Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS

Job Description
Location:
Zurich, Geneva, Basel

Work Pattern Percentage:
80-100%

Finding the talent that makes Deloitte unique
Do you want to use your cyber expertise, entrepreneurial and innovative mindset to protect companies and society from digital threats, thus making the world a safer place? As the undisputed global leader in cyber security, we work with more than 80% of the Fortune Global 500 companies to make an impact that matters. Join us as we support the next generation of cyber talent, invest in emerging technologies and drive progress in a dynamic, digital world.

How You Can Make An Impact

• You will apply your knowledge of the client needs and industries to identify relevant cyber risks and develop a tailored strategy on how to best navigate those focusing on infrastructure, cloud and network security in a cloud-enabled world.
• You will support and lead in clients' large-scale transformational projects, applying not only your security expertise but also project management experience and social skills.
• You will be part of the leadership that is creating fit for purpose cyber strategies by leveraging your experience, market knowledge and our international network of cybersecurity experts.
• You will collaborate with interdisciplinary and varied set of team members, client stakeholders and service providers from across the globe.
• You will actively create and manage lasting relationships with a diverse set of stakeholders, building on trust as the foundation for business success.

Who We Are Looking For
In addition to fluency in English, you have:

• 10+ years experience in infrastructure / network security , including 3+ years of project management experience in a professional services firm
• 5+ years experience in implementing infrastructure security projects and experience in SASE implementation
• 5+ years experience working in a Big4 Consulting Firm
• A Masters in Information Security and/ or another relevant field, as well as the CISSP certification

Your team
Become part of a diverse, multinational, and highly motivated team of over 65 Cyber professionals at our offices in Zurich, Basel, Geneva or Lausanne. We will help you grow both personally and professionally: through our trainings, mentoring programs and on-the-job learning, but also by connecting with your colleagues across all business lines.

Together we are building an inclusive, and open, and culture where you can truly be yourself and where your successes are celebrated. We encourage you to be bold, think big, and challenge the status quo – and we will at your side to support you in developing your career and grow both professionally and personally.

Careers at Deloitte. Choose your impact.
At Deloitte, your ideas create impact and spark meaningful change for our clients, people and society. Your unique expertise, background and perspective helps us find new ways into the most complex challenges so we can brighten the futures of those our work affects. At Deloitte, you can build a career that inspires and energises you. At Deloitte, you can choose your impact.

In Switzerland, we provide industry-specific services in the areas of Audit & Assurance, Tax & Legal, Strategy, Risk & Transactions Advisory, and Technology & Transformation. With close to 3,000 employees at six locations, we serve companies and organisations of all sizes in all industry sectors. We offer meaningful and challenging work, an inclusive and supportive environment where you can be your best self and where you will never stop growing. You will benefit from flexible and hybrid working conditions, wellbeing and parental programmes as well as many opportunities to connect, collaborate and learn.

Join us and become part of a global network of like-minded people dedicated to making a difference, whether by addressing climate change or improving 100 million futures by 2030. Want to know more about opportunities at Deloitte? Visit www.deloitte.com/ch/careers .

How To Apply
We look forward to hearing from you! Please click on “apply now” to submit a complete application, including CV, cover letter, references and degree certificates.

If you have any questions, please contact Sidorela at talent@deloitte.ch

• We consider all qualified applicants for employment regardless of race, ethnicity, religious beliefs, gender, sexual orientation, gender identity, national origin, age or disability, in accordance with applicable law. Research shows that women are less likely to apply for roles unless they match all criteria; don't hold yourself back - apply today.

We do not accept applications from recruitment agencies for this position.

Deloitte Consulting AG and Deloitte AG are affiliates of Deloitte NSE LLP, a member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”)

Requisition code: 19207

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ programming language.
• 3 years of experience testing, maintaining, or launching software products.
• 3 years of experience in computer vision and sensor fusion.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working with embedded real-time systems.
• Expertise in the following areas: performance debugging and optimization of complex workloads, design of performance tools, compiler design and code optimization, high-performance software development techniques, concurrent programming, or multi-core computer architectures.

About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team delivers research and performance optimization for the XR world-sensing stack. Our work spans device qualification and calibration, image processing, visual-inertial sensor fusion, IMU-based motion understanding, and end-to-end system verification. We power products across the entire XR ecosystem, including headsets, smart glasses, and mobile phones.

