director, it engineering - end user support

head of engineering - business continuity

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director, it engineering - end user support Jobs in Munich

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head of engineering - business continuity Jobs in Munich

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senior endpoint management engineer

head of engineering business continuity

Factor Eleven

<div><h2 class="jobSectionHeader">About Us</h2>
Factor Eleven is a leading drive-to-store revenue platform for brick-and-mortar retailers and CPG brands. Our platform automates the entire lifecycle of digital promotion communication - from media planning and ad creation through to campaign delivery, billing, and reporting. Operating as a high-touch enterprise managed service, humans orchestrate our campaign strategy while our platform automates execution.
As we scale our engineering organization, maintaining the rock-solid reliability of our live core engine is paramount. This will be your mission as Head of Business Continuity.
Your team provides the high-performance operational runway that enables our rapid growth. As we evolve and scale, your role is to ensure the continued reliability of the live platform that keeps our biggest retail clients successful every day. This requires deep engineering judgment, exceptional operational leadership, and a calm and clear communication style.<h2 class="jobSectionHeader">
What You Will Do</h2><ul><li>
Team Leadership &amp; Coaching: Drive performance management, hiring, 1-on-1s, and development for your team of 8 engineers. Foster a culture of quality and operational accountability.</li><li>
Process Ownership &amp; Quality Control: Establish framework guardrails, control delivery, verify quality, and enforce strict engineering standards using modern tooling.</li><li>
Technical Strategy &amp; Architecture: Own the technical roadmap for the live platform, make sound system design trade-offs, write Architecture Decision Records (ADRs), and prioritize technical debt.</li><li>
Cross-Functional Stakeholder Management: Partner closely with Commercial leaders and Campaign Management to translate technical realities into business language.</li><li>
Hands-on Technical Oversight: Conduct critical code reviews, lead incident response, and drive critical bug resolution or technical debt triage.</li></ul><h2 class="jobSectionHeader">
What We Are Looking For</h2><ul><li>
8+ years of total software engineering experience, incl. 4+ years in engineering leadership, directly managing frontend and/or backend engineering teams.</li><li>
You maintain absolute composure and clear, structured thinking when multiple operational issues arise simultaneously.</li><li>
You hold yourself and your team to a high technical bar, and you see very high standards on platform integrity as non-negotiable.</li><li>
You are comfortable navigating and guiding engineering roadmaps in a growth environment.</li><li>
You bring hands-on experience or deep technical comfort with TypeScript, PHP, Snowflake, AWS, and GitLab CI/CD.</li><li>
You have experience implementing and utilizing code quality tools such as SonarQube and Cypress, and documenting decisions through ADRs.</li></ul><ul><li>
Ideally you have domain expertise in AdTech / MarTech and high-complexity SaaS products</li><li>
You feel comfortable working in a remote-first environment</li></ul><h2 class="jobSectionHeader">
Interview Process</h2><ul><li>
Talent Acquisition Screening</li><li>
Hiring Manager Interview with Maik</li><li>
Technical &amp; Peer Alignment with Sascha</li><li>
Executive &amp; Culture Fit with Lea and Lara</li></ul></div>

