senior solutions engineer

Ignite Travel

<div>Are you ready to shape the future of industrial supply chains? We are developing the definitive digital ecosystem for the construction industry. Our sophisticated B2B SaaS platform empowers suppliers, freight forwarders, and building companies to fully automate and digitize their entire order, delivery note, and invoicing cycles.
By removing manual paperwork from the equation, we help businesses drastically cut operating costs, unlock complete supply chain transparency, and seamlessly track environmental impact. We are looking for a proactive, client-facing (Senior) Solutions Engineer for Integrations to join our team from the comfort of your home office.<h2 class="jobSectionHeader">
The Role</h2>
As a (Senior) Solutions Engineer for Integrations, you will act as the crucial technical link between our rapidly expanding cloud platform and our clients' complex enterprise IT environments. In this position, you will maintain end-to-end responsibility for client integration lifecycles, serving as an expert technical consultant for our customers and a core strategic ally to our internal Product and Engineering groups.<ul><li>
Our AI-First Workflow: We firmly believe in the power of artificial intelligence. You will operate within an advanced AI-driven environment, regularly deploying next-generation AI tools to supercharge your technical output, automate workflows, and scale your professional impact.</li></ul><h2 class="jobSectionHeader">
Tasks &amp; Responsibilities</h2><ul><li>
End-to-End Ownership: Spearhead customer integration lifecycles from early technical scoping and solution architecture through to development, testing, launch, and long-term user adoption.</li><li>
Technical Analysis: Deconstruct and evaluate client software environments, data pipelines, operational processes, and integration targets to craft optimized technical blueprints.</li><li>
Solution Architecture: Design resilient integration frameworks utilizing REST APIs, webhooks, EDI protocols, file-based data transfers, third-party software, and bespoke customer workflows.</li><li>
Prototyping &amp; Building: Personally build, configure, and prototype integration elements using Python, collaborating directly with core Engineering to safely ship them to production.</li><li>
AI-Driven Development: Integrate modern AI-assisted engineering environments (e.g., Cursor, Claude, GitHub Copilot) into your daily routine to speed up architectural analysis, generate clean code, and draft documentation faster.</li><li>
Success Monitoring: Evaluate system performance and connection stability post-deployment, gather continuous client feedback, and champion ongoing product and workflow enhancements.</li></ul><h2 class="jobSectionHeader">
Your Profile</h2>
We want an analytical, collaborative, and digitally savvy technical professional who works excellently independently and enjoys solving complex architecture puzzles in a fast-paced environment.<h3 class="jobSectionHeader">
Minimum Requirements</h3><ul><li>
Core Experience: 3+ years of proven success in a customer-facing technical position (e.g., Solutions Engineer, Integration Engineer, Forward Deployed Engineer, or Sales Engineer), ideally within a fast-moving startup or scale-up.</li><li>
Language Requirements: Complete professional fluency in both German (C1+) and English (C1+) is mandatory for internal collaboration and client consulting.</li><li>
Integration Protocols: Hands-on mastery of APIs, webhooks, modern system communication architectural patterns, and system-to-system data exchange.</li><li>
Data &amp; Enterprise Systems: Comprehensive knowledge of structural EDI and XML-based data standards (such as EDIFACT, ZUGFeRD, ebInterface). Foundational experience with major enterprise ecosystems like SAP, DATEV, Microsoft Dynamics, or Sage.</li><li>
Coding Skills: Confident ability to read, interpret, and write Python code for prototyping, testing, and deployment configurations.</li><li>
AI Savvy: A deep natural affinity for AI agents and developer toolsets, backed by a track record of using them to maximize personal output.</li></ul><h3 class="jobSectionHeader">
Nice-to-Haves</h3><ul><li>
Prior exposure to the construction, logistics, or transport sectors.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Financial Framework</h2><ul><li>
Base Salary: Up to &euro;80,000 gross p.a. (depending on experience and qualifications).</li><li>
Employment Type: Full-Time, Permanent.</li><li>
Growth Potential: Seize the career-defining opportunity to shape a mature, fast-scaling B2B SaaS platform that is actively revitalizing a legacy trillion-dollar global sector.</li></ul><h2 class="jobSectionHeader">
What We Offer &amp; Corporate Culture</h2><ul><li>
Impact &amp; Autonomy: Enjoy immense creative freedom and full, end-to-end ownership of client integration strategies that directly drive our market reach.</li><li>
Home Office Setup: Complete flexibility to work 100% remotely from home, supported by regular virtual team events and offsites.</li><li>
Flat Hierarchies: Work in direct partnership with our founders and executive leadership team, benefiting from swift decision-making paths and zero red tape.</li><li>
Modern AI Stack: Benefit from an authentic AI-First philosophy. Premium tools like GitHub Copilot, Claude, and Cursor are integrated directly into your workstation setup.</li><li>
Perks &amp; Benefits: Access to an EGYM Wellpass digital membership, a comprehensive corporate benefits program, and an official company travel card.</li></ul><h2 class="jobSectionHeader">
Ready to Join the Team?</h2>
If you are eager to combine your engineering expertise with the ultimate flexibility of working from home, we want to see your application.
Select Apply Today and submit your resume, a link to your LinkedIn/GitHub profile, and your earliest potential starting date!</div>

