Engineering Manager, Operator Tooling

Undelucram.ro on behalf of:

Capgemini Romania
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About The Job
We are building an enterprise-grade agentic AI platform for a major telecommunications client, focused on network operations. The platform helps operations teams triage events, run diagnostics, and drive incident and change workflows by reasoning over large volumes of internal network knowledge (alarms, tickets, vendor documentation, process data). It is evolving from a single retrieval-augmented assistant toward a multi-agent operations platform with progressively higher levels of autonomy, always under strict human-in-the-loop and data-protection controls. The solution runs on Google Cloud and aligns to the client's central AI engineering and architecture standards.

We are looking for a senior architect to own the end-to-end agentic architecture and steer a nearshore delivery team.

YOUR ROLE

• Design a modular multi-agent architecture (planner, executor, memory, tool interfaces) and the orchestration and task-handoff logic between agents
• Define autonomy levels, decision boundaries, and human-in-the-loop controls for operational use cases
• Architect RAG and long-term memory across multiple enterprise knowledge sources; set model-selection and LLMOps patterns on GCP / Vertex AI (Gemini)
• Embed guardrails, fallback mechanisms, and GDPR / data-protection compliance into the design
• Define the evaluation and safety-testing strategy (task completion, hallucination detection, bias) and the release quality gates
• Steer junior and nearshore developers, review delivery, and uphold architectural standards
• Interface with client stakeholders and the central AI architecture function on standardisation and scale

YOUR PROFILE

• 7+ years in AI/ML, including hands-on GenAI and agentic systems
• Deep, hands-on GCP experience (Vertex AI, Agent Development Kit / ADK), RAG, and LLMOps
• Proven multi-agent and orchestration design
• Strong grasp of guardrails, evaluation, and responsible-AI / data-protection practices
• Able to lead a distributed delivery team and communicate with senior client stakeholders
• Telco or network-operations domain experience a plus

WHAT YOU'LL LOVE ABOUT WORKING HERE:

• Flexible and dynamic work environment involving teams spread across different global locations;
• Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
• Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
• Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).

Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.

About Us
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com

Retarus is a worldwide provider of cloud-based messaging solutions at enterprise scale. We serve over 40% of the companies listed on the S&P Global 100, e.g.
Adidas, Bayer, SAP, BNP Paribas, Goldman Sachs, T-Systems, Swarovski
&
UPS
, as well as governmental agencies and major players in markets across the world. Privately owned and founder-managed for over thirty years, Retarus is customer-oriented, stable, a fair employer, and a strategic business partner with a long-term vision. With some 500 employees in 19 offices on four continents, Retarus operates locally and thinks globally: our teams are organized across borders and are highly integrated. This makes Retarus a multicultural, multilingual, and engaging workplace. We are committed to creating a diverse and dynamic environment for our employees, with generous compensation, time off, and a global, collaborative workplace.

Digital. Inspiring. Unique.
Tchibo is one of the ten largest eCommerce companies in Germany. We could never have attained this standing without the courage to constantly rethink the old ways.

In the digital world at Tchibo, we work with the latest technologies to develop sustainable and effective solutions. Do you want to help us do this? Enrich our team with your fresh ideas!

Your tasks: You make a difference with us.
Tchibo is one of the ten largest eCommerce companies in Germany. We could never have attained this standing without the courage to constantly rethink the old ways. In the digital world at Tchibo, we work with the latest technologies to develop sustainable and effective solutions. Do you want to help us do this? Enrich our team with your fresh ideas!

This position is located in Bucharest, Romania.
Environment
:

The team is responsible for the Tchibo datacenter operations and M365 cloud workloads. The team is already working with international colleagues in Europe and Asia. Our vision is to become serverless and bring our services to the cloud where possible.

The role will be responsible for the Tchibo Exchange Online environment and decommissioning the Exchange servers. In addition to this the role will be responsible for the Exchange Online architecture and thinking forward with the M365 capabilities.

Technologies:
Active Directory, Entra ID, Exchange Server, Exchange Online, E-Mail-Security, M365 Administration

General Tasks:

• Plan and execute the full migration from our hybrid Exchange environment to a pure Exchange Online solution, taking ownership of the project
• Decommission the legacy on-premise Exchange infrastructure in a structured and controlled manner
• Manage, secure, and continuously optimize the Exchange Online environment post-migration, acting as the long-term operational owner of the platform
• Automate administrative tasks and recurring processes to increase efficiency and reduce manual effort
• Implement and enforce security best practices within the Exchange Online environment (e.g., mail flow policies, data loss prevention, access controls)
• Collaborate closely with adjacent teams, in particular the Microsoft 365 and Entra ID teams, to ensure seamless integration across the platform
• Manage and optimize Exchange-related configurations in Microsoft Entra ID (e.g., hybrid identity, authentication policies)
• Support day-to-day operations, including incident response, monitoring, and performance analysis of the Exchange Online environment and our daily operation shifts
• Contribute to the continuous improvement of our broader Microsoft 365 ecosystem by sharing expertise and aligning with platform-wide standards and best practices
• Act as an owner of the global documentation of our Exchange Online environment

Your profile: You keep discovering with us.