Head of Engineering - Business Continuity

NVIDIA

<div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking an engineering leader to drive the next evolution of employee digital interaction across EMEA. As the leader of End User Support Engineering at EMEA IT, NVIDIA, you will sit at the intersection of IT infrastructure, Support, agentic AI, and engineering excellence &mdash; owning the full lifecycle of how employees across the region experience technology. This is not a traditional IT support leadership role. You will build and lead a team of engineers who support productivity of employees in the region and globally. In addition, you will design, automate, and continuously improve the employee productivity through scalable engineering practices, AI workflows, and a deep commitment to operational reliability.
What you will be doing:<ul><li>
In this engineering leader role, you will define and carry out an engineering roadmap for EMEA end user support. The roadmap will match the global IT strategy and business priorities.</li><li>
Lead the strategy and execution for embedding agentic AI into IT support workflows &mdash; from intelligent triage and self-healing systems to fully autonomous resolution pipelines. Partner with AI/ML teams to design, deploy, and iterate on AI agents that reduce ticket volume, accelerate resolution, and proactively prevent issues before employees notice them.</li><li>
Lead with a product outlook: treat the employee technology experience as a product, with critical metrics, iteration cycles, and continuous improvement loops. Identify friction points in the employee technology journey and engineer solutions that measurably improve experience, satisfaction, and productivity.</li><li>
Build and develop a high-performing, geographically distributed engineering team across EMEA; mentor engineers and engineering managers at all levels.</li><li>
Define and own EMEA-specific objectives and key results, SLAs, and engineering KPIs for end user support; report progress to senior leadership with clarity and accountability.</li><li>
Build trusted relationships with regional business leaders, HR, Legal, and Workplace teams to align IT engineering investments to workforce needs. Represent EMEA as an engineering site leader, influencing global IT decisions with regional context and data-informed insights.</li><li>
Act as the incident response leader for EMEA, ensuring continuous site operations and health, driving global incident response and resolution, and ensuring platform reliability through proactive monitoring, automation, and incident response frameworks aligned to enterprise SLAs.</li><li>
Demonstrate excellent leadership and communication skills, with a proven history of building positive relationships with the business and enabling successful outcomes.</li></ul>
What we need to see:<ul><li>
12+ overall years of experience in IT engineering, infrastructure, or end user technology, with at least 6 years in people management or engineering leadership roles.</li><li>
Demonstrated track record of leading engineering teams at scale in complex, multi-country or multi-regional environments &mdash; EMEA experience strongly preferred.</li><li>
Hands-on background in systems/infrastructure engineering: strong prior individual contributor experience in at least one area (endpoint engineering, network, identity, cloud platforms, or automation).</li><li>
Proven experience in crafting and deploying AI-powered workflows involving AI/ML operations concepts. Skilled in creating timely instructions and agentic workflow build within an IT or engineering context.</li><li>
Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, or similar) applied to IT operations.</li><li>
Minimum of a BSc degree in Computer Science, Information Technology, Engineering, or a related technical field. Advanced degree (MSc/PhD) is preferred.</li></ul>
Ways to stand out from the crowd<ul><li>
Strong engineering approach with deep expertise in scalable platform architecture, automation, observability, reliability engineering, and modern operational practices including data-informed operations and AI-assisted service delivery.</li><li>
Demonstrated expertise in SRE and platform reliability principles</li></ul>
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fuelled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. Nvidia is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify creativity and intelligence. Make the choice to join us today.</div>

