solution architect

<div><div>Ready to shape the future of aviation through enterprise architecture? 
As a Senior Solution Domain Architect &ndash; Aviation, you will play a key role in designing and governing complex IT landscapes that support business-critical operations. You'll work at the intersection of business and technology, helping organizations modernize their application landscape, strengthen integration capabilities, and accelerate digital transformation. 
 
This is an opportunity to influence strategic technology decisions, collaborate with experienced architects and engineering teams, and deliver innovative, scalable solutions that make a real business impact. 
 
As a Senior Solution Domain Architect, you are responsible for defining, governing and evolving solution architecture within complex enterprise environments. You translate business capabilities into scalable application, integration and technology architectures while ensuring alignment with enterprise standards and long-term business objectives. 
Working closely with Enterprise Architects, Product Owners, Business Analysts, software engineers and business stakeholders, you guide solution design, develop architectural roadmaps and support organizations in modernizing their technology landscape. You thrive in environments where collaboration, influence and architectural leadership are essential to success. 
 
Your role in our team 
As a Senior Solution Domain Architect you will: 
<ul><li>Define and maintain solution architecture for complex business domains.</li></ul>
Internal 
<ul><li>Translate business capabilities into application, integration and technology architectures.</li><li>Design target architectures and transition roadmaps to support long-term business strategy.</li><li>Drive architectural governance and ensure alignment with enterprise architecture principles.</li><li>Guide solution design across multidisciplinary delivery teams.</li><li>Develop and maintain application landscape models, integration architectures and API strategies.</li><li>Support legacy modernization and cloud transformation initiatives.</li><li>Coach architects, business analysts and engineering teams in architectural best practices.</li><li>Collaborate with business stakeholders to balance strategic objectives, technical constraints and implementation priorities.</li><li>Contribute to CGI's Architecture Community by sharing knowledge and driving continuous improvement.</li></ul> 

How you strengthen our team 
You are an experienced architect who enjoys solving complex business and technology challenges. You understand how to connect enterprise strategy with practical implementation and know how to create alignment across multiple stakeholder groups. 
 
You bring: 
<ul><li>Extensive experience as a Solution Architect, Domain Architect or Enterprise Architect.</li><li>Strong knowledge of ArchiMate and enterprise architecture practices.</li><li>Experience with capability-based architecture and business capability modelling.</li><li>Experience designing enterprise application landscapes.</li><li>Strong knowledge of API, application and integration architecture.</li><li>Experience developing architectural roadmaps and transition architectures.</li><li>Experience with architecture governance within large enterprise environments.</li><li>Experience supporting legacy modernization and cloud transformation.</li></ul>
Internal 
<ul><li>Strong stakeholder management and communication skills.</li><li>Experience mentoring architects, analysts and technical teams.</li></ul>
Experience within the aviation industry is considered a strong advantage. 
 
This is you 
<ul><li>You lead through collaboration and influence.</li><li>You enjoy working in complex enterprise environments.</li><li>You are analytical, pragmatic and solution-oriented.</li><li>You easily bridge the gap between business and technology.</li><li>You build consensus across multidisciplinary teams.</li><li>You have a coaching mindset and enjoy mentoring others.</li><li>You communicate confidently with both technical and business stakeholders.</li><li>You take ownership and continuously look for opportunities to improve architecture and ways of working.</li></ul> 

Where you will be working 
You will become part of CGI Aviation and work closely with our clients. 
Working in multidisciplinary Agile teams, you'll help clients modernize enterprise application landscapes, improve business capabilities and implement future-ready technology solutions. You'll have the opportunity to work alongside experienced professionals, share knowledge across our global network and contribute to projects that have a tangible impact on critical business operations. 
At CGI, ownership, entrepreneurship and continuous learning are part of our culture. You'll have the freedom to shape architectural direction while further developing your own expertise. 
 
AI &amp; Futureproof 
Artificial Intelligence is changing the way organizations design, operate and optimize technology landscapes. At CGI, we help clients responsibly adopt AI to create smarter business processes, improve decision-making and accelerate digital transformation. 
 
As a Senior Solution Domain Architect, you'll help organizations build secure, scalable and future-proof architectures that effectively integrate AI, automation, cloud technologies and data-driven solutions into their enterprise ecosystem. 
 