German Speaking Senior Solutions Engineer

London Business School

<div>Why London Business School

London Business School; a global and vibrant business community based in two of the world&rsquo;s most dynamic cities, London and Dubai. It&rsquo;s where extraordinary minds and diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students and participants, whilst creating a flexible, supportive and dynamic working environment for our people to excel in, whatever their location.
The Role

Design and deliver secure, scalable cloud solutions
London Business School are looking for an experienced Senior Cloud Solutions Engineer to help shape and operate secure, resilient and scalable cloud platforms that support the School&rsquo;s teaching, research and administrative mission.
This is an exciting opportunity for a technically strong cloud engineer who can combine architecture, automation and operational excellence to build sustainable cloud solutions in a complex and high-impact environment.
You will be responsible for designing, delivering and operating secure, resilient and scalable cloud platforms that support the School&rsquo;s teaching, research and administrative services.
You will provide technical leadership in the development and continuous improvement of Azure-based services, ensuring platforms are reliable, cost-effective and aligned with institutional strategy, security standards and regulatory requirements.
This role will lead the implementation of Infrastructure as Code using Terraform, drive automation and CI/CD practices through Azure DevOps, and ensure robust identity, access and device management using Entra and Windows-based services. You will also play a key role in integrating cloud services, including messaging and integration patterns using Azure Service Bus, to enable modern, connected digital services across the School.
As a subject matter expert, you will mentor colleagues, influence architectural decisions and collaborate with academic and professional services teams to translate business and research needs into sustainable cloud solutions
Main Responsibilities
<ul><li>Design, deliver and operate secure, scalable cloud platforms using Microsoft Azure.</li><li>
Lead the use of Infrastructure as Code approaches, including Terraform.</li><li>
Drive automation and CI/CD practices through Azure DevOps.</li><li>
Support the development of cloud strategy and evaluate cloud services and technologies.</li><li>
Design templates for code-driven cloud deployments with strong governance and security controls.</li><li>
Provide implementation guidance for modernising IaaS workloads into PaaS, containers or serverless solutions.</li><li>
Support the operation of resilient and scalable service bus capabilities to reduce point-to-point integrations.</li><li>
Work with application owners and developers to migrate integrations towards service bus patterns.</li><li>
Implement logging, monitoring, cost management, code repository and deployment lifecycle standards.</li><li>
Ensure cloud services meet security, availability and sustainability requirements.</li><li>
Share knowledge and support colleagues in building and operating cloud infrastructure.</li></ul>
Who we are looking for
<ul><li>Significant experience with software and infrastructure technologies in your specialist area.</li><li>
Strong communication skills, with the ability to engage a range of audiences.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to manage multiple internal and external stakeholders.</li><li>
Ability to prioritise and focus on material issues.</li><li>
Experience leading projects.</li><li>
Experience managing external suppliers or contractors.</li><li>
Financial management awareness and commercial acumen.</li></ul>
You will also bring strong experience in:<ul><li>
Infrastructure as Code</li><li>
Terraform</li><li>
JSON</li><li>
PowerShell</li><li>
XML</li><li>
Containerisation and Kubernetes</li><li>
AAD / Entra and OAuth integrations</li><li>
Git</li><li>
Azure DevOps / VSTS</li><li>
ARM</li><li>
Test-driven development</li><li>
RESTful services</li><li>
Azure Service Bus</li><li>
APIs</li><li>
Working in a continuous integration and Agile / Scrum-led environment</li><li>
One or more high-level programming languages and scripting experience</li></ul>
What you can expect from us
<ul><li>Generous annual leave of 27 days PLUS extra between Christmas and New Year!</li><li>
Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution)</li><li>
Free onsite gym and swimming pool</li><li>
Amazing range of professional development to support your career path</li><li>
Enhanced cycle to work scheme</li><li>
Wellbeing offering to support your physical, mental and financial health</li></ul>
At London Business School, we support Smart Working - a hybrid approach designed to help you achieve a healthy work-life balance while delivering the best outcomes for your role and the needs of our customers. All roles require a minimum of two days on campus each week to foster a vibrant, collaborative community.
For this role specifically, you will be expected to be on campus 2 days per week.
We operate with &lsquo;core hours&rsquo; &ndash; 10:00-15:00 &ndash; to maximise opportunities for connection and collaboration across teams during the working day. Outside of these hours, you may still be required for meetings or collaboration based on your role and customer needs. Additionally, we offer Protected Time - a flexible, one-hour slot, within the working week dedicated to your learning and development, wellbeing, or focused, quiet work
Our commitment to driving inclusion and belonging
We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion &amp; belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.
Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applying
Please note we start screening CVs and interviewing candidates from the start of a campaign. A successful candidate could progress to offer before the advertised closing date. We encourage you to apply as soon as possible if you are interested in any roles.</div>