Director, IT Engineering - End User Support

<div>
 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
 
 
 We are seeking an engineering leader to drive the next evolution of employee digital interaction across EMEA. As the leader of End User Support Engineering at EMEA IT, NVIDIA, you will sit at the intersection of IT infrastructure, Support, agentic AI, and engineering excellence &mdash; owning the full lifecycle of how employees across the region experience technology. This is not a traditional IT support leadership role. You will build and lead a team of engineers who support productivity of employees in the region and globally. In addition, you will design, automate, and continuously improve the employee productivity through scalable engineering practices, AI workflows, and a deep commitment to operational reliability.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 In this engineering leader role, you will define and carry out an engineering roadmap for EMEA end user support. The roadmap will match the global IT strategy and business priorities.
 </li>
 <li>
 Lead the strategy and execution for embedding agentic AI into IT support workflows &mdash; from intelligent triage and self-healing systems to fully autonomous resolution pipelines. Partner with AI/ML teams to design, deploy, and iterate on AI agents that reduce ticket volume, accelerate resolution, and proactively prevent issues before employees notice them.
 </li>
 <li>
 Lead with a product outlook: treat the employee technology experience as a product, with critical metrics, iteration cycles, and continuous improvement loops. Identify friction points in the employee technology journey and engineer solutions that measurably improve experience, satisfaction, and productivity.
 </li>
 <li>
 Build and develop a high-performing, geographically distributed engineering team across EMEA; mentor engineers and engineering managers at all levels.
 </li>
 <li>
 Define and own EMEA-specific objectives and key results, SLAs, and engineering KPIs for end user support; report progress to senior leadership with clarity and accountability.
 </li>
 <li>
 Build trusted relationships with regional business leaders, HR, Legal, and Workplace teams to align IT engineering investments to workforce needs. Represent EMEA as an engineering site leader, influencing global IT decisions with regional context and data-informed insights.
 </li>
 <li>
 Act as the incident response leader for EMEA, ensuring continuous site operations and health, driving global incident response and resolution, and ensuring platform reliability through proactive monitoring, automation, and incident response frameworks aligned to enterprise SLAs.
 </li>
 <li>
 Demonstrate excellent leadership and communication skills, with a proven history of building positive relationships with the business and enabling successful outcomes.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 12+ overall years of experience in IT engineering, infrastructure, or end user technology, with at least 6 years in people management or engineering leadership roles.
 </li>
 <li>
 Demonstrated track record of leading engineering teams at scale in complex, multi-country or multi-regional environments &mdash; EMEA experience strongly preferred.
 </li>
 <li>
 Hands-on background in systems/infrastructure engineering: strong prior individual contributor experience in at least one area (endpoint engineering, network, identity, cloud platforms, or automation).
 </li>
 <li>
 Proven experience in crafting and deploying AI-powered workflows involving AI/ML operations concepts. Skilled in creating timely instructions and agentic workflow build within an IT or engineering context.
 </li>
 <li>
 Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, or similar) applied to IT operations.
 </li>
 <li>
 Minimum of a BSc degree in Computer Science, Information Technology, Engineering, or a related technical field. Advanced degree (MSc/PhD) is preferred.
 
 
 </li>
 </ul>
 
 Ways to stand out from the crowd
 
 
 
 <ul>
 <li>
 Strong engineering approach with deep expertise in scalable platform architecture, automation, observability, reliability engineering, and modern operational practices including data-informed operations and AI-assisted service delivery.
 </li>
 <li>
 Demonstrated expertise in SRE and platform reliability principles
 
 
 </li>
 </ul>
 NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fuelled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. Nvidia is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify creativity and intelligence. Make the choice to join us today.
 
 
 , , JR2019170
 
 
</div>

EPAM Systems

<div>We're looking for a Senior AI Architect to join our team in Germany in a hybrid working mode. In this role, you will help clients design and scale production-grade AI platforms and solutions on Microsoft Azure. You will work at the intersection of enterprise architecture, cloud-native engineering, GitHub-enabled software delivery and responsible AI adoption.
This position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will engage in areas such as Azure AI platforms, copilots, RAG, agentic systems, governance, observability, evaluation, security and Responsible AI practices.
Unlike roles centered on proofs of concept, this opportunity involves delivering enterprise-grade AI systems embedded into real workflows, including engineering productivity, knowledge retrieval, automation and AI-enabled delivery. The challenges go beyond basic API calls and span AI-native software engineering, GitHub Copilot integration, secure architectures, FinOps and governance at scale.
You will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption.
Responsibilities<ul><li>
Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows
</li><li>Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance
</li><li>Design Azure-first architectures using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL and Microsoft Fabric where applicable</li><li>
Design AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices and AI-assisted delivery patterns
</li><li>Design harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gates
</li><li>Define governance and operational frameworks for Responsible AI, security, identity, FinOps and observability
</li><li>Translate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teams
</li><li>Facilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellence
</li><li>Convert practical experience into reusable patterns, accelerators and architectural blueprints
</li><li>Mentor architects and engineers and contribute to presales and solution design initiatives
</li></ul>Requirements<ul><li>
10+ years in solution architecture, cloud platforms or platform engineering
</li><li>Strong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering
</li><li>Proficiency with Microsoft Azure and modern cloud-native architecture
</li><li>Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
</li><li>Track record of moving AI initiatives beyond PoC to enterprise-grade production environments
</li><li>Hands-on capability to validate prototypes, review code and guide engineering decisions
</li><li>Ability to explain how to make AI useful in production, not just impressive in a demo
</li><li>Capability to design platform architecture, governance models, adoption plans and AI delivery workflows
</li><li>Confidence working across enterprise realities, leveraging Azure and GitHub pragmatically
</li><li>Strong communication skills with both executives and technical stakeholders
</li></ul>Nice to have<ul><li>
Experience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced Security
</li><li>Familiarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similar
</li><li>Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integration
</li><li>Understanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOps
</li><li>Background in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD and secure API gateway practices
</li><li>Awareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms and human approval workflows
</li><li>Familiarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001
</li><li>Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sector
</li><li>Knowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API or Hugging Face</li></ul>
We offer<ul><li>
30 days holiday per annum</li><li>
Company Pension Scheme</li><li>
Regular performance assessments</li><li>
Discount on Fitness-First Black Membership</li><li>
bitkom - Corporate Benefits</li><li>
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)</li><li>
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses</li><li>
Friendly and enjoyable working team</li><li>
Regular corporate and social events</li><li>
Flexible and remote working opportunities</li><li>
Award-winning workplace: Great Place To Work&reg; certified in 2026, Kununu (Top Company 2022&ndash;2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.</li></ul></div>