Why CGI 
CGI is one of the world's largest independent IT and business consulting services firms. Together, we help organizations solve complex business challenges through technology while delivering meaningful outcomes for society. 
 
Our professionals work on innovative projects across sectors including government, financial services, aerospace, transportation, manufacturing and energy. By combining local expertise with global capabilities, we create solutions that make a lasting impact. 
At CGI, ownership is at the heart of everything we do. You'll work in empowered teams where your ideas matter, your expertise is valued and your professional development is actively supported. 
 
We offer: 
<ul><li>A permanent employment contract from day one.</li><li>A competitive salary aligned with your experience and seniority.</li><li>8% holiday allowance.</li><li>Annual bonus and profit-sharing scheme.</li><li>20 statutory and 5 additional vacation days (based on full-time employment).</li><li>Lease car or mobility budget.</li><li>NS Business Card.</li><li>Bicycle plan.</li><li>CGI Share Purchase Plan.</li><li>Monthly healthcare contribution.</li><li>Monthly home office allowance.</li></ul>
Internal 
<ul><li>Excellent pension scheme.</li><li>Hybrid working.</li></ul> 

Join our team of experts and apply today!
 
We look forward to hearing from you. 
If you have any questions regarding the role, please contact Director Consulting Services, Ramon Bouter, via via ramon.bouter@cgi.com or +31 6 83257675 
Questions about the recruitment process? Please contact Recruitment Business Partner, Ferhun Dogan, via ferhun.dogan@cgi.com of +31 6 11484743 
 
We do not work with external recruitment agencies. Acquisition is therefore not appreciated. 
 
#LI-FD6</div>
Taken en verantwoordelijkheden
Criteria
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
In 1976 opgericht als een familiebedrijf, is CGI vandaag de dag een van de grootste onafhankelijke zakelijke en ICT-dienstverleners ter wereld. Bij ons draait het om ownership, teamwork en respect. Je krijgt de ruimte om al je talenten volledig te ontplooien. 
 
Vanaf je eerste werkdag ben je mede-eigenaar van CGI. We profiteren samen van ons succes en je krijgt de kans &eacute;n verantwoordelijkheid om actief bij te dragen aan de koers en strategie van ons bedrijf. 
 
Jouw inzet voegt waarde toe. Je werkt aan innovatieve oplossingen en bouwt aan je netwerk van collega's en klanten. Je hebt toegang tot wereldwijde kansen om je idee&euml;n te realiseren, mogelijkheden te benutten en te profiteren van onze kennis van de industrie en technologische expertise. 
 
Ontdek bij ons de mogelijkheden voor jouw persoonlijke ontwikkeling en zet de volgende stap in je carri&egrave;re. Hier staat jouw succes centraal!</div>

Senior Solution Domain Architect – Aviation

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

Zscaler

<div><div>About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate&mdash;we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.</div><div>

Role

We are looking for a Product Specialist (DSPM and Securing Data from AI) to join our team. This is a Remote role, reporting to the Sr. Director WW Field PM for DSPM in the Data Security Product Organization department. As a key member of the Data Security Product Organization within the DSPM Field PM team, you will drive the technical and commercial success of our DSPM and AISPM solutions across the EMEA region. You will act as a critical bridge between our customers and the product organization, ensuring our platform evolves to meet real-world security challenges while empowering our field teams to win.

