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We are looking for an experienced Talent Management & OD expert – Reputed MNC to drive strategic HR transformation, organisation development and talent management initiatives aligned with business objectives. The role will be responsible for strengthening organisational structures, leadership capabilities, succession planning, performance management, compensation & benefits, learning & development and HR effectiveness. The position requires a postgraduate qualification in Human Resources, Business Administration or a related discipline, with 12+ years of relevant HR experience, preferably within the automotive, auto components or manufacturing industry. The candidate should have strong hands-on experience in Talent Management and Organisation Development, including independently managing or significantly contributing to at least one complete HR transformation cycle. The role will involve working closely with the CHRO, senior leadership and business teams to drive organisation-wide people transformation initiatives. Key Responsibilities Lead and execute Organisation Development and HR transformation initiatives aligned with business strategy. Assess existing organisation structures, roles, processes and people practices to identify improvement opportunities. Drive organisation restructuring, organisation design, job architecture, role clarity and manpower planning initiatives. Develop and implement comprehensive Talent Management and Succession Planning frameworks. Drive talent reviews, 9-box assessments, high-potential identification and Individual Development Plans (IDPs). Strengthen leadership pipelines and career development frameworks for critical positions. Review and enhance Compensation & Benefits structures, salary grades, incentive mechanisms and pay-for-performance frameworks. Design and implement Learning & Development strategies, competency frameworks and leadership development programmes. Review, develop and implement HR policies, processes and guidelines in line with organisational requirements. Enhance Performance Management Systems, including goal-setting, KRAs/KPIs, performance reviews and calibration processes. Lead change management, employee engagement and culture-building initiatives to support organisational transformation. Establish HR metrics and dashboards to monitor talent, workforce, performance, attrition and organisational effectiveness. Partner with the CHRO, business heads, functional leaders and HR teams to translate business requirements into effective people interventions. Facilitate leadership discussions and workshops related to organisation design, talent reviews and transformation initiatives. Ensure successful implementation and adoption of transformed HR processes, policies and systems across the organisation. Ideal Candidate Profile Master's degree in Human Resources, Business Administration or a related discipline. 12+ years of relevant HR experience, preferably within the automotive, auto components or manufacturing industry. Strong hands-on experience in Talent Management and Organisation Development. Must have managed or significantly contributed to at least one complete HR transformation / OD cycle. Demonstrated experience across Organisation Design, Organisation Restructuring, Succession Planning, Compensation & Benefits, Learning & Development and Performance Management. Strong understanding of Talent Reviews, 9-box assessments, Hi-Potential identification, competency frameworks and leadership development. Experience in HR policy development, process transformation and change management. Ability to translate business requirements into practical HR interventions and drive end-to-end implementation. Experience working closely with CHROs, CXOs, senior management and business leadership. Strong analytical, stakeholder management, facilitation, communication and influencing skills. Comfortable working in a hands-on, transformation-oriented environment.

Key Responsibilities Design, develop, and deploy enterprise AI agents using Microsoft Foundry, Azure OpenAI, and Copilot Studio. Build agent workflows, orchestration, tool calling, guardrails, and enterprise RAG solutions. Integrate AI agents with Microsoft Teams, Microsoft 365, SharePoint, Jira, and other enterprise systems. Develop secure API integrations using REST, OpenAPI, MCP, and function calling. Implement authentication, authorization, testing, monitoring, and CI/CD deployment processes. Build reusable AI components and collaborate with international teams to deliver secure, scalable solutions. Required Qualifications & Experience 5+ years of software engineering or cloud development experience, with substantial hands-on Generative AI experience. Proven experience deploying complex enterprise AI agents into production. Strong expertise in Microsoft Foundry / Azure AI Foundry, Azure OpenAI, and Copilot Studio. Strong Python, API integration, RAG, Azure AI Search, agent orchestration, and tool-calling skills. Knowledge of Microsoft Entra ID, OAuth 2.0, managed identities, and enterprise security. Experience with Git, CI/CD, automated testing, monitoring, and production deployments. Strong problem-solving skills and excellent English communication for international collaboration.