Senior AI Architect - Microsoft Technologies

Integrity Next

<div><h4 class="jobSectionHeader">Join us!</h4>
At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. This platform will power semantic data access, BI, APIs, and agentic product experiences across our product landscape. 
As AI Application Engineer (m/f/d), you will build and ship AI-powered product capabilities end-to-end. You will work hands-on across Python-based AI services, agent workflows, web and document retrieval pipelines, unstructured data processing, APIs, integrations, and lightweight React prototypes where needed. 
Our AI application layer is built around LangChain, LangGraph, Deep Agents, and Amazon Bedrock AgentCore. The focus is on product delivery rather than research, covering both structured-data-driven AI experiences and unstructured-data processing for retrieval, agent workflows, and future AI-native product capabilities. 
We work according to &ldquo;You build it, you run it&rdquo;, own capabilities from design to production operations, follow spec-driven development, and actively use AI-assisted engineering tools such as Claude Code, Cursor, and similar tools.<h4 class="jobSectionHeader"> 
What can you expect?</h4>
Build agentic AI product capabilities<ul><li>
Build AI-powered product features using retrieval mechanisms, workflows, tools, and multi-step agent patterns</li><li>
Turn product and business needs into reusable, reliable AI capabilities for internal and customer-facing use cases</li><li>
Implement AI capabilities in Python using LangChain, LangGraph, Deep Agents, and Bedrock AgentCore</li><li>
Design and build AI APIs with clean service boundaries for integration into Java-based product systems</li></ul>
Work with structured, unstructured, web, and document data<ul><li>
Build and maintain retrieval and unstructured-data processing pipelines for documents, web content, and other sources used in agent workflows</li><li>
Work with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking</li><li>
Collaborate with platform and semantic teams to ground AI features in reliable, well-structured data</li><li>
Support AI experiences based on structured business data, semantic layers, and analytics-driven use cases</li></ul>
Improve AI quality, reliability, and production readiness<ul><li>
Drive prompt engineering and context engineering to improve quality, reliability, and usability</li><li>
Implement evals, regression checks, prompt-injection tests, scenario-based validation, and quality controls</li><li>
Help define evaluation harnesses, testing approaches, and validation methods for agentic and retrieval systems</li><li>
Support AI observability, tracing, quality monitoring, maintainability, and production operations</li></ul>
Contribute across product and engineering layers<ul><li>
Contribute to lightweight frontend prototypes and conversational or workflow-driven UI flows in React where needed</li><li>
Work closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Help establish practical spec-driven and AI-assisted engineering workflows that improve quality, speed, and maintainability</li></ul><h4 class="jobSectionHeader">
What should you bring along?</h4>
Experience &amp; Domain Focus<ul><li>
Strong practical experience with Python and proven experience building AI-powered product features in production or near-production environments</li><li>
Experience with LLM application development, including agentic RAG, tool use, workflow orchestration, prompt engineering, and context design</li><li>
Strong knowledge of agentic AI concepts such as agent workflows, planning patterns, tool usage, multi-step reasoning architectures, and agent harnesses</li><li>
Experience building multi-step agents or pipelines that retrieve, read, and reason over information from web and document sources with a focus on grounding, attribution, and reliability</li><li>
Experience building or maintaining unstructured-data pipelines for AI applications, including document and web-page processing, text extraction, retrieval, and AI-oriented data preparation</li><li>
Experience designing backend APIs and integrating AI capabilities into larger product landscapes through clear service boundaries</li></ul>
Technical / Methodological Skills<ul><li>
Hands-on experience with LangChain and/or LangGraph</li><li>
Familiarity with Deep Agents or similar multi-step or planning-oriented agent harnesses is a strong plus</li><li>
Knowledge of Amazon Bedrock AgentCore and strong overall AWS knowledge, including OpenSearch, S3, and DynamoDB</li><li>
Experience with web search APIs such as SERP API, Linkup, or Tavily, and crawling or extraction frameworks such as Firecrawl or Crawl4AI</li><li>
Experience with headless or JS-rendering fetching using tools such as Playwright or Puppeteer</li><li>
Comfortable with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking across varied, multilingual, and often unreliable web sources</li><li>