What you'll do (Role Expectations)
<ul>
<li>Drive the sales strategy and execution for the DSPM product suite specifically for our EMEA customer base
</li>
<li>Lead and manage the end-to-end Proof of Concept (PoC) process for DSPM opportunities to demonstrate technical superiority and business value
</li>
<li>Serve as the primary technical resource for deploying DSPM solutions during the PoC phase to ensure seamless integration and performance
</li>
<li>Act as the definitive voice of the customer, synthesizing field feedback to directly influence and improve the DSPM platform roadmap
</li>
<li>Enable and educate the broader Zscaler field team to effectively position and sell DSPM solutions within their accounts
</li>
</ul>Who You Are (Success Profile)
<ul>
<li>You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
</li>
<li>You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
</li>
<li>You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
</li>
<li>You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback&mdash;knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
</li>
<li>You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
</li>
</ul>What We're Looking for (Minimum Qualifications)
<ul>
<li>Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
</li>
<li>Deep expertise in infrastructure deployment within at least one major public cloud environment, specifically AWS, Azure, or GCP
</li>
<li>Proven professional experience in a technical, customer-facing role such as a Sales Engineer, Solution Architect, or Product Manager
</li>
<li>Subject matter expertise in Data Security Posture Management (DSPM), Data Security, or cloud security projects like CNAPP
</li>
<li>Demonstrated ability to create and deliver high-impact Proof of Concept presentations that clearly communicate complex technical value to a business audience
</li>
</ul>What Will Make You Stand Out (Preferred Qualifications)
<ul>
<li>Deep technical understanding of generative AI infrastructure platforms, including AWS Bedrock, Azure AI Foundry, or Google Vertex, with the ability to articulate architectural data security risks
</li>
<li>Advanced domain expertise specifically within the DSPM landscape
</li>
<li>Familiarity with or a strong aptitude for working with Network File shares within Data Center environments
</li>
</ul>#LI-REMOTE 
#LI-MM8
</div><div>
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
<div>
<ul><li>Various health plans</li>
<li>Time off plans for vacation and sick time</li>
<li>Parental leave options</li>
<li>Retirement options</li>
<li>Education reimbursement</li>
<li>In-office perks, and more!</li>
</ul>
<div>Learn more about Zscaler's hybrid working model and benefits here.
</div>
</div>By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</div></div>

Product Specialist (DSPM and Securing Data from AI)

