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mid/senior solution architect - germany

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enterprise architect

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><div><br>
<h1 class="jobSectionHeader"><b>
How you'll demonstrate </b><b>Ownership</b></h1>
<div>
<p>As an Enterprise Architect at Cognite, you will play a pivotal role in the Expert Services Offerings department within our Value Delivery organisation. In this customer-facing position, you will work directly with key customers, field sales, delivery teams, and product development. You will use your seniority and technical competencies to help lead our industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs. Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability. Together with the team, you will define solutions and support each integration through to a successful finish.</p>
<p>
Through our services offerings, customers can get access to technical expertise, advisory, and hands-on assistance in developing and implementing solutions on top of Cognite Data Fusion</p>
As an Enterprise Architect, you will help deliver on the objectives and outcomes sold and defined in Support Offer/Success Track contracts. You will be hands-on in Python as well as maintain good hands-on expertise with software development best practices including:
<ul><li>End-to-end architecture and solution design leadership</li>
<li>Providing strategic and technical expertise to support customers and the customer-facing project teams</li>
<li>Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions</li>
<li>Expressing complex technical solutions through architecture modeling tools</li>
<li>Ensure operational responsibility and support agreements for the delivered solutions</li>
<li>Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite's products and services</li>
<li>Training internal teams and partners in your area of specialization</li>
<li>Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings</li>
<li>Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS &amp; Google</li>
<li>Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings</li>
<li>Develop and maintain technical and business expertise for Cognite's products</li>
</ul></div></div><div><h1 class="jobSectionHeader"><b>The </b><b>Impact</b><b> you bring to Cognite</b></h1>
</div><div><div><ul><li><b>Customer Success &amp; Long-Term Adoption:</b> You build strong relationships with C-level executives and key stakeholders that drive long-term adoption of Cognite's products and services, directly contributing to customer retention and expansion opportunities</li>
<li><b>Technical Leadership &amp; Solution Excellence</b>: Your end-to-end architecture and solution design leadership ensures customers receive robust, scalable, operationally sound solutions that deliver on promised objectives and outcomes within Support Offer/Success Track contracts</li>
<li><b>Strategic Translation &amp; Product Influence: </b>You translate complex customer needs into prioritized product offerings and strategic recommendations, bridging the gap between customer pain points and Cognite's product roadmap</li>
<li><b>Technical Depth &amp; Hands-On Expertise: </b>You bring hands-on Python proficiency and deep software development best practices, enabling you to independently manage complex technical work while maintaining credibility with engineering teams and customers</li>
<li><b>Organizational Excellence &amp; Ownership: </b>You are highly organized, thorough, and take ownership of tasks independently&mdash;ensuring projects move forward with precision, clear communication with all stakeholders, and accountability for delivery</li>
<li><b>Collaborative Leadership &amp; Team Development: </b>You are able to collaborate, lead, and coach internal teams and partners in your area of specialization, elevating team capability and building organizational expertise around Cognite's solutions</li>
<li><b>Global Perspective &amp; Adaptability: </b>You are open to travel, enabling you to work directly with international customers, build relationships across geographies, and maintain deep customer-facing presence in key markets</li>
</ul></div><div><b>Required Qualifications</b></div>
</div><div><ul><li>10+ years of experience working as a Software Engineer, Data Engineer, Machine Learning Engineer, or Solutions Architect, with demonstrated progression into architecture and design leadership roles</li>
<li>5+ years in a Solutions Architect, Technical Architect, or Enterprise Architect role, with proven track record designing and delivering end-to-end solutions for enterprise customers</li>
<li>Experience supporting scaling SaaS, B2B software, or technology organizations in high-growth or enterprise environments, with demonstrated comfort navigating ambiguity and evolving customer requirements</li>
<li>Strong technical background in backend software engineering with hands-on proficiency in Python and/or Java; willing and able to dive in and contribute code for advanced topics when needed</li>
<li>Proven experience defining solution architectures for complex enterprise integrations, including data ingestion pipelines, API design, microservices architecture, and cloud-native solutions</li>
<li>Demonstrated success working with enterprise customers in industrial domains such as Manufacturing, Energy, Oil &amp; Gas, Process Industries, Pharma, or Life Sciences&mdash;understanding their operational challenges, business models, and technical constraints</li>
<li>Experience with modern cloud platforms (AWS, Azure, Google Cloud), including hands-on knowledge of cloud infrastructure, container orchestration (Kubernetes/Docker), CI/CD pipelines, and DevOps practices</li>
<li>Proven ability to build and maintain strong relationships with C-level executives, IT leaders, and technical stakeholders, acting as a trusted technical advisor throughout the customer lifecycle</li>
</ul>
<p><b>Preferred Experience</b></p>
<ul>
<li>Experience from domains like Manufacturing, Energy, O&amp;G, Pharma, Life sciences is preferred</li></ul></div><div></div><div><br>
<div></div>
<div></div><div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Enterprise Architect

