platform engineer

ai builder, manager

ai engineer

ai builder manager

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

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><h3 class="jobSectionHeader">
About the Role</h3>

The AI revolution is here, and enterprises are racing to adopt GenAI - but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security.

In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<ul><li>Architect the AI Technical Strategy: Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close.</li>
<li>Deliver Compelling, High-Impact Demos &amp; POVs: Configure and present tailored, outcome-driven demonstrations of Zscaler's AI security platform that resonate with both deep-tech practitioners and C-level executives. When needed, take customers through successful demos and POVs to validate Zscaler's ability to securely enable enterprise AI.
</li><li>Serve as a Subject Matter Expert: Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage.</li>
<li>Scale the Field Motion: Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force.</li>
<li>Enable Those Around You: Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler's AI field motion while sharing best practices and training with enterprise account teams</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. You adapt to what's needed, navigating seamlessly between high-level strategy and hands-on execution.</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 customer-obsessed. You build deep empathy for the customer&mdash;both internal and external&mdash;and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.</li>
<li>You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>Deep Fluency in AI/GenAI: Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated with them.</li>
<li>10+ Years of Solutions Engineering Mastery: A proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex, enterprise-level sales cycles.</li>
<li>Enterprise Security Foundations: Solid grasp of cybersecurity principles, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.</li>
<li>Elite Executive Communication: Exceptional presentation and storytelling skills, with a demonstrated ability to seamlessly translate complex AI architectures into tangible business value and security outcomes.</li>
<li>Collaborate and Co-elevate: Successfully work cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams in a hyper-growth, rapidly evolving market.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Hands-on AI Prototyping: Interacting with LLM APIs, scripting, creating agentic automation routines, and building lightweight AI applications.</li>
<li>Advanced AI Risk Expertise: Direct experience helping enterprises deploy production AI technologies while navigating data leakage, model governance, compliance frameworks, and shadow AI usage.</li>
<li>Scale &amp; Enablement Focus: A history of creating high-impact field assets, technical workshops, and competitive positioning content that helps broader go-to-market teams win.</li>
</ul>
#LI-MM8

#LI-REMOTE<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>

Principal AI Security Specialist, BeNeLux & Nordics

CuspAI

<div>
 
 About CuspAI
 
 
 
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 
 
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 
 
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 
 
 
 We&rsquo;re on the cusp of the on-demand materials era. Join us.
 
 
 
 
 The Role
 
 
 
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 
 
 
 Your Impact
 
 
 
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 
 orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 
 ,
 
 and driving experimental campaigns
 
 to find breakthrough materials faster than ever before.
 
 
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 
 
 
 What You Will Do
 
 
 
 
 Agentic systems
 
 
 
 <ul>
 <li>
 Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
 </li>
 <li>
 Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
 </li>
 <li>
 Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
 </li>
 <li>
 Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
 </li>
 <li>
 Create evaluations to measure the effectiveness of agents
 
 
 </li>
 </ul>
 
 Experimental design
 
 
 
 <ul>
 <li>
 Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
 </li>
 <li>
 Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
 </li>
 <li>
 Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
 
 
 </li>
 </ul>
 
 Interdisciplinary Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
 </li>
 <li>
 Work on customer projects and implement the direct needs required for these projects
 
 
 </li>
 </ul>
 
 Must Have Skills and Qualifications:
 
 
 
 <ul>
 <li>
 You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
 </li>
 <li>
 Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
 </li>
 <li>
 Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
 </li>
 <li>
 If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
 </li>
 <li>
 You have a proactive builder mentality with a bias toward shipping and iteration
 </li>
 <li>
 Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
 </li>
 <li>
 Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
 
 
 </li>
 </ul>
 
 Bonus Points (But Not Critical):
 
 
 
 <ul>
 <li>
 Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
 </li>
 <li>
 Experience with agentic frameworks and building LLM-powered applications
 </li>
 <li>
 Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
 </li>
 <li>
 Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
 
