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full stack engineer ( .net + angular)

senior ai engineer

Finaira

<div>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
The difference you will make<ul><li>
Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
</li><li>Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
</li><li>Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
</li><li>Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
</li><li>Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
</li><li>Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
</li><li>Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
</li><li>Influence technical direction and architecture discussions within the AI/ML team and across engineering.
</li><li>Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.</li></ul> 

Requirements 
Education:
<ul><li>Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
</li></ul>Experience:
<ul><li>5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
</li><li>Demonstrated deep expertise in a specific AI sub-field.</li></ul>
Technical Skills:
<ul><li>Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
</li><li>Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
</li><li>Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
</li><li>Strong architectural design skills for complex data pipelines and scalable AI inference systems.
</li><li>Proficiency in system design, distributed systems, and performance optimization.
</li><li>Ability to critically evaluate and apply academic research to real-world problems.</li></ul>
Soft Skills:
<ul><li>Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.
</li><li>Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
</li><li>Ability to work independently, collaborate effectively and mentor junior team members.
</li><li>Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
</li><li>Adaptability and learning agility in a fast-paced environment.
</li><li>Strong attention to detail and a commitment to quality.
</li><li>Receptiveness to feedback and continuous improvement mindset</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Senior AI Engineer

700apps

<div>
 We are looking for a
 
 Senior AI Engineer
 
 to join our growing technology team and lead the development of advanced AI solutions. In this role, you will design, build, and deploy scalable AI models that power intelligent products and services.
 
 
 You will work closely with cross-functional teams to transform complex business challenges into innovative AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms
 </li>
 <li>
 Collaborate with engineering, product, and data teams to deliver AI-powered features.
 </li>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning development.
 </li>
 <li>
 Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience with LLMs, NLP, or Generative AI is highly preferred.
 </li>
 <li>
 Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Strong understanding of data structures, algorithms, and software engineering best practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 </ul>
</div>

Quality Standards for Information Technology - QSIT

<div>
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and optimize AI/ML solutions for real business use cases.
 </li>
 <li>
 Build and evaluate machine learning, deep learning, and generative AI models.
 </li>
 <li>
 Analyze and preprocess structured and unstructured data to support model development and solution quality.
 </li>
 <li>
 Validate model performance, reliability, scalability, and production readiness.
 </li>
 <li>
 Ensure AI solutions align with enterprise standards for maintainability, quality, and governance.
 </li>
 <li>
 Design and implement LLM-based and Generative AI solutions, including RAG pipelines, prompt engineering, retrieval optimization, and evaluation.
 </li>
 <li>
 Work with embeddings, vector search, reranking, and enterprise knowledge integration patterns.
 </li>
 <li>
 Support use cases such as document intelligence, AI assistants, chatbots, search augmentation, and decision-support solutions.
 </li>
 <li>
 Own AI solution delivery from requirement analysis through deployment, integration, and handover.
 </li>
 <li>
 Collaborate with software, data, and platform teams to integrate AI capabilities into enterprise platforms and APIs.
 </li>
 <li>
 Support monitoring, optimization, and post-go-live improvement of AI services.
 </li>
 <li>
 Apply MLOps / LLMOps practices for reproducibility, deployment automation, monitoring, and lifecycle management.
 </li>
 <li>
 Support technical proposal development, bid responses, and client-facing AI solution discussions when required.
 </li>
 <li>
 Contribute to technical presentations, solution write-ups, and AI capability positioning.
 </li>
 <li>
 Provide technical insight during opportunity shaping and feasibility assessments.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Science, AI, Data Science, Computer Engineering, or related field.
 </li>
 <li>
 From 4&ndash;6 years of hands-on experience delivering end-to-end AI/ML solutions in real business environments (not just PoCs/research).
 </li>
 <li>
 Strong Python skills; hands-on with PyTorch, TensorFlow, and Scikit-learn.
 </li>
 <li>
 Experience in data preprocessing, feature engineering, model evaluation, and optimization.
 </li>
 <li>
 Practical experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
 </li>
 <li>
 Familiar with prompt engineering, LLM evaluation, guardrails, and inference optimization.
 </li>
 <li>
 Experience with MLOps/LLMOps (deployment, monitoring, versioning, lifecycle).
 </li>
 <li>
 Cloud experience: Azure AI / Azure OpenAI preferred; AWS/GCP a plus.
 </li>
 <li>
 Experience with APIs, microservices, enterprise integration, and Docker/containers.
 </li>
 <li>
 Experience in domains like NLP, document intelligence, CV, forecasting, recommendations, or conversational AI.
 </li>
 <li>
 Strong analytical, communication, and cross-functional collaboration skills; leadership/mentoring mindset.
 </li>
 <li>
 Proven delivery of deployed AI/ML solutions.
 </li>
 <li>
 Provide project examples with: domain/client, AI approach, role, and deployment environment.
 </li>
 <li>
 Show involvement in deployment, handover, and post-go-live support/optimization.
 </li>
 </ul>
 