NVIDIA

<div><p>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 brain 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.</p><p></p><p>
At NVIDIA, we are leading the charge in AI governance and security, crafting solutions that make significant impacts on enterprise environments. As a Senior Solution Architect for AI Governance &amp; Security, you will be part of an exceptionally talented team that is at the forefront of AI innovation. Your role is pivotal in helping our customers navigate the complexities of deploying AI in regulated environments, making this opportunity truly outstanding.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Drive technical engagements with enterprise customers and partners, ensuring NVIDIA's security and governance solutions are seamlessly coordinated within their AI deployments.</p></li><li><p>
Lead discovery sessions, build solution architectures, deliver impactful demonstrations, and craft detailed technical proposals.</p></li><li><p>
Build positive relationships with engineering leads, security architects, DevSecOps teams, and compliance officers by providing clear and accurate information about NVIDIA's stack.</p></li><li><p>
Translate NVIDIA&rsquo;s platform capabilities into practical deployment requirements, addressing data residency, access control, audit logging, and regulatory needs.</p></li><li><p>
Build and implement NVIDIA-backed deployment architectures tailored to customer requirements, combining components like OpenShell, NeMo Guardrails, NIM inference, and Confidential Computing.</p></li><li><p>
Build reusable solution materials including reference architectures, integration guides, and demo environments to aid the broader EMEA field team.</p></li><li><p>
Keep informed about EU AI Act regulations and align NVIDIA platform features with compliance inquiries from regulated enterprise purchasers.</p></li><li><p>
Represent NVIDIA at technical workshops, developer days, and ecosystem events, providing deep platform insights and gathering valuable feedback for continuous improvement.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
3+ years in a customer-facing technical role such as solutions architect, pre-sales engineer, technical account management, or technical consultant.</p></li><li><p>
B.Sc. or M.Sc. in Cybersecurity, Computer Science, or a related field, or an equivalent combination of relevant professional expertise and industry-recognized certifications.</p></li><li><p>
Hands-on experience with AI and ML platform architecture, including inference pipelines, agent frameworks, and orchestration layers in real deployments.</p></li><li><p>
Applied security awareness, with the ability to read and explain vulnerability dashboards and understand sandboxing, guardrails, access control, and audit logging.</p></li><li><p>
Experience in enterprise compliance and governance conversations, having navigated concerns raised by legal or security teams and provided constructive answers.</p></li><li><p>
Strong communication skills, capable of engaging with both framework engineers and high-level executives in a variety of technical discussions.</p></li><li><p>
Proficiency in Python and familiarity with modern deployment tooling, including containers, Kubernetes, and cloud-native patterns.</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Experience with NVIDIA AI Enterprise, NIM, or NeMo Guardrails in a deployment context.</p></li><li><p>
Background in supporting procurement cycles in regulated European industries such as financial services, healthcare, or public sector.</p></li><li><p>
Familiarity with MCP, A2A, or agentic frameworks, enabling effective engagement with partner engineering teams.</p></li><li><p>
Practical knowledge of the EU AI Act, having assisted customers in managing its requirements in real AI implementations.</p></li><li><p>
Proven ability to build and deliver technical enablement content such as reference architectures, workshops, demo environments, and integration guides.</p></li></ul><p></p><p>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</p><p></p><p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</p></div><p></p>

Solution Architect - AI Governance

EPAM Systems

<div><p>We're looking for a <b>Senior AI Architect</b> 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.</p><p>
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.</p><p>
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.</p><p>
You will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption.</p><p><b>
Responsibilities</b></p><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><p><b>Requirements</b></p><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><p><b>Nice to have</b></p><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><p><b>
We offer</b></p><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