We operate in the 0-to-1 research-to-product space, building foundational visual-inertial fusion for odometry, localization, mapping, calibration, and head-tracking image processing. Our technology powers the AndroidXR ecosystem, including GalaxyXR and upcoming devices such as Aura.

In this role, you will push the boundaries of spatial computing to enable delightful Augmented Reality (AR) experiences. You will drive cross-functional ideation and development to chart the future capabilities of next-generation AR devices.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Develop head-tracking components of a variety of XR devices, using vision and IMU data in real-time/power constrained compute environments.
• Work with stakeholders to define requirements and drive algorithmic design, implementation, and end-to-end verification.
• Initiate, contribute to, or lead new research collaborations with partner teams to deliver novel technical components solving the toughest challenges facing consumer AR devices on commodity hardware.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience leading technical discovery sessions with customers.
• Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience in a post-sales or technical consulting delivery function.
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Excellent communication skills, and proven experience enabling technical teams on Agentic AI, at scale.

About the job
As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. Your role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. You will embed with accounts, serve a dual purpose providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

• Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with partner’s engineering teams to instill Google-grade development best practices, ensuring project success and high end-user adoption and scale impact through assets and scaled technical events, such as scaled and bespoke partner hackathons.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Die Group Technology Services des Migros-Genossenschafts-Bundes erbringt vielfältige IT-Dienstleistungen für die strategischen Geschäftsfelder der Migros-Gruppe. Im Bereich Lean Solutions übernimmst du die End-to-End-Verantwortung für verschiedene SaaS-Applikationen und stellst deren stabilen Betrieb, Weiterentwicklung sowie wirtschaftliche Steuerung sicher. Werde Teil unseres Teams!

Was du bewegst

• Verantwortung für den reibungslosen Betrieb inkl. Störungsanalyse und -behebung (RCA, Problem-, & Eskalations-Management) sowie proaktive Information der Stakeholder (End-to-End)
• Orchestrierung interner und externer Partner sowie Koordination der kontinuierlichen Weiterentwicklung der Applikationen
• Überprüfung und Umsetzung von gruppenweiten Architektur- & Security-Richtlinien
• Erstellung und Aktualisierung von Betriebs-, Benutzer- und Systemdokumentationen
• Verantwortung für die Planung, Erstellung und Steuerung des Applikationsbudgets inkl. Kostenkontrolle sowie Durchführung interner Operations Reviews
• Unterstützung bei User Acceptance Tests & Integrationstestings

Was du mitbringst

• Bildung: Abgeschlossenes Studium (Uni/ETH, FH, HF)
• Fachrichtung: in Informatik oder Wirtschaftsinformatik oder vergleichbare Ausbildung auf eidgenössischem Niveau
• Berufserfahrung: Mindestens 5 Jahre Berufserfahrung im Applikationsbetrieb/-Management sowie Erfahrung in der Budgetverantwortung oder Kostensteuerung im IT-Umfeld
• Agiles Mindset (SAFe, Scrum), gute Kommunikationsfähigkeiten und Freude an der Organisation
• Ausgeprägtes analytisches Denkvermögen
• Erfahrungen mit Cloud-Management, idealerweise Azure
• Deutsch (C1)
• Englisch (A2)
• Französisch (ADVANTAGEOUS)

Was wir dir bieten

• Moderne Infrastruktur: Vielfältige Arbeitszonen und moderne Co-Working-Spaces mit fortschrittlicher Ausstattung
• Mobil-flexibles Arbeitsmodell: Zeitliche und räumliche Flexibilität bei der Erfüllung der Funktion (als Orientierung 40% Home Office)
• Eigenverantwortung & Freiraum: Abwechslungsreiches Aufgabenfeld mit hoher Eigenverantwortung
• Sozialleistungen: Attraktive Anstellungsbedingungen mit sehr guten Sozialleistungen
• Sport- und Fitnessangebote: Kostenbeteiligung an Abos von über 50 Migros Fitness-/Wellness-/Aquaparks
• Faire Löhne: Funktionsorientierte und marktgerechte Entlöhnung - "We pay fair" zertifiziert

Es werden nur Online-Bewerbungen über das Bewerbungsportal berücksichtigt.

Rekrutierungsprozess

• Bewerbungsunterlagen einreichen
• Vorselektion der Bewerbungen
• Gespräch mit HR & Fachabteilung
• Fachgespräch mit Case-Präsentation
• Kennenlernen Team
• Angebot & Vertragsausstellung (Digital)

Kontakt
Frau Lisa Weissenböck

Talent Acquisition Partner

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