 
 </li>
 </ul>
 
 Additional Considerations
 
 
 
 This role could be based in our
 
 Cambridge, London, Amsterdam or Berlin offices
 
 , with the expectation of being
 
 in the office three days per week
 
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A competitive salary: We value and reward impact and growth
 </li>
 <li>
 Equity in CuspAI: You have a stake in the success of the company
 </li>
 <li>
 Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
 </li>
 <li>
 &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
 </li>
 <li>
 Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
 </li>
 <li>
 Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
 </li>
 <li>
 True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
 
 
 </li>
 </ul>
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 
 CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 
 
 
 We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
 
 
 
 
 Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
 
 
 
</div>

Applied AI/ML Engineer (Agents)

Accenture

<div>Do you have strong technical expertise and a strategic mindset with a focus on AI? Do you enjoy client conversations to deliver impactful data science, machine learning, and Advanced AI solutions? From guiding end-to-end projects to shaping data-driven strategies and exploring emerging topics such as Agentic AI, you know how to turn innovation into business value. If you are excited to guide and lead delivery and sales teams and help organizations position AI as a core business driver, we want to hear from you!
The work
As a Data Science &amp; Machine Learning Engineering (Senior) Manager, you will be part of our Data &amp; AI team within the Strategy &amp; Consulting practice. You will act as both a leader and an AI evangelist, leading project teams and educating clients on the latest trends in AI, machine learning, and data science. You will be working with diverse clients across multiple industries, guiding organizations in their Data &amp; AI journey, delivering analytics solutions and helping clients turn data into actionable insights to drive innovation.
People<ul><li>
Manage project teams of experts, including data scientists, Machine Learning Engineers and other AI professionals on (Gen)AI best practices, analytics, and innovation assignments.</li><li>
Be the mentor for junior and senior team members, providing career guidance and fostering professional growth.</li><li>
Partner with key stakeholders to demonstrate the value of Data Science, ensuring solutions are aligned with their business objectives.</li><li>
Help building and growing the team, actively developing data &amp; AI skills that shape the teams&rsquo; strategic direction.</li><li>
Collaborate with our practice leadership on setting the vision and direction of the Data Science team.</li></ul>
Processes<ul><li>
Lead AI opportunities and projects, from concept to implementation, ensuring high-quality outcomes and alignment with client needs.</li><li>
Build and maintain client relationship, acting as a trusted advisor to drive adoption and success with AI initiatives.</li><li>
Drive business development from a Data &amp; AI perspective and connect with Industry and Function experts within Accenture.</li></ul>
Technology and Data
<ul><li>Use your expertise in Data Science, Machine Learning and (Gen)AI to create meaningful business impact.</li><li>
Stay ahead of industry trends, continuously integrating cutting-edge technologies and methodologies into data science workflows, and bringing clients into these conversations.</li></ul> 
With all our roles, there is in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Who we are
n today&rsquo;s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That&rsquo;s where Accenture Strategy &amp; Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client&rsquo;s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Join our global network of people using the latest assets, platforms and partnerships to help bring ideas to life.
Accenture Data &amp; AI is driving these exciting changes across 40 industries and in more than 120 countries, covering skills that range from strategy development to data science professionalization. Our advice is based on best practice and situational analysis and enables our clients to act with speed and confidence. Whether we are investigating complex issues or identifying new opportunities, our work always comes down to one thing: unlocking value and creating real, tangible impact.
Strategy &amp; Consulting is one of five services that make up one Accenture &ndash; the others are Operations, Technology, Song and Industry X
#LI-EU</div>
 