Experience with MCPs, A2A, AgentCore Gateway, Agent Skills, Agent plugins, and testing these components</li><li>
Experience with evaluation harnesses, regression testing, prompt-injection testing, and quality controls for AI and retrieval systems</li><li>
Experience with observability, tracing, or monitoring for AI or backend systems</li><li>
Ability to contribute to lightweight frontend or prototype work in React when needed</li></ul>
Ways of Working &amp; Mindset<ul><li>
Strong product delivery mindset with a focus on building and shipping AI-powered capabilities end-to-end</li><li>
Comfortable owning AI-powered features in production, not just prototyping them</li><li>
Strong quality mindset and the ability to improve AI systems through testing, evaluation, iteration, and harness-based validation</li><li>
Comfortable working with structured specifications, clear interfaces, spec-driven development, and AI-assisted engineering workflows</li><li>
Deep specialization in AI engineering combined with the willingness to contribute across adjacent layers when needed</li><li>
Practical, hands-on approach to solving complex product and platform challenges</li></ul>
Communication &amp; Collaboration<ul><li>
Comfortable collaborating closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Able to work across backend implementation, AI application development, APIs, and lightweight frontend prototyping</li><li>
Strong ability to translate product and business needs into reliable technical capabilities</li><li>
Clear communication style and willingness to share knowledge across teams</li><li>
Fluent English skills for working effectively in an English-speaking environment</li></ul>
Nice to have<ul><li>
Experience with large-scale or polite crawling, deduplication, and source or provenance tracking</li><li>
Experience with entity resolution and attribution across heterogeneous web sources</li><li>
Experience with multilingual document and web-content processing and retrieval</li><li>
Experience designing agentic architectures, evaluation harnesses, and quality frameworks for AI systems</li><li>
Experience with AI observability and tracing tools</li><li>
Experience with React and frontend prototyping for conversational or workflow-driven experiences</li><li>
Experience working with structured business data, semantic layers, or analytics-driven AI use cases</li><li>
Experience with advanced document pipelines, retrieval systems, and unstructured-data-based AI features</li><li>
Experience in multi-team SaaS environments</li></ul><h4 class="jobSectionHeader">
What do we offer?</h4><h3 class="jobSectionHeader">
Purpose &amp; Impact</h3><ul><li><div>
A role with real meaning that is both enjoyable and impactful</div></li><li><div>
The opportunity to make a sustainable contribution through your work</div></li><li><div>
Attractive compensation as part of a growing company</div></li></ul><h3 class="jobSectionHeader">
Attractive Benefits</h3><ul><li><div>
30 days of paid vacation</div></li><li><div>
EGYM Wellpass membership to support your work-life balance</div></li><li><div>
Flexible working models to better balance work and personal life</div></li></ul><h3 class="jobSectionHeader">
Modern Work Environment &amp; Flexibility</h3><ul><li><div>
Inspiring office spaces in the heart of Munich</div></li><li><div>
Flexible remote work from home or anywhere within Germany</div></li></ul><h3 class="jobSectionHeader">
Great Team</h3><ul><li><div>
A professional, welcoming, and highly motivated team</div></li><li><div>
Collaboration at eye level with an open feedback culture</div></li><li><div>
An environment where people support each other and grow together</div></li></ul><h3 class="jobSectionHeader">
Flat Hierarchies &amp; Ownership</h3><ul><li><div>
Short decision-making paths and real opportunities to shape things</div></li><li><div>
Freedom to contribute and implement your own ideas</div></li><li><div>
A high level of ownership and responsibility</div></li></ul><h4 class="jobSectionHeader"> 
Application process</h4>
Please apply exclusively via our online application portal. This ensures a smooth and fair process for all candidates. Applications submitted by email or LinkedIn will not be considered. Thank you for your understanding.<h4 class="jobSectionHeader">
About us</h4>
IntegrityNext, a global leader in supply chain sustainability software, stands at the forefront of corporate sustainability and compliance. Since 2016, businesses have trusted IntegrityNext to simplify ESG compliance, reduce risks, and address critical challenges like due diligence, decarbonization, and sustainability reporting. With over 500 customers and 2 million suppliers across 190 countries, IntegrityNext is transforming supply chains into engines of transparency and sustainable growth. For more information, visit www.integritynext.com. 
 