We’re seeking a hands-on Lead Solution Architect to design and deliver enterprise AI, agentic AI, and intelligent automation solutions. You’ll help establish an AI and automation engineering hub in India, working closely with international IT, architecture, and business teams. Responsibilities Design secure, scalable AI and automation solutions from concept through production. Lead developers and establish engineering standards, reusable components, and CI/CD practices. Integrate solutions with enterprise platforms such as Microsoft 365, SAP, Jira, and Confluence. Ensure alignment with security, architecture, AI governance, and operational requirements. Support recruitment and development of the engineering team. Qualification Typically 8+ years in software engineering, solution architecture, or enterprise cloud integration. Proven experience delivering complex enterprise solutions to production. Hands-on knowledge of Azure, Generative AI, agentic AI, APIs, DevOps, and intelligent automation. Experience leading technical teams and collaborating with international stakeholders. Strong English communication skills. Preferred: Azure AI Foundry, Azure OpenAI, Copilot Studio, RAG, AI agents, Python, Power Automate, Azure AI Search, Microsoft Graph, and LLMOps.

Role Overview Our client is seeking an experienced Cloud Infrastructure Architect to lead the design and modernisation of secure, scalable and resilient cloud infrastructure across enterprise environments. The role involves defining cloud architecture, developing migration strategies, establishing infrastructure standards and optimising cloud operations across AWS, Microsoft Azure or Google Cloud. The successful candidate will collaborate with application, security, networking, DevOps and operations teams to deliver reliable and cost-effective cloud platforms aligned with business objectives. The ideal candidate will bring extensive experience in cloud infrastructure architecture, hybrid and multi-cloud environments, automation, disaster recovery, high availability and infrastructure governance. Key Roles & Responsibilities Define cloud infrastructure architecture, standards and technology roadmaps. Design scalable, secure and highly available cloud environments. Lead cloud migration, infrastructure modernisation and data centre transformation initiatives. Develop hybrid-cloud and multi-cloud architecture solutions where required. Design cloud networking, identity management, storage and compute infrastructure. Establish infrastructure-as-code and automated provisioning practices. Implement cloud security, compliance, resilience and disaster recovery controls. Drive infrastructure monitoring, observability and operational excellence. Optimise cloud costs, resource utilisation and infrastructure performance. Collaborate with application and DevOps teams to enable cloud-native delivery. Define backup, business continuity and high-availability strategies. Establish architecture governance, technical standards and reusable infrastructure patterns. Provide technical leadership and mentor cloud engineering teams. Preferred Qualifications Bachelor's or master's degree in Computer Science, IT or Engineering. 12–18+ years of IT infrastructure experience, including substantial cloud architecture experience. Proven experience designing and implementing enterprise cloud platforms. Strong knowledge of cloud networking, security, storage, compute and automation. Relevant AWS, Azure or Google Cloud architecture certifications preferred. Key Skills & Attributes Cloud architecture and infrastructure strategy. Hybrid-cloud and multi-cloud design. Infrastructure automation and standardisation. Cloud security and governance. High availability and disaster recovery. Cloud cost optimisation and capacity planning. Technical leadership and stakeholder management. Technical Skills AWS, Microsoft Azure or Google Cloud. Virtual networks, VPCs, load balancers and DNS. Compute, storage, backup and disaster recovery services. Terraform, CloudFormation or equivalent infrastructure-as-code tools. Docker and Kubernetes. CI/CD pipelines and DevOps practices. CloudWatch, Azure Monitor, Prometheus or equivalent monitoring tools. IAM, encryption, secrets management and security controls. Linux, Windows Server and enterprise networking. Reporting / Team Relationships Works closely with: CTO / Head of Infrastructure Enterprise Architecture Team Cloud Engineering and DevOps Teams Cybersecurity Team Application Development Teams IT Operations and Service Management Teams What the Role Offers This is a strategic technology leadership opportunity for a cloud professional who wants to shape the future of enterprise cloud infrastructure and digital transformation. The successful candidate will play an important role in designing secure, scalable and resilient cloud environments, driving infrastructure modernisation and developing integrated solutions across cloud engineering, security and operations. The role offers an opportunity to influence cloud strategy, lead architectural initiatives and contribute to the growth of a technology-driven organisation.

