>
 <li>
 Review shop drawing.
 
 
 </li>
 </ul>
 Profile/Skills
 
 
 <ul>
 <li>
 Supervision of site works according to the approved drawings, work procedures, method statements and specifications.
 </li>
 <li>
 Attend the site inspections and sign off the inspection checklists.
 </li>
 <li>
 Excavation, check bentonite slurry density during excavation and prior to cage installation.
 </li>
 <li>
 Promotes work personnel's awareness of compliance with Quality Environment and Safety requirements.
 </li>
 <li>
 Check verticality and depth of excavation.
 </li>
 <li>
 Check cage installation (welding rebar &amp; placing of spacers).
 </li>
 <li>
 Concrete, random inspection of concrete truck delivery, slump test cube preparation for slabs, walls, Pile caps and Piers.
 
 
 </li>
 </ul>
 Systra is an equal opportunities company; this position is open to all applicants.
</div>

Civil Engineer -Lead -Section 2

Innovo Group

<div>
 Role Purpose
 
 The
 
 Estimation Engineer
 
 will be responsible for developing detailed and accurate cost estimates for Civil or MEP works. The role supports the tendering team by delivering technically sound and cost-effective proposals that align with project requirements and company strategy. It requires strong technical understanding of Civil or MEP activities and the ability to analyse and validate quantities, pricing, and market conditions.
 
 Key Accountabilities
 <ul>
 <li>
 Review tender documents including drawings, specifications, and scope of work.
 </li>
 <li>
 Prepare BOQs and detailed estimates for Civil or MEP&nbsp;works.
 </li>
 <li>
 Request and analyze quotations from civil suppliers and subcontractors.
 </li>
 <li>
 Review tender documents including drawings, specifications, and scope of work.
 </li>
 <li>
 Prepare BOQs and detailed estimates for Civil or MEP&nbsp;works.
 </li>
 <li>
 Request and analyze quotations from Civil or MEP&nbsp;suppliers and subcontractors.
 </li>
 <li>
 Collaborate with architectural and structural or MEP&nbsp;teams for quantity surveying.
 </li>
 <li>
 Contribute to the preparation of technical and financial proposals.
 </li>
 <li>
 Attend clarification sessions and provide technical input as needed.
 </li>
 <li>
 Participate in value engineering and cost benchmarking efforts.
 </li>
 <li>
 Keep estimation records and pricing databases up to date.
 </li>
 </ul>
 Qualifications, Experience, Knowledge &amp; Skills
 <ul>
 <li>
 Bachelor&rsquo;s degree in civil , Electrical or Mechanical engineering.
 </li>
 <li>
 Minimum of 1 year&nbsp;of experience in Civil or MEP estimation.
 </li>
 <li>
 Proficient in Microsoft Excel, AutoCAD.
 </li>
 <li>
 Strong understanding of Civil or MEP construction practices and material pricing.
 </li>
 <li>
 Analytical mindset with attention to detail and teamwork skills.
 </li>
 </ul>
</div>

Estimation Engineer

Siemens

<div>
 Siemens Mobility (SMO) is the world&rsquo;s leading provider of mobility solutions that enable the efficient, safe, and environmentally friendly transport of people and goods&mdash;helping to improve the quality of everyday life for millions worldwide.
 
 
 Motivated by innovation, we develop intelligent solutions for the growing digitalization of the transport sector. Our offerings include rail vehicles, rail automation, road traffic management systems, rail electrification, and services.
 
 
 In Egypt, Siemens Mobility is delivering one of the country&rsquo;s first
 
 high-speed rail
 
 system. This landmark project, spanning approximately 2,000 kilometers, will connect 60 cities across Egypt, transforming transportation for both passengers and goods. Participating in this project could be a pivotal milestone in your career and a significant historical achievement for the region.
 
 
 Today, we are recruiting for a
 
 Civil Interface Engineer
 
 to join our team in Egypt. This is an excellent career opportunity for professionals looking to join a truly international team in one of the biggest projects of Siemens Mobility.
 