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Munich, Germany; Berlin, Germany; Frankfurt am Main, Germany; Hamburg, Germany</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>1 year of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders.</li>
<li>Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.</li>
<li>Experience in FSI.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.</li>
<li>Experience driving the entire sales cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).</li>
<li>Experience building long-term technical strategies to uncover new workloads with customers.</li>
<li>Experience migrating applications and services to cloud platforms.</li>
<li>Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
<p>
As a Platform Customer Engineer, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer&rsquo;s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans. You will engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud.<br>
<br>
You will focus on identifying, pursuing, and winning new business workloads within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more.</p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
Germany: &euro;74000 - &euro;76000 (EUR) + 42.86% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.</li>
<li>Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.</li>
<li>Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Continue to lead the technical engagement in the solution phase.</li>
<li>Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.</li>
<li>Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.</li>
</ul></div>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.</div>

Customer Engineer, Platform, Financial Services , DACH, Google Cloud

Salesforce

<div><p><i>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.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>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.
</p><p></p><p>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.
</p><p></p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p></p><p>Technical depth required. Architectural judgment expected.
</p><p>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.
</p><p></p><p><b>The Senior Builder Experience
</b></p><ul><li><p>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.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li></ul><p></p><p><b>What You'll Actually Be Building
</b></p><ul><li><p>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</p></li><li><p>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.
</p></li><li><p>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</p></li><li><p>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.
</p></li><li><p>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>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.
</p></li><li><p>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</p></li><li><p>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.
</p></li><li><p>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</p></li></ul><p></p><p><b>You're Our Senior Forward Deployed Engineer If&hellip;
</b></p><ul><li><p>Your fluent in <b>German and English
</b></p></li><li><p>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.
</p></li><li><p>You have a <b>degree in Computer Science or a related field
</b></p></li><li><p>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</p></li><li><p>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</p></li><li><p>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</p></li><li><p>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</p></li><li><p>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.
</p></li><li><p>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</p></li><li><p>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</p></li><li><p>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.
</p></li><li><p>You're excited to travel ~25% of the time, embedded with customer engineers.
</p></li></ul><p></p><p><b>Nice-to-Haves
</b></p><ul><li><p>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</p></li><li><p>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</p></li><li><p>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</p></li><li><p>Track record of influencing enterprise software product roadmaps through field engineering insight
</p></li><li><p>Open-source contributions, published technical writing, or conference presentations
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>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 <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. 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.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>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.
</p><p></p>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.
<p></p><p>Posting Statement
</p><p>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.</p></div><p></p>

Senior Forward Deployed Engineer (Technical Builder)

Multiverse Computing

<div><p><b>Multiverse Computing</b></p><div><p>
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</p></div><div><p><br>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</p></div><p></p><div><p><b>
Why join us?
</b><br>
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%.Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</p><p>
This opportunity is to work in our offices in <b>Munich, Germany.</b> We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</p><p><b>
Key requirements:</b></p><ul><li><p>
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</p></li><li><p>
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</p></li><li><p>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</p></li><li><p>
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</p></li><li><p>
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</p></li><li><p>
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</p></li><li><p>
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</p></li><li><p>
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</p></li><li><p>
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</p></li><li><p>
Must be available to travel as needed for meetings, conferences, and project requirements.</p></li><li><p>
Languages: Fluent in German &amp; English.</p></li></ul></div><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</p></li><li><p>
Experience with AI model optimization, quantization, or deployment to edge devices.</p></li><li><p>
Hands-on experience designing RAG pipelines and/or multi-agent systems..</p></li><li><p>
Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</p></li><li><p>
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act.</p></li></ul><p><b>
Perks &amp; Benefits:</b></p><div><ul><li><p>
Equal pay guaranteed.</p></li></ul></div><div><ul><li><p>
Signing bonus.</p></li></ul></div><div><div><ul><li><p>
Relocation package (if applicable).</p></li></ul></div><div><ul><li><p>
Eligibility for educational budget according to internal policy.</p></li></ul></div><div><ul><li><p>
Hybrid opportunity.</p></li></ul></div><div><ul><li><p>
Flexible working hours.</p></li></ul></div><div><ul><li><p>
Language classes and discounted lunch options</p></li></ul></div><div><ul><li><p>
Working in a high paced environment, working on cutting edge technologies.</p></li></ul></div><div><ul><li><p>
Career plan. Opportunity to learn and teach.</p></li></ul></div><div><ul><li><p>
Progressive Company. Happy people culture</p></li></ul><p><b>
Location</b></p><ul><li><p>
Applicants must have legal authorization to work in the country where the position is based.</p></li></ul></div><p></p><div><p><i>
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply</i>.</p></div></div></div>

Mid/Senior Solution Architect - Germany

Explore 47+ Enterprise architect in Munich this July. Find roles across top companies and apply now to boost your career.