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.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
As the Manager of Emerging Talent for the AI Builder Program, you will lead, mentor, and scale a high-caliber team of AI-native graduates, and bring a completely fresh approach to problem-solving.This is not a traditional engineering management role; it is a frontier-pushing leadership position designed to channel that native AI mindset into boundary-breaking, real-world customer transformations. It is a blend of people leadership, technical direction, consulting mentorship, and program development - with an exciting focus on pioneering AI approaches to delivering extraordinary outcomes.
We are looking for a strong people leader with reasonable technical fluency to guide and develop a team of new computer science graduates. In this role, you will focus on people leadership and business mentorship, helping your team navigate their early careers while ensuring operational excellence. You will confidently engage with customers across a diverse cross-section of accounts (from Mid-Market through Enterprise Strategic) and serve as a strategic partner
Your primary mission is to translate their unique, intuitive relationship with AI into enterprise-grade success and translate academic computer science excellence into real-world, customer-facing success. You will help your team navigate the frontier of generative AI and Agentforce, architect agent reasoning, and confidently engage with customers to drive business transformations. Additionally, you will play an active role in driving the architecture and execution of our Grad Builder Program , overseeing projects, managing development plans, and delivering advanced technical and consultative training.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><h3 class="jobSectionHeader">1. People Leadership &amp; Talent Development (40%)
</h3><ul><li>Channel AI-Native Superpowers: Champion and harness the unique, fast-paced 'group chat' collaboration styles and intuitive AI habits of recent graduates, turning their fresh perspectives into a competitive advantage for our delivery teams.
</li><li>Manage &amp; Mentor: Act as the direct people manager for a cohort of Emerging Talent AI Builders. Deliver regular 1:1s, performance reviews, career development planning, and compensation management.
</li><li>Bridge the Gap: Help AI natives pivot from 'building experimental side projects' to deploying production-grade, secure, and ethical enterprise software, showing them how to scale their boundary-pushing ideas responsibly.
</li><li>Consulting Coaching: Teach technical grads how to &quot;translate tech into business value.&quot; Coach them on active listening, stakeholder management, discovery sessions, presentation skills, and handling pushback from customers.
</li><li>Cultivating Belonging and Long-term Engagement: Establish a vibrant, inclusive atmosphere. Provide guidance through the specific challenges of early-career excellence, including managing rapid advancement paths, addressing imposter syndrome, and meeting the distinct professional needs of high-potential recent graduates.
</li></ul><h3 class="jobSectionHeader">2. Technical Leadership &amp; Project Governance (30%)
</h3><ul><li>Agentforce Guardrails: Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls. Ensure they are evaluating AI outputs with strict engineering rigor rather than trial-and-error.
</li><li>Technical Coaching: Support Graduates in building scalable and secure agentic solutions. Act as an internal technical sounding partner when a Graduate encounters roadblocks, ensuring they are equipped to succeed.
</li></ul><h3 class="jobSectionHeader">3. Graduate Builder Program Enablement &amp; Strategy (30%)
</h3><ul><li>Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated. You will use insights gained from your cohort's rapid experimentation to feed back into the broader organization's upskilling initiatives.
</li><li>Project Matching &amp; Bench Management: Oversee the pipeline of customer work, strategically pairing Grads with projects that stretch their technical capabilities while balancing business needs.
</li><li>Development Milestones: Build, track, and optimize a 12-to-24-month competency matrix detailing when a Grad is expected to master specific technical tracks (e.g., Real-Time Infra) and consulting pillars.
</li><li>University Recruiting Partner: Collaborate with the University Recruiting team to interview, assess, and attract top-tier Computer Science talent from target universities.
</li></ul><h2 class="jobSectionHeader">The Ideal Profile
</h2><h3 class="jobSectionHeader">You can speak their language...
</h3>You have a deep background in computer science or software engineering. You understand object-oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
<h3 class="jobSectionHeader">...and you can teach them yours.
</h3>You are a seasoned consultant or customer-facing tech lead. You know how to read a room, handle a tough customer question during a live deployment, and unpack complex business requirements into technical user stories. You view communication, empathy, and business acumen as core engineering skills. Crucially, you are energized by working with early-career talent who naturally think AI-first. You know how to guide their ambition to push boundaries, helping them refine raw creativity into high-impact business strategy.
<h2 class="jobSectionHeader">Qualifications &amp; Requirements
</h2><h3 class="jobSectionHeader">Minimum Qualifications:
</h3><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a highly technical discipline.
</li><li>Experience: 5+ years of experience in technical consulting, solution architecture, software engineering, or a highly technical customer-facing role.
</li><li>Leadership: 1+ years of experience managing technical teams, acting as a tech lead, or significantly mentoring early-career engineers/consultants.
</li><li>Technical Fluency: Proficient in at least one classic powerhouse language (Python, JavaScript/TypeScript, Java) and a solid understanding of modern web architectures (React, REST APIs, GraphQL). A passion for high quality code and best practices (OOP, SOLID, Git, etc.)
</li><li>AI/LLM Curiosity: Practical, hands-on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><ul><li>Prior experience managing university graduate programs, technical rotation programs, or tech boot camps.
</li><li>Direct experience with the Salesforce ecosystem, Apex, or building on Agentforce .
</li><li>Background in Enterprise Agile delivery and technical scoping.
</li></ul><h2 class="jobSectionHeader">Why This Role is Unique
</h2>Unlike traditional engineering managers who operate strictly behind the scenes, or traditional consulting managers focused purely on utilization metrics, you are at the epicenter of a workforce revolution. You are not just teaching a syllabus, you are leading a generation of AI natives who will fundamentally rewrite how businesses operate. In this role, you have a blank canvas to push boundaries, experiment with leading-edge agentic technology, and serve as the premier showcase for Salesforce's company-wide upskilling strategy. If you want to change the trajectory of early-career professionals while actively redefining the future of work itself, this is your platform.
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.
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>

AI Builder, Manager

Mollie B.V.