 
 
 What are my responsibilities?
 
 
 
 <ul>
 <li>
 Prepare civil -related Interface documents with coordination with related disciplines within Siemens and partners. Then coordinate with Employer representative to reach approvals.
 </li>
 <li>
 Review design drawings received and facilitate approval cycle via Aconex.
 </li>
 <li>
 Review design drawings verses standards and contract requirements and interface documents.
 </li>
 <li>
 Work on developing cable routes with CAD team as per requirements and review CSD drawings.
 </li>
 <li>
 Review and reply to RFI&rsquo;s from the employer or the partner.
 </li>
 <li>
 Coordinate all civil-related interfaces between Siemens System scope and partners and employer.
 </li>
 <li>
 Interact with the Siemens project team, the Siemens Engineering lots with relevant departments inside the Siemens organization (such as Commercial, legal, and Project Management), the consortium, civil companies, architect&rsquo;s offices as well as public jurisdictions, citizen groups, and consultants, whenever necessary.
 </li>
 <li>
 Ensure that the E&amp;M interface with the different civil companies is harmonized with each other to avoid individual solutions with different interface partners.
 </li>
 <li>
 Contribute to power station/passenger station/wayside/depot and system design-related field design changes, non-conformance reports, requests for information, and documentation.
 </li>
 <li>
 Contribute to subjects such as negotiating contract change orders.
 
 
 </li>
 </ul>
 
 What do I need to qualify for this job?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Civil / Architectural Engineering or Construction Management.
 </li>
 <li>
 A minimum of 5 years of experience in Civil Engineering, additionally rail transportation experience in the design and construction of major transit improvement projects (passenger stations/power stations/wayside and depots) is highly desirable.
 </li>
 <li>
 Experience in interface management as well as tender and contract analysis.
 </li>
 <li>
 Track construction/system knowledge railway is desirable.
 </li>
 <li>
 Technical assessment competence for planning and system design of structural and civil engineering works for railway infrastructure (e.g. engineering structures and associated railway installations).
 </li>
 <li>
 Fluency in both written and spoken English.
 
 
 </li>
 </ul>
 
 What else do I need to know?
 
 
 
 As a world leader in developing and producing the most advanced technologies, we improve lives and further human achievements worldwide, while also protecting the climate - all thanks to our employees. Working with us, you have the foundation to develop personally and professionally. We give you the chance to do something significant, that benefits society and human progress. We give you the chance to create a difference.
 
 
 At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
 
 
 Diversity at Siemens is our source of creativity and innovation. Having different types of talent and experiences makes us more ambitious and better prepared to respond successfully to the demands of the Society. Therefore, we value the candidates that reflect the Diversity that we enjoy in our Company. Please find more information at www.siemens.com
 
 
 We are looking forward to receiving your online application.
 
 
 Please note: Only complete applications can be considered in the selection process.
</div>

Civil Interface Engineer @Siemens Mobility Egypt

Amazon

<div>
 
 Description
 
 
 
 The AMET Head of Pre-Construction leads the delivery of pre-construction( engineering design) phases for significant Customer Fulfillment "FC", delivery station "AMZL", sort center "SC" and quick commerce projects and conversions (6k-1MM sqf) across AMET countries, managing an annual investment portfolio exceeding USD 1 billion. This role drives projects from site selection, site evaluation, budget estimate, concept design, schematic design, detail design through construction readiness, ensuring launches meet Plan of Record requirements for timeline, quality, and financial targets while building a robust 3+ year pipeline to anticipate future capacity needs.
 
 
 You will reduce business risk by analyzing and developing projects that define the next generation of high-performing fulfillment centers across AMET. Working at the intersection of real estate, design, and construction, you'll evaluate opportunities, influence strategic decisions, and establish the foundation for successful project execution. This role offers significant impact on AMET's infrastructure growth and the opportunity to develop future leaders by identifying and coaching talent within your team.
 