<div>Here&rsquo;s what you&rsquo;ll need<ul><li>
6+ years* of professional experience in consulting or business roles with focus on Data Science and Machine Learning.</li><li>
Master's degree (WO) in a quantitative field (e.g., Data Science, Mathematics, Computer Science, Econometrics, Business Analytics).</li><li>
Fluent in English (both spoken and written).</li><li>
You have a clear vision of Data &amp; AI, what direction the capability will move towards and are able to share this vision with both your colleagues and our clients.</li><li>
Proven track record of success in project delivery and sales.</li><li>
Proven expertise in machine learning, Generative AI or Agentic AI, with a demonstrated ability to articulate the potential and impact of these technologies to clients.</li><li>
Thorough and in-depth understanding of the technical fundamentals behind AI technologies.</li><li>
Professional experience in leading and managing project teams.</li><li><ul><li>Your level (Manager / Senior Manager) will be determined based on your experience.</li></ul></li></ul>
What's in it for you?
Accenture is a global company with a world-class brand and reputation. Our people are Change Makers, and to support them as an employer, we make five promises:<ul><li>
Work with flexibility, in a culture based on trust</li><li>
Embrace a sustainable growth mindset</li><li>
Live a human-led culture of Inclusion &amp; Diversity by caring deeply for all our people.</li><li>
Lead and transform our clients with technology</li><li>
Connect with our global network of 700.000 colleagues.</li></ul>
These promises are reflected through our excellent employee benefits, including:<ul><li>
Unlimited learning: access to thousands of free courses, classes and workshops.</li><li>
Flexible working hours (4x9) &amp; work location.</li><li>
Paid transport (budget for electric bicycle or car, NS-Business card).</li><li>
Parental leave, Paternity leave for all non-birthing parents.</li><li>
Pension scheme, discount on Accenture shares, annual bonus, collective health insurance scheme.</li></ul>
What we believe
Accenture is an equal opportunity employer. Our leaders are committed to building a better, stronger and more equitable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.
Our position as partner to many of the world&rsquo;s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.
Accenture is committed to providing equal employment opportunities for all.</div>

Data Science & Machine Learning Engineering (Senior) Manager – Strategy & Consulting

Deloitte

<div><h2 class="jobSectionHeader">Be the true you</h2>

Accelerate our growth in Engineering and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte.
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>Je deelt bij ons mee in de winst. Boven op een vast salaris.</li>
<li>Altijd blijven groeien. Met ons development program.</li>
<li>Vergoeding om je thuiswerkplek op een ergonomisch verantwoorde manier in te richten &eacute;n een internetvergoeding.</li>
<li>Parttime (32 uur) of fulltime (40 uur) werken.</li>
<li>Flexibele werktijden, je deelt je eigen agenda in.</li>
<li>26 vakantiedagen per jaar bij een fulltime dienstverband en de mogelijkheid om extra dagen in te kopen.</li>
<li>Ruil 3 nationale feestdagen voor 3 niet-nationale feestdagen. Als je wilt.</li>
<li>Een goede mobiliteitsregeling: de keuze uit verschillende opties zoals een leaseauto, reizen met het OV, een cash budget of een combinatie daarvan.</li>
<li>Een laptop en iPhone. De iPhone mag je ook priv&eacute; gebruiken.</li>
<li>Een pensioenregeling waarbij je eigen bijdrage slechts 2% is. Voor later.</li>
<li>Mogelijkheid om deel te nemen aan de collectieve zorgkostenregeling.</li>
<li>Fiscaal voordelige zaken. Denk aan bedrijfsfitness, het aanschaffen van een fiets tegen bruto salaris of de mogelijkheid om een fiets te leasen.</li>
<li>De mogelijkheid om gebruik te maken van 55 uur oppasdienst per kalenderjaar, als jouw kind 12 jaar of jonger is.</li>
<li>Een maandelijks budget waarmee je keuzes kunt maken in flexibele arbeidsvoorwaarden zoals extra vakantiedagen of het financieren van een fietsplan.</li>
<li>Zes weken volledig betaald geboorteverlof voor traditionele huishoudens en regenbooggezinnen.</li>
</ul><h2 class="jobSectionHeader">Be the true you</h2>