We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We welcome applicants from all backgrounds and strive to create an environment where everyone feels respected and heard. Join us in our mission to build a more equitable and inclusive world.</div>

Full Stack AI Engineer (m/f/d)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h2 class="jobSectionHeader">About the Role
</h2>Technical depth required. Architectural judgment expected.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>Your fluent in German and English
</li><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You're excited to travel ~25% of the time, embedded with customer engineers.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We warmly invite applications from individuals with a severe disability status (Schwerbehinderung). Salesforce is committed to equality and creating a workplace that reflects society. We set ambitious goals for representation, emphasize accessibility and inclusion, and continuously learn and improve. Learn more about our inclusion initiatives here (https://www.salesforce.com/company/accessibility/workplace-resources/#ally-sf-benefits). In 2019, Salesforce joined The Valuable 500 to champion disability inclusion in business leadership.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Senior Forward Deployed Engineer (Technical Builder)

AutoScout24

<div><div><div><div><div><div><div><div><div>A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We're not just leading the market; we're creating it. We're constantly innovating, evolving and transforming things for our customers. We're driven, ambitious and determined to do our best work, together. For a career that doesn't stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.

As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.

You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.

What you'll do
<ul>
<li>Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement</li>
</ul><ul><li>Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability</li>
</ul><ul><li>Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes</li>
</ul><ul><li>Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints</li>
</ul><ul><li>Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems</li>
</ul>
What you'll need
<ul>
<li>Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field</li>
</ul><ul><li>5+ years of experience building and owning production ML systems end-to-end in a real-world environment</li>
</ul><ul><li>Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production</li>
</ul><ul><li>Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale</li>
</ul><ul><li>Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations</li>
</ul><ul><li>Ability to influence technical decisions through clear judgment and collaboration, not formal authority</li>
</ul><ul><li>Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback</li>
</ul><ul><li>Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery</li>
</ul>
WHY Autoscout24

A culture of growth. With over 50 nationalities represented, we're proud to welcome people of all backgrounds to our growing community, and we're always finding new ways to help people feel welcomed and included. Here, you'll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.

For a career where you can drive our business and shape your future, apply now.</div></div></div></div></div></div></div></div></div>

Senior Data Scientist (m/f/d)

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