 
 Key job responsibilities
 
 
 Strategic Project Leadership: Lead pre-construction activities (site selection, site evaluation, budget estimate, concept design, schematic design, detail design) for complex projects, partnering with Design &amp; Construction stakeholders and Real Estate teams to develop construction and site strategies that deliver optimal quality and business outcomes.
 
 
 Risk Management &amp; Analysis: Identify process improvements, analyze design conflicts, evaluate resources, and predict and mitigate risks throughout the pre-construction phase. Balance strategic initiative deployment with consistent project management leadership.
 
 
 Critical Decision Making: Assess complex situations requiring leadership visibility and involvement. Apply sound judgment to navigate decisions, weighing risks and opportunities while determining appropriate escalation paths.
 
 
 Team Leadership: Lead and drive cross-functional teams to deliver results and execute project deliverables independently. Participate in and lead continuous improvement initiatives.
 
 
 Technical &amp; Analytical Excellence: Apply analytical skills to navigate local regulations and customer requirements. Challenge current practices and develop innovative solutions that meet timelines, raise the bar, and exceed expectations.
 
 
 Stakeholder Communication: Create and own written communications to business partners and stakeholders on pre-construction matters. Build collaborative, influential relationships within GES and with critical stakeholders inside and outside Amazon.
 
 
 Problem Resolution: Troubleshoot issues independently and drive them to closure with minimal supervision. Navigate internal and external barriers while managing multicultural teams and facilitating stakeholder alignment.
 
 
 Travel: Up to 50% travel across AMET region to support site evaluations and construction oversight.
 
 
 A day in the life
 
 
 As the AMET Head of Pre-Construction, you will represent Amazon GES in ensuring the successful delivery of pre-construction phases (site selection, site evaluation, budget estimate, concept design, schematic design, detail design) for Amazon's projects while strategically advancing processes, health &amp; safety standards, and sustainability performance. You will lead and mentor large cross-functional teams, serving as the subject matter expert to guide projects from concept through construction readiness.
 
 
 Your expertise will drive critical decisions on technical solutions, cost implications, and risk mitigation strategies that impact project safety and delivery timelines. You'll balance strategic oversight with hands-on engagement, ensuring your team delivers excellence while developing their capabilities for future leadership roles.
 
 
 Daily activities include reviewing the pre-construction program with your team and key partner organizations, conducting site validations during the site selection process, performing due diligence assessments, managing design development, leading risk analysis, negotiating contracts and costs, and maintaining stakeholder alignment. You'll travel to sites during the evaluation process and provide construction oversight during critical project phases.
 
 
 Strong communication skills are essential&mdash;you'll engage effectively with both frontline teams and executive leadership, translating complex technical concepts into clear business recommendations and ensuring alignment across all organizational levels.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience in one or more of the following areas: construction or engineering project management, real estate development, or architecture/design
 </li>
 <li>
 15+ years of experience in construction management, pre-construction management, or related disciplines with progressive leadership responsibility
 </li>
 <li>
 10+ years leading development and pre-construction activities for logistics facilities, warehouses, industrial facilities, and/or critical infrastructure projects
 </li>
 <li>
 Bachelor's degree in Civil, Architecture, mechanical, industrial Engineering, or related field (or equivalent experience)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AutoCAD and/or Building Information Modeling (BIM), as well as scheduling software (Primavera, MS Project, or similar)
 </li>
 <li>
 certification such as Professional Engineer (PE), LEED, or Certified Construction Manager (CCM)
 </li>
 <li>
 Project Management Professional (PMP) or equivalent certification
 </li>
 <li>
 French, German, Polish, Arabic, Portuguese, Turkish, Chinese (Mandarin), Afrikaans and Zulu are considered preferred qualifications.
 </li>
 <li>
 Master's degree in Engineering, or related field
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3190309
</div>

Sr Regional, Pre-construction, GES

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Intellias

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
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 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
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 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
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AI & Analytics - Sr. Software Engineer with AI Background - Cairo

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