Experience and leadership<ul><li>
7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems</li><li>
Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end</li><li>
Extensive experience advising senior executives and acting as a strategic partner</li></ul>
Technology expertise<ul><li>
Deep passion for technology, combining broad knowledge with strong depth in key domains</li><li>
Able to simplify complex technical topics into clear, actionable insights</li></ul>
In-depth experience with various technology stacks, including:<ul><li>
Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes;</li><li>
Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps;</li><li>
Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI;</li><li>
Integration and APIs: event-driven architecture and API management;</li><li>
DevoOps and platform engineering: CI/CD, infrastructure as code and observability;</li><li>
On-premise infrastructure and open source tools;</li><li>
Networking: CCST / CCNA / CCNP, CCIE, etc.</li></ul>
Commercial and stakeholder impact<ul><li>
Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships</li><li>
Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders</li><li>
Proven ability to navigate complex stakeholder environments across business and IT</li><li>
Self-starter with the ability to build a business</li></ul>
<h2 class="jobSectionHeader">What impact will you make?</h2>

Join our Engineering, AI &amp; Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner.
As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle.
Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.
<h2 class="jobSectionHeader">
How do you do this?</h2>
<ul><li>Lead strategic and commercial growth of AI &amp; Data offerings ;</li><li>
Identify and shape opportunities, define proposals, and convert them into impactful engagements;</li><li>
Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture;</li><li>
Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies;</li><li>
Guide clients in developing Engineering, AI &amp; Data blueprints and roadmaps;</li><li>
Manage the full project lifecycle, from early visioning to implementation and adoption;</li><li>
Inspire, coach and develop multidisciplinary project teams;</li><li>
Foster a learning environment with continuous growth opportunities;</li><li>
Partner with Talent teams to attract, develop and retain top talent;</li><li>
Champion a high-performance culture based on collaboration and integrity.</li></ul>
<h2 class="jobSectionHeader">Vragen of twijfels? Neem contact op.</h2>
Daan Beijersbergen (Recruiter) 
dbeijersbergen@deloitte.nl</div>

Manager Engineering, Artificial Intelligence & Data

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 
 
 Jouw rol als Senior Machine Learning Engineer
 
 
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 
 
 Jouw dagelijkse werkzaamheden omvatten:
 
 
 <ul>
 <li>
 Ontwikkelen en onderhouden van production grade GenAI-oplossingen
 </li>
 <li>
 Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
 </li>
 <li>
 Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
 </li>
 <li>
 Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
 </li>
 <li>
 Begeleiden van junior teamleden en bijdragen aan AI Excellence
 
 
 </li>
 </ul>
 Dit is je team
 
 
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 
 
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 
 
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 
 
 Wat breng
 
 
 jij ons?
 
 
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 
 
 Om succesvol te zijn in deze rol, breng je mee:
 
 
 <ul>
 <li>
 Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
 </li>
 <li>
 Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
 </li>
 <li>
 Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
 </li>
 <li>
 Ervaring met Python
 </li>
 <li>
 Ervaring met Azure en Infrastructure-as-Code
 </li>
 <li>
 Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
 </li>
 <li>
 Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
 
 
 </li>
 </ul>
 Wat krijg je
 
 
 van ons?
 
 
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 
 
 <ul>
 <li>
 Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
 </li>
 <li>
 Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
 </li>
 <li>
 Jaarlijks een individuele en collectieve verhoging conform onze CAO
 </li>
 <li>
 &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
 </li>
 <li>
 Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
 </li>
 <li>
 Een goede werk-priv&eacute; balans
 </li>
 <li>
 Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
 </li>
 <li>
 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
 </li>
 <li>
 Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
 </li>
 <li>
 Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
 </li>
 <li>
 Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
 
 
 </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 
 
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>

Senior Machine Learning Engineer

ABN AMRO Bank N.V.