 
</div>

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end ML/AI solutions. Build and optimize LLM-based systems (Agents, Agentic workflows, RAG pipelines, embeddings, multimodal, etc.).
 </li>
 <li>
 Research, evaluate, and experiment with new AI techniques, models, tools, and frameworks, and assess their feasibility, performance, and business impact.
 </li>
 <li>
 Fine-tune, evaluate, and benchmark systems using quantitative and AI-Based evaluation methods.
 </li>
 <li>
 Stay up to date with advancements in the field. Drive adoption of relevant innovations into production systems.
 </li>
 <li>
 Design AI system architecture with focus on production aspects such as scalability, latency, cost efficiency, and reliability.
 </li>
 <li>
 Collaborate with product, backend, and cloud teams to integrate AI systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of hands-on experience in AI/ML development.
 </li>
 <li>
 Master&rsquo;s degree (MSc) in AI, Machine Learning, Computer Science, or a related field. (a significant advantage)
 </li>
 <li>
 Solid ML/AI fundamentals.
 </li>
 <li>
 Strong practical experience in AI related developments (Python, frameworks, tools, etc.).
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience deploying AI solutions to production environments.
 </li>
 <li>
 Experience with cloud AI platforms (e.g., GCP, Vertex AI).
 </li>
 <li>
 Familiarity with MLOps, monitoring, and CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Artificial Intelligence
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-01-19
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Senior AI Engineer, AI4ALL

Deloitte

<div>
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 Your Tasks would include
 
 :
 
 
 
 <ul>
 <li>
 Engage with clients to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 
 Data Analysis And Pre-processing
 
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 
 Algorithm Development
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 
 Model Training And Evaluation
 
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 
 Data Visualization
 
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Work with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering or equivalent
 </li>
 <li>
 3-7 years of experience in Data Science and AI/ML
 </li>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied AI Engineer

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
 
 
In technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations.
<div><div>4 + Year s 
</div><div><ul><li>(Senior) Copilot and AI Engineer / Consultant Microsoft 365 Copilot, Copilot Studio and Power Platform
</li></ul></div><div><ul><li>At PwC, we build AI solutions that are productive, secure, scalable and governed. In this role, you will take functional and technical ownership of Copilot and AI solutions in the Microsoft ecosystem&mdash;from ideation to stable operations. 
</li></ul></div><div>Your responsibilities
</div><div><ul><li>Shape, assess and implement AI and Copilot use cases in the Microsoft environment
</li></ul></div><div><ul><li>Design, implement and operate Copilot and AI solutions using Microsoft 365 Copilot, Copilot Studio, Power Platform and Azure AI
</li></ul></div><div><ul><li>Build and evolve Copilot agents including tool and data integrations (APIs, Dataverse, Microsoft 365, external systems)
</li></ul></div><div><ul><li>Analyze business processes and translate requirements into scalable AI architectures with clear separation of model, context and tools
</li></ul></div><div><ul><li>Automate processes with Power Automate in conjunction with Copilot capabilities
</li></ul></div><div><ul><li>Integrate generative AI in line with security, DLP and governance requirements
</li></ul></div><div><ul><li>Evaluate data access, permissions and operating models for productive AI systems
</li></ul></div><div><ul><li>Test, optimize and monitor AI solutions in production
</li></ul></div><div><ul><li>Advise internal and external stakeholders on architecture, integration and operations in the Copilot and AI context
</li></ul></div><div><ul><li>Run structured workshops to assess AI potentials, risks and implementation options
</li></ul></div></div><div><div><ul><li>Contribute to internal standards and best practices for Copilot and AI solutions
</li></ul></div><div><ul><li>Present solutions and results clearly to technical and non-technical audiences 
</li></ul></div><div>Your profile
</div><div><ul><li>Degree in Computer Science, Information Systems, Data Science or a comparable technical field
</li></ul></div><div><ul><li>Several years of hands-on experience in the Microsoft ecosystem, especially Power Platform and Microsoft 365
</li></ul></div><div><ul><li>Strong experience with Copilot Studio, Power Automate and Dataverse; experience with Azure AI / Azure OpenAI or similar generative AI services
</li></ul></div><div><ul><li>Deep understanding of enterprise Security, Governance and DLP concepts
</li></ul></div><div><ul><li>Understanding of modern AI architectures, e.g., agent-based systems, context management and standardized context interfaces (e.g., MCP)
</li></ul></div><div><ul><li>Optional programming skills in C#, Python or similar languages
</li></ul></div><div><ul><li>Structured, analytical working style, high technical autonomy, and strong communication and presentation skills
</li></ul></div><div><ul><li>Languages: Excellent English skills required ; German is a plus (optional) 
</li></ul></div><div>What we offer
</div><div><ul><li>Ownership for Copilot and AI topics
</li></ul></div><div><ul><li>Challenging client projects beyond pure PoCs
</li></ul></div><div><ul><li>Blend of technical depth and strategic advisory
</li></ul></div><div><ul><li>Freedom to shape AI capabilities and services
</li></ul></div><div><ul><li>Clear development paths in AI and cloud environments 
</li></ul></div></div>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Client Management, Communication, Creativity, Deliverable Planning, Delivery Management, Developing User Stories, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Business Strategy, IT Consulting, IT Infrastructure, IT Service Management (ITSM), IT Systems Development, Leading Design Workshops, Learning Agility, Market Research, Optimism, Process Improvement {+ 22 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Software Developer - Copilot / Power Platform Developer - Senior Associate

Explore 640+ Senior ai engineer in Egypt this April. Find roles across top companies and apply now to boost your career.

640 senior ai engineer jobs In Egypt

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer, AI4ALL

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

Senior Data & Applied AI Engineer

ETIC, Software Developer - Copilot / Power Platform Developer - Senior Associate