<div>Lead Solution Engineer - Mollie Connect 
 
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow &ndash; with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your Impact
You will lead our Solutions Engineering team for Mollie Connect, a team of six, spread across three offices, that bridges Product and our most demanding users: platforms that embed and monetise payments and financial services through Mollie.
Your team operates at the intersection of technology, product, and commercial strategy. You translate complex business requirements into technical solutions and vice versa, from the first pre-sales conversation through implementation and beyond. Your counterparts are CTOs, solution architects, and engineering teams at Europe's most ambitious software platforms, marketplaces, and enterprise organisations.
This is a player-coach role. You'll lead and develop the team while staying deeply hands-on with our most complex and strategic engagements. You'll shape how we sell, how we implement, and how we feed learnings back into the Connect product roadmap.
What you'll ship
Lead &amp; develop the team<ul><li>
Mentor and grow a team of six Solutions Engineers. Own hiring, performance management, and career development in partnership with our HR Business Partner.</li><li>
Define the team's way of working and set OKRs that align with Mollie Connect's strategic priorities.</li><li>
Align closely with Partner Management team leads to ensure seamless collaboration across commercial and technical workstreams.</li></ul>
Pre-sales &amp; consultative selling<ul><li>
Lead upmarket pre-sales / upsell engagements alongside partner acquisition and partner growth managers, acting as a trusted technical advisor to prospects and designing solutions that unlock value.</li><li>
Develop and refine the team's consultative selling approach as we move toward larger, more complex platform partners.</li></ul>
Implementation consulting &amp; technical delivery<ul><li>
Stay hands-on with the most complex integrations, particularly multi-entity setups with unique compliance, regulatory, or architectural challenges.</li><li>
Guide the team in supporting partners from integration design through technical validation and go-live, keeping all stakeholders aligned throughout.</li></ul>
Product &amp; strategic influence<ul><li>
Represent the voice of platform partners in product discussions and contribute to shaping the Mollie Connect roadmap as part of the domain leadership team.</li><li>
Collaborate with Engineering Managers, Partner Marketing, and Product Marketing to ensure our solutions and enablement materials reflect real-world partner needs.</li></ul>
What you'll bring<ul><li>
7+ years of experience in Solutions Engineering, Technical Consulting, Sales Engineering, or a comparable role in the software/SaaS industry.</li><li>
At least 2 years of experience leading a team, whether as a formal team lead or in a senior player-coach capacity. You know how to develop people, set direction, and create the conditions for a team to do their best work.</li><li>
Strong technical acumen. You're comfortable reading and discussing APIs, integration architectures, and technical documentation. You can hold your own in conversations with engineers, architects, and CTOs.</li><li>
Hands-on experience with APIs, webhooks, and modern integration patterns. You understand how platforms are built and how payments fit into broader technology ecosystems.</li><li>
Proven ability in consultative, technical pre-sales. You know how to discover needs, design solutions, and articulate value to both technical and commercial stakeholders.</li><li>
Experience working with complex, multi-stakeholder environments: SaaS platforms, marketplaces, or enterprise organisations with layered decision-making.</li><li>
Comfort with ambiguity and ownership. You thrive in environments where you need to define the path, not just follow it.</li><li>
Fluent in English.</li></ul>
Good to have<ul><li>
Experience in the payments, fintech, or financial services industry.</li><li>
Understanding of compliance and regulatory challenges in multi-entity or cross-border payment setups (e.g., PSD2, KYC/KYB, marketplace fund flows).</li><li>
Proficiency in one or more coding languages. Enough to prototype, troubleshoot, or review integration code.</li></ul>
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
Want a peek behind the scenes? Check out what life at Mollie is really like.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.</div><div></div>

Lead Solution Engineer

kaiko.ai

<div>
 
 About Kaiko.ai
 
 
 
 Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics.
 
 
 Healthcare decisions are rarely made by a single person or from a single data source. kaiko's assistant maintains longitudinal patient context across encounters, clinicians, and institutions, enabling collaboration, second opinions, and complex diagnostic workflows. The system is designed to operate safely in real clinical environments, with human oversight, auditability, and regulatory alignment at its core.
 
 
 Our assistant core supports broadly applicable clinical tasks such as patient data navigation, guideline interaction, multimodal interaction (chat and voice), and care coordination. On top of this foundation, we are developing specialized diagnostic agents in areas such as oncology, radiology, and pathology.
 
 
 We build in close collaboration with leading hospitals and research centers, including the Netherlands Cancer Institute (NKI). kaiko is a well-funded company with a growing international team, operating from Zurich and Amsterdam.
 
 
 
 About The Role
 
 
 
 As an ML Platform Engineer, you'll help architect, scale, and evolve the infrastructure that powers kaiko's foundation-model training and serving across the full ML lifecycle: from compute orchestration that runs large-scale training jobs, through experiment tracking and model registry, to GPU-backed serving in production.
 
 
 The Data &amp; AI Platform team owns the foundation underneath kaiko's training and serving workloads: the orchestration and distributed compute layer (Dagster + Ray on Kubernetes), the storage layer (Hammerspace), and the observability that keeps them reliable. We support both research, with large-scale training workloads on open-weight MoE models in the hundreds-of-billions to trillion-parameter range, and product, with the engineering teams building kaiko's clinical applications.
 