• 3–5+ years of hands-on experience in a Microsoft 365 or Exchange administration/engineering role
• In-depth knowledge of Exchange Online, including mail flow, transport rules, data loss prevention, anti-spam/anti-phishing policies, and mailbox management
• Proven experience with hybrid Exchange environments (on-premises Exchange combined with Exchange Online), including migration projects
• Solid understanding of Active Directory, Microsoft Entra, particularly in the context of Exchange and Entra ID
• Experience with PowerShell scripting for automation of administrative tasks and processes is essential
• Good understanding of email security standards and protocols (e.g., SPF, DKIM, DMARC, TLS)
• Familiarity with Microsoft 365 monitoring and reporting tools (e.g., Microsoft Defender for Office 365, Exchange Admin Center, Microsoft 365 Admin Center)
• A collaborative mindset with strong communication skills and the ability to work effectively with cross-functional teams
• Experience with using AI in your daily business
• Very good knowledge of English; German is an advantage

Nice to have:

• Knowledge of Microsoft Teams and SharePoint Online, and how they integrate with Exchange Online
• Experience with IT service management processes (e.g., ITIL), particularly in the context of incident and change management

Basic understanding of Azure services and how they interconnect with the Microsoft 365 ecosystem (e.g., Azure Functions, Azure Logic Apps, Azure Monitor)

Your Benefits: Together We Stay Different

• Work-Life Balance : Flexible hybrid working policy, 26 vacation days + your birthday off.
• Perks : Monthly transport allowance, meal tickets, health & life insurance.
• Coffee Lovers Welcome : Free Tchibo coffee for home and office.
• Innovative Work Culture : You’ll work on impactful projects in a collaborative and open-minded team.
• Diversity & Inclusion : A place where your perspectives and ideas are valued.

Our job suits you? Then we are looking forward to your application! It's super fast: upload attachments, our motivation questions answer - done.
Without a cover letter
!

Please contact our recruitment department at: recruiting.tech@tchibo.ro
. You have questions? Simply contact our recruiting support at +49 40 6387 3353.

Job Description
If you are a senior AI and software engineering professional with a strong background in designing and delivering production-grade AI systems, we invite you to join Accenture's fast-growing Artificial Intelligence Platform and work as part of a worldwide team of experts. In this role, you will shape the architecture of advanced AI solutions across multiple client engagements, working closely with delivery teams, product stakeholders, and business leaders. You will define end-to-end scalable, reliable and cost-efficient AI architectures, contribute to technical solutioning in business development initiatives and help evolve our platform's AI engineering practices.

Our future colleague will do

• Define end-to-end scalable, resilient and efficient architectures for advanced AI systems (including data pipelines, model training and serving, retrieval systems, monitoring, and governance) in multi-stakeholder environments, balancing client needs, technical constraints, timelines, and costs;

• Collaborate closely with delivery teams to translate architectural designs into work items and identify and resolve architectural challenges during project execution;

• Own or contribute to technical solutioning in business development initiatives, including proposal input, architecture design, and effort estimation;

• Mentor senior engineers and contribute to raising architectural and engineering maturity across teams;

• Pilot and evaluate emerging tools and AI technologies.

What Will Help You Succeed

• Strong experience designing and delivering production-grade AI software systems across different domains;

• Proven expertise in designing and/or implementing generative AI systems in production, including agentic systems, RAG pipelines, tool-use patterns, and model adaptation strategies (e.g., fine-tuning of open-source LLMs or diffusion models);

• Practical experience in retrieval and knowledge systems, e.g., Vector DBs (Pinecone, Chroma, etc.), ingestion frameworks (Kafka, Debezium, etc.), Graph DBs (AWS Neptune, Neo4j);

• Breadth of knowledge across modern AI technologies, including generative models, deep learning, and predictive ML;

• Solid knowledge of cloud-based AI platforms, infrastructure concepts, and MLOps practices, including containerization, orchestrated and/or serverless deployment, monitoring, versioning and governance;

• Strong client-facing communication skills, with the ability to reason clearly about trade-offs involving performance, cost, risk, and maintainability;

• Collaborative mindset and mentorship-oriented approach to technical leadership.

What We Expect

• 6+ years of professional software engineering experience, including work on distributed, large-scale systems;

• 3+ years of hands-on experience in data science and machine learning projects delivered into production;

• Affinity for multi-layered AI system design in various contexts and use cases (e.g., end-to-end AI systems, Agentic platforms, workflow engines, etc.);

• Experience using cloud-based AI platforms (e.g., Azure ML, AWS SageMaker, or equivalent);

• Working knowledge of MLOps methodologies, including CI/CD, monitoring, and governance;

• Proven progression from hands-on implementation to system-level architectural responsibility.