Role Overview Our client is looking for a highly experienced Principal AI Engineer to lead the engineering and production deployment of advanced AI solutions, including Generative AI applications, LLM-powered systems, AI agents and machine learning platforms. The role focuses on translating AI research and business requirements into robust, scalable and production-ready applications. The successful candidate will provide hands-on technical leadership, establish AI engineering best practices and work closely with AI architects, product teams, data scientists and software engineers to deliver high-quality AI capabilities. The ideal candidate will combine deep engineering expertise with practical experience in building, evaluating, deploying and operating AI systems at enterprise scale. Key Roles & Responsibilities Lead the engineering and implementation of enterprise AI and Generative AI applications. Develop LLM-powered solutions, RAG pipelines and agent-based workflows. Build production-ready AI services using scalable software engineering principles. Design model evaluation frameworks to measure accuracy, reliability and business effectiveness. Develop data processing, embedding generation and retrieval pipelines. Implement prompt engineering, context management and AI orchestration strategies. Integrate AI models with enterprise APIs, databases and business applications. Optimise inference performance, latency, scalability and operational costs. Establish automated testing, CI/CD and deployment practices for AI applications. Implement observability, monitoring, guardrails and failure-handling mechanisms. Collaborate with architecture, product, data and security teams. Mentor senior engineers and establish reusable AI engineering standards. Evaluate emerging AI models, frameworks and technologies for enterprise adoption. Preferred Qualifications Bachelor's or master's degree in Computer Science, AI, Machine Learning or a related field. 10–15+ years of software engineering or AI-related experience. Strong hands-on experience building and deploying AI or machine learning applications. Demonstrated expertise in Generative AI and production LLM systems. Experience leading complex technical initiatives and mentoring engineering teams. Key Skills & Attributes Advanced software engineering and system design. Generative AI and LLM application development. RAG architecture and retrieval optimisation. Model evaluation and performance tuning. Production deployment and AI observability. Technical problem-solving and engineering leadership. Ability to balance innovation with reliability and maintainability. Technical Skills Python and modern software engineering practices. PyTorch, TensorFlow or equivalent machine learning frameworks. LLM APIs and open-source language models. LangChain, LlamaIndex or equivalent orchestration frameworks. Vector databases and semantic search. REST APIs, microservices and distributed systems. Docker, Kubernetes and cloud-native deployment. CI/CD, automated testing and MLOps/LLMOps. Model monitoring, evaluation and AI safety guardrails. AWS, Azure or Google Cloud AI services. Reporting / Team Relationships Works closely with: CTO / VP of Engineering AI Architect and Enterprise Architects AI and Machine Learning Teams Data Engineering Teams Product Management Team Cloud, DevOps and Security Teams What the Role Offers This is a senior technical leadership opportunity for an AI engineering professional who wants to shape the future of Generative AI, intelligent applications and advanced AI solutions. The successful candidate will play an important role in transforming AI concepts into scalable, production-ready applications, developing advanced AI capabilities and establishing engineering practices that improve performance, reliability and business value. The role offers an opportunity to influence technical direction, mentor engineering teams and contribute to the development of innovative AI-driven products.

The Operations Manager will oversee end-to-end supply chain execution, manufacturing efficiency, warehousing, and distribution logistics. The primary objective is to maintain an uninterrupted flow of products to modern trade, general trade, and distributor networks while maximizing cost efficiency and maintaining top-tier product quality. This is a high-speed, high-stakes role requiring a data-driven leader capable of optimizing multi-channel fulfillment under tight deadlines. Key Responsibilities Supply Chain & Logistics: Manage raw material procurement, inventory levels, warehousing logistics, and final product dispatch schedules to minimize out-of-stock scenarios. [1] Production Optimization: Coordinate closely with manufacturing plant heads to align daily production outputs with regional demand forecasts. [1] Vendor & 3PL Management: Negotiate and manage contracts with third-party logistics (3PL) partners, super stockists, and material suppliers to reduce logistics expenses. [1]

JOB INFORMATION Job Title: Consultant General Surgery Department: SURGERY SHORT DESCRIPTION An excellent opportunity to join one of the most prestigious and leading hospitals in the Red Sea region of Saudi Arabia as a Consultant General Surgery. MAIN DUTIES AND RESPONSIBILITIES Provide high-quality patient care in General Surgery. Provide consultative services as requested. Supervise fellows, staff/assistant physicians, and residents. Participate in the training and teaching of residents and fellows within the specialty, as well as research activities. Participate in committees and other administrative functions as needed. Perform specialized surgical procedures within the scope of granted privileges. Follow all hospital-related policies and procedures. Perform other related duties as assigned. REQUIRED QUALIFICATIONS Education Graduate from a recognized medical school. Completion of the required training in General Surgery. Saudi, American, or European Board Certification, or an equivalent qualification. Membership and/or Fellowship status in America or Europe, or an equivalent qualification, meeting the requirements for Consultant classification. A qualification recognized by the Saudi Commission for Health Specialties (SCFHS) is mandatory. DataFlow verification is mandatory. Professional Experience Minimum of 3–4 years of post-Board/Fellowship experience in General Surgery. Registration with the Saudi Commission for Health Specialties, as applicable. Language Proficiency in English; Arabic is an advantage. References Positive professional references confirming the candidate’s clinical skills, professional competence, and ethical conduct.