 
 Today, our platform is built around large-scale training. The next frontier is closing the loop: building the model lifecycle layer (experiment tracking, registry, versioning, and GPU-backed serving) that lets our trained models move reliably into product. You'll be part of the team that gets us there.
 
 
 You'll work closely with both research and product engineering to understand what the platform needs to deliver, and own the engineering of how. You'll contribute to the platform's evolution across both training and serving dimensions, helping translate team needs into reliable, scalable infrastructure.
 
 
 You will be based in either The Netherlands or Switzerland, with the expectation of spending at least 50% of your time at the office.
 
 
 
 Some areas of responsibility
 
 
 
 <ul>
 <li>
 Build and evolve the infrastructure that makes ML development fast, reliable, and observable: from IaC to CI/CD to Kubernetes-based workload orchestration.
 </li>
 <li>
 Contribute to the compute orchestration layer: help scale GPU workloads across heterogeneous on-prem and cloud clusters using Kubernetes, Ray, and advanced GPU scheduling technologies such as KAI-Scheduler.
 </li>
 <li>
 Support hybrid and multi-cloud strategies that balance performance, compliance, and cost, including the Hammerspace storage rollout.
 </li>
 <li>
 Own and evolve parts of the AI Factory: the Dagster-based orchestrator and its Ray integration that training jobs depend on.
 </li>
 <li>
 Build and maintain the model lifecycle layer: experiment tracking, model registry, versioning, and GPU-backed serving infrastructure, so models trained on our clusters move reliably into production.
 </li>
 <li>
 Partner with both research and product engineering to understand platform requirements and translate them into shared infrastructure that works across use cases.
 </li>
 <li>
 Bring engineering rigour to a fast-moving stack: lineage, reproducibility, ownership boundaries, and documentation that lets the team move quickly without losing track.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2-5 years of experience in production ML platform engineering or ML Ops role.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Terraform, Docker, and CI/CD tooling (ArgoCD, GitHub Actions, or comparable). Comfortable with modern observability stacks (Grafana, Prometheus, Loki, or similar).
 </li>
 <li>
 Compute orchestration at scale. Production experience scheduling GPU workloads on Kubernetes, Ray, or comparable, or strong motivation to grow into this quickly.
 </li>
 <li>
 ML infrastructure exposure. Hands-on experience with Linux and NVIDIA GPU environments, including multi-node training stacks and the networking that connects them (InfiniBand or comparable). You have a feel for how researchers and engineers use the platform, not just how it's built.
 </li>
 <li>
 Familiarity with the full ML workflow: training runs, experiment tracking, model registry and versioning (MLflow or equivalent), and model serving. You understand how models move from training to production.
 </li>
 <li>
 Solid software engineering. Python as a baseline; openness to picking up Go or other programming languages where the platform demands it.
 </li>
 <li>
 Collaborative by default. You work across team boundaries (research, product, data engineering) and design interfaces that serve multiple stakeholders without requiring everyone to understand the underlying plumbing.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Direct experience supporting large-scale foundation-model training or inference, with a working sense of how a run behaves from the platform's perspective: MFU, GPU utilisation, communication overhead, and dataloader stalls on the training side; serving frameworks (vLLM, Triton, TorchServe), KV cache management, and batching strategies on the inference side.
 </li>
 <li>
 Familiarity with lower-level GPU communication and I/O concepts: RDMA, GPUDirect Storage (GDS), GPUDirect RDMA, NCCL, and how these affect training throughput and cluster design.
 </li>
 <li>
 Experience with Kubernetes-native scheduling stacks for accelerator-heavy workloads, such as Volcano, KAI Scheduler, YuniKorn, or similar, so scheduler tradeoffs are understood rather than defaulted to.
 </li>
 <li>
 High performance (parallel) filesystems that feed GPU's with high throughput and low latency (Hammerspace, CEPH, WEKA, VAST).
 </li>
 <li>
 On-prem and hybrid GPU environments, especially in regulated settings (healthcare, finance, public sector).
 </li>
 <li>
 Exposure to MoE architectures or large-scale distributed training, useful for anticipating what future workloads will demand of the platform.
 
 
 </li>
 </ul>
 We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you&rsquo;re excited about us but don&rsquo;t fit every single qualification, we still encourage you to apply: we&rsquo;ve had incredible team members join us who didn&rsquo;t check every box!
 