<div>
 
 At a glance
 
 
 
 The Finance and Risk Data Domain is looking for an experienced (8+ years) machine learning engineer for the advanced analytics and AI team. The position is for 40 hours per week at hay level 11 (&euro; 70.000- &euro; 100.000 yearly gross based on 40 hrs) and you would join around 10 other engineers to create AI driven solutions that empower our business.
 
 
 The AI team uses its expertise to turn promising (gen)AI ideas into fully fledged products. These products are data driven and assist the business in unlocking the full value of our data in order to make better informed decisions. Several applications are already in use and are used daily by colleagues across the organization.
 
 
 
 Your job
 
 
 
 Your role within this team will include the design and creation of AI models/applications. You will also be expected to be able to explain the value of your designs and defend the choices made. As an expert and frontrunner on AI you should also be able to convince others of the value that your applications can bring, as well as coach and train less experienced engineers in the proper use of AI.
 
 
 AI applications usually start their journey with a business requirement and an idea to have AI assist with the stated problem. Then a proof of concept phase starts, followed by a formal production design and implementation if successful. You will be involved at all stages of this pipeline, offering advice and guidance, and aiding with the design and implementation, either directly or indirectly. You will also train teams to maintain these applications.
 
 
 
 Your profile
 
 
 
 We heavily utilize Databricks in our environment for our data applications, using Python as our language of choice. Required skills would therefore include:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Spark/PySpark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Azure (AI services especially)
 </li>
 <li>
 SQL
 </li>
 <li>
 Software development practices (clean code, SOLID, patterns etc.)
 </li>
 <li>
 Excellent communication and stakeholder management skills
 
 
 
 </li>
 </ul>
 AI-Assisted Development (nice to have)
 
 
 <ul>
 <li>
 Experience with AI-assisted development tools (e.g. GitHub Copilot in VS Code / IDEs)
 </li>
 <li>
 Able to establish and maintain structured AI context (e.g. repository-level instructions, prompts, and reusable skills)
 </li>
 <li>
 Guides AI tools by embedding team standards, architectural decisions, and best practices into reusable context
 </li>
 <li>
 Reduces rework and inconsistency by contributing to shared AI assets (templates, examples, and patterns)
 </li>
 <li>
 Critically evaluates AI-generated output and ensures alignment with quality, security, and maintainability expectationsIdentifies opportunities to scale AI usage across the team through structured approaches rather than ad-hoc prompting
 
 
 
 </li>
 </ul>
 
 Working environment
 
 
 
 The F&amp;R data domain is a multicultural environment that works in an agile way and promotes knowledge sharing and collaboration. We host department wide sessions several times a year to facilitate this and have some fun events on top.
 
 
 
 We are offering
 
 
 
 We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.
 
 
 In addition, we offer:
 
 
 <ul>
 <li>
 An attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
 </li>
 <li>
 An excellent pension scheme, ensuring that you are well prepared for the future.
 </li>
 <li>
 Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
 </li>
 <li>
 Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
 </li>
 <li>
 Five &ldquo;Banking for better days&rdquo;: extra days off that you can use for personal development or volunteer work.
 </li>
 <li>
 Personal development is key: you receive a development budget of &euro;1,000 per year, which can accumulate up to &euro;3,000.
 </li>
 <li>
 An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.
 
 
 
 </li>
 </ul>
 You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.
 
 
 
 Interested?
 
 
 
 After initial screening, the interview process consists of a first interview to go over the role and relevant experience and skills in broad strokes. This is followed by a technical assignment and a technical interview. The assignment covers the basic aspects of the job and forms a starting point for the second interview. After the second interview we will usually take a decision, although on rare occasions a third interview can take place. For additional questions, you can contact the hiring manager: jasper.ris@nl.abnamro.com
 
 
 
 Your Future: Inclusive, Innovative, Sustainable
 
 
 
 At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.
 
 
 If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.
 
 
 
 Disclaimer external recruitment agencies
 
 
 
 External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.
</div>

Machine Learning & AI Engineer

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