JOB INFORMATION Job Title: Consultant Orthopedics Department: SURGERY SHORT DESCRIPTION An Excellent opportunity to join as Consultant Orthopedics for one of the most prestigious and top tier leading Hospital in Red Sea,Saudi Arabia MAIN DUTIES AND RESPONSIBILITIES Provides high-quality care to patients in this area of medicine. Provide consultative service as requested. Supervise fellows, staff/assistant physicians, and residents. Actively participates in the training and teaching of residents and fellows in his area of expertise and Participates in research activities. Participates in committees and other administrative functions as needed. Performs special procedures as privileged. Follows all hospital-related policies and procedures. Performs other related duties as assigned. REQUIRED QUALIFICATIONS Education Graduate from a medical school of good standing. Completion of required period of training in specialty and/or Subspecialty Saudi Arab or American /European Board Certification or equivalent. Membership and/or Fellowship status in America and/or Europe or their equivalent and fulfilling the criteria for the consultant as required A certificate recognized by the Saudi commission is a must. Dataflow is a must. Professional Experience Min. 3-4 years Post Board/Fellowship in specialty. A registered member of the Saudi Board Council Language Proficiency in English; additional proficiency in Arabic may be beneficial. References Positive professional references attesting to the candidate's skills and ethical conduct.

Ihre Chance Für ein international tätiges Unternehmen im Bereich kritischer Infrastruktur suchen wir einen erfahrenen Project Controller (m/w/d) für die DACH-Region. Unser Mandant investiert in den Neubau und die Erweiterung technisch anspruchsvoller Infrastrukturstandorte. Die Projekte zeichnen sich durch hohe Investitionsvolumina, komplexe Bau- und Technikleistungen sowie die Zusammenarbeit unterschiedlicher interner und externer Projektbeteiligter aus. In dieser Position übernehmen Sie eine zentrale Rolle bei der kaufmännischen Steuerung laufender Bau- und Erweiterungsprojekte. Sie sorgen für Transparenz hinsichtlich Budgets, Kostenentwicklungen und finanzieller Risiken und unterstützen das Projektmanagement dabei, Investitionsvorhaben wirtschaftlich und planmäßig umzusetzen. Besonders interessant ist die Position für Kandidaten aus dem Bauwesen, dem industriellen Anlagenbau, der technischen Gebäudeinfrastruktur oder vergleichbaren projektorientierten Branchen. Ihre Aufgaben Projektkostencontrolling: Überwachung und Steuerung der Projektkosten bei Neubau-, Erweiterungs- und Infrastrukturprojekten innerhalb der DACH-Region. Budgetüberwachung: Kontinuierliche Kontrolle von Projektbudgets, Kostenverpflichtungen, Bestellungen und tatsächlichen Ausgaben. Abweichungsanalysen: Identifikation, Analyse und Erläuterung von Kostenabweichungen sowie Ableitung geeigneter Handlungsempfehlungen. Forecasting und Reporting: Erstellung monatlicher Projektberichte, Kostenprognosen, Budgetübersichten und finanzieller Projektfortschrittsanalysen. Finanzielles Risikomanagement: Frühzeitige Erkennung von Kostenrisiken und Unterstützung der Projektverantwortlichen bei der Entwicklung geeigneter Gegenmaßnahmen. Projektadministration: Prüfung und Sicherstellung korrekter kaufmännischer Prozesse, insbesondere im Zusammenhang mit Bestellungen, Budgetfreigaben und Kostenbuchungen. Business Partnering: Enge Zusammenarbeit mit Projektleitern, technischen Planern, Bauverantwortlichen und dem Finanzbereich. Monatsabschluss: Unterstützung bei periodischen Abschlussarbeiten und der finanziellen Bewertung laufender Projekte. Prozessoptimierung: Mitwirkung an der Weiterentwicklung von Controlling-, Reporting- und Projektsteuerungsprozessen. Ihr Profil Abgeschlossenes Studium der Betriebswirtschaft, des Wirtschaftsingenieurwesens, des Bauingenieurwesens oder eine vergleichbare Qualifikation mit kaufmännischem Schwerpunkt. Mehrjährige Berufserfahrung im Projektcontrolling, Cost Controlling oder in der