 
 
 Why kaiko
 
 
 
 At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We&rsquo;ve built a team of international experts where your work has direct impact. Here&rsquo;s what we value:
 
 
 <ul>
 <li>
 Ownership: You&rsquo;ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.
 </li>
 <li>
 Collaboration: You&rsquo;ll have to approach disagreement with curiosity, build on common ground and create solutions together.
 </li>
 <li>
 Ambition: You&rsquo;ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.
 
 
 </li>
 </ul>
 
 
 
 In addition, we offer:
 
 
 
 <ul>
 <li>
 An attractive and competitive salary, a good pension plan and 25 vacation days per year.
 </li>
 <li>
 Great offsites and team events to strengthen the team and celebrate successes together.
 </li>
 <li>
 A EUR 1000 learning and development budget to help you grow.
 </li>
 <li>
 Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.
 </li>
 <li>
 An annual commuting subsidy.
 
 
 </li>
 </ul>
 
 Our interview process
 
 
 
 Our interview process is designed to assess mutual fit across skills, motivation, and values. It typically includes the following steps:
 
 
 <ul>
 <li>
 Screening call: A short conversation to align on your motivation, career goals, and initial fit for the role.
 </li>
 <li>
 Coding assessment &amp; debrief: You'll complete a time-limited coding exercise, started at a time of your choosing. Afterwards, you'll join a live session with members of our team to walk through your solution, explain your reasoning, and discuss any trade-offs you made.
 </li>
 <li>
 Technical interview: A deep dive into your problem-solving approach through a technical challenge, case study, or role-specific scenario.
 </li>
 <li>
 Onsite meeting (optional): You&rsquo;ll meet team members across functions to explore collaboration dynamics, team fit, and day-to-day context.
 </li>
 <li>
 Final executive conversation: A discussion with a member of the executive team focused on long-term alignment, cultural fit, and shared expectations for impact.
 </li>
 </ul>
</div>

ML Platform Engineer

Varrlyn

<div>Company Description 
Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.
Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: You do the deal, we&rsquo;ll do the project. 
Job Description 
Build the future of AI-driven banking
Our client's Agentic AI Centre of Excellence is building the next generation of AI-powered products and engineering capabilities. We are looking for engineers who don't just implement AI solutions&mdash;they shape how they are designed, validated, and scaled across one of Europe's largest banks.
You are someone who naturally experiments, challenges assumptions, and turns ideas into working software. You don't wait for perfect requirements. You reduce uncertainty by building, testing, measuring and iterating.
What you'll do<ul><li>
Design and build production-grade Agentic AI applications.</li><li>
Architect AI systems using modern orchestration frameworks such as LangGraph or similar.</li><li>
Design reusable AI platform capabilities that can be adopted by multiple engineering teams.</li><li>
Build scalable cloud-native services using modern software engineering principles.</li><li>
Evaluate AI systems using quantitative metrics and continuously improve their performance.</li><li>
Translate prototypes into secure, reliable enterprise solutions.</li><li>
Challenge existing ways of working and help shape engineering best practices across the organization.</li></ul> 

Qualifications 
Must-have requirements:<ul><li>
5+ years of hands-on software engineering experience with a strong foundation in backend or full-stack development.</li><li>
Proven experience building production-grade Agentic AI or LLM applications, not just prototypes.</li><li>
Deep understanding of AI architecture, including orchestration, design trade-offs, and scalable AI system design.</li><li>
Hands-on experience with LangGraph, LangChain or similar agent frameworks, combined with Python.</li><li>
Strong cloud and platform engineering skills, preferably Azure, Kubernetes, Docker and CI/CD.</li><li>
Experience building scalable microservices and distributed systems in an enterprise environment.</li><li>
Able to measure and optimize AI performance, using metrics, evaluation frameworks and continuous improvement.</li><li>
Strong bias toward action, with experience rapidly prototyping, validating ideas and driving change in ambiguous environments.</li><li>
Demonstrated ownership and measurable business impact, with clear examples of technical decisions that improved products or processes.</li><li>
Excellent communication skills, able to explain technical decisions, challenge existing approaches and inspire confidence through enthusiasm and curiosity.</li></ul> 

Additional Information 
Acquisition in response to this vacancy is not appreciated.</div>

Senior Full-Stack AI Engineer

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