kaufmännischen Projektsteuerung. Erfahrung in der Kostensteuerung größerer Bau-, Investitions- oder Infrastrukturprojekte, beispielsweise im Hoch- und Industriebau, Anlagenbau, bei Produktionsstätten, Logistik- und Lagerimmobilien, technischen Gebäudeanlagen oder Rechenzentren. Fundierte Kenntnisse in der Budgetplanung, Kostenverfolgung, Abweichungsanalyse, Forecast-Erstellung und im finanziellen Projektreporting. Sicherer Umgang mit komplexen Projektbudgets, Bestellprozessen und finanziellen Projektverpflichtungen. Fähigkeit, wirtschaftliche Risiken frühzeitig zu erkennen, verständlich aufzubereiten und konkrete Handlungsempfehlungen abzuleiten. Erfahrung in der Zusammenarbeit mit technischen Projektleitern, Ingenieuren, Bauverantwortlichen und kaufmännischen Ansprechpartnern. Sehr gute Excel-Kenntnisse sowie Erfahrung im Umgang mit ERP-Systemen. Verhandlungssichere Deutsch- und Englischkenntnisse. Eine strukturierte, analytische und eigenständige Arbeitsweise sowie ausgeprägte Kommunikationsfähigkeit. Erfahrung mit Projekten innerhalb der DACH-Region ist von Vorteil. Was Sie erwartet Spannende Investitionsprojekte: Mitarbeit an anspruchsvollen Neubau- und Erweiterungsvorhaben im Bereich moderner, kritischer Infrastruktur. Internationales Umfeld: Zusammenarbeit mit interdisziplinären Projektteams und Ansprechpartnern innerhalb der DACH-Region. Gestaltungsspielraum: Möglichkeit, bestehende Controlling-Prozesse weiterzuentwickeln und eigene Ideen einzubringen. Flache Hierarchien: Direkte Kommunikationswege und eine offene, kollegiale Unternehmenskultur. Flexible Arbeitsgestaltung: Hybrides Arbeitsmodell mit flexiblen Arbeitsmöglichkeiten. Attraktive Zusatzleistungen: Betriebliche Altersvorsorge, Fahrradleasing und weitere Benefits. Langfristige Perspektive: Tätigkeit in einer zukunftsorientierten Branche mit kontinuierlichen Investitionen und Entwicklungsmöglichkeiten. Interesse geweckt? Sie verfügen über Erfahrung im Projektkostencontrolling größerer Bau- oder Infrastrukturvorhaben und möchten Ihre Expertise in einem internationalen, wachstumsorientierten Umfeld einbringen? Dann freuen wir uns auf Ihre Bewerbung. Als spezialisierte Personalberatung begleiten wir Sie vertraulich durch den gesamten Bewerbungsprozess und informieren Sie gerne in einem persönlichen Gespräch über unseren Mandanten sowie die Rahmenbedingungen der Position.

Role Overview We are looking for an experienced Quality Assurance Engineer to ensure the quality and reliability of backend services, APIs and third-party integrations. The role requires strong API automation skills, log analysis, debugging and experience working with microservices and cloud-based applications. Key Responsibilities Own end-to-end testing, test planning, regression testing and release sign-off for backend services and APIs. Perform API automation using Java and RestAssured, including enhancing existing frameworks and developing new ones. Analyse application logs using ELK and trace requests across microservices using Datadog APM or equivalent tools. Test third-party integrations, including payload validation, data consistency, retries, timeouts and failure scenarios. Troubleshoot issues in AWS-hosted applications using Linux commands and SQL queries. Integrate automated tests into CI/CD pipelines using Jenkins and Docker. Plan and execute performance testing using JMeter or similar tools. Track quality metrics, collaborate with Product and Engineering teams, and explore AI-assisted testing practices. Required Skills & Experience Strong experience in QA, backend testing, API testing and integration testing. Hands-on expertise in Java, RestAssured and API automation frameworks. Experience with ELK, Datadog APM or equivalent monitoring and observability tools. Working knowledge of AWS, SQL, Linux, Jenkins and Docker. Familiarity with microservices architecture and performance testing tools. Strong analytical, debugging and problem-solving skills. Good to Have: Exposure to caching, messaging/queuing systems, databases and AI-assisted testing.