Senior Cloud Solutions Engineer

Neat

<div>Location: Hybrid San Jose, CA, US; Bay Area, CA, US.
The Role
At Neat, a Senior Solutions Engineer (SE) is the trusted technical advisor and product expert supporting our enterprise sales teams. This role sits at the intersection of technology, strategy, and customer engagement&mdash;ensuring prospects, customers, and partners fully understand the value, innovation, and long-term vision behind Neat&rsquo;s portfolio.
Hybrid expectations are three (3) days a week present in the San Jose Neat Experience Center (NEC) or onsite with enterprise customers.
The Senior Solutions Engineer focuses on three (3) core areas:
1. Sales Collaboration &amp; Technical Leadership: Senior Solutions Engineers partner closely with Enterprise Account Management and Channel teams to drive successful customer outcomes. You will:<ul><li>
Lead by listening - understand enterprise customer requirements and translate to real-world value.</li><li>
Lead product demonstrations, workshops, and proof-of-concept engagements.</li><li>
Align with Enterprise Territory Account Managers on technical strategy and competitive positioning.</li><li>
Ensure Customers clearly understand Neat&rsquo;s value proposition, design philosophy, and roadmap.</li><li>
Remove technical barriers and instill confidence throughout the buying process.</li></ul>
2. Product &amp; Engineering Ambassador: Senior Solutions Engineers serve as the voice of the customer and partners internally&mdash;and the voice of the product externally. You will:<ul><li>
Gather, evaluate, and prioritize customer and partner feedback.</li><li>
Translate real-world use cases into actionable insights for Product and Engineering.</li><li>
Communicate roadmap vision and future-state capabilities clearly and credibly.</li><li>
Represent Neat&rsquo;s innovation strategy in executive and technical conversations.</li></ul>
3. Product Evangelism &amp; Enablement: Senior Solutions Engineers bring the &ldquo;wow factor&rdquo; of Neat to life. You will:<ul><li>
Deliver impactful product demos that showcase simplicity, intelligence, and design excellence.</li><li>
Enable Sales teams through training and technical coaching.</li><li>
Support webinars, events, and marketing initiatives.</li><li>
Communicate new product releases and feature updates internally and externally.</li><li>
Elevate technical storytelling across the organization.</li></ul>
What We&rsquo;re Looking For<ul><li>
Strong professional experience in videoconferencing and commercial AV technologies; OEM experience preferred.</li><li>
Broader knowledge of unified communications and collaboration ecosystems (web conferencing, IP telephony, platform integrations).</li><li>
Exceptional communication and presentation skills.</li><li>
Ability to translate technical concepts into business value.</li><li>
Customer-facing experience with enterprise and/or channel partners.</li><li>
A collaborative mindset with the ability to thrive in a fast-growing, global environment.</li></ul>
Compensation &amp; Benefits
Pay Range: $190,000 - $235,000 OTE per year. Actual compensation will be determined based on factors such as the candidate&rsquo;s relevant experience, skills, and internal equity. This position is eligible for our comprehensive benefits package, including medical, dental, and vision insurance, and an unlimited PTO policy.
Why Join Neat?
At Neat, you&rsquo;ll be part of a passionate team shaping the future of video collaboration. You&rsquo;ll have the unique opportunity to represent our brand directly to global audiences and play a key role in how customers experience Neat.
We&rsquo;re looking for passionate people who work hard and are focused yet like to have fun. The independent thinkers who thrive in a top-notch team of diverse talents. You&rsquo;ll be contributing to a positive force for progress as the world moves to a new way of working. The workplace is changing, and you can be a part of shaping that future.
Our Company
Neat brings people together with beautifully simple, versatile video devices and experiences. By minimizing the physical and virtual divide, we enable everyone to feel more connected, present and understood, however they prefer to work. We aim to make our technologies so intuitive that terms like &quot;in-office&quot; and &quot;remote&quot; will seem obsolete in five years. Neat's pioneering portfolio addresses the needs of today's workplace and natively supports Microsoft Teams, Zoom, Google Meet, and a range of compelling business apps.
We are an ambitious, accountable, collaborative, responsible, and growing team that fosters an environment where creativity and ingenuity can flourish. We strive to bring out the best in our Neaters and make amazing products and experiences. We are based in Oslo with Neaters working all over the world.</div>

Senior Solutions Engineer, Enterprise - Hybrid San Jose / Bay Area, CA, US

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 
 
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 
 
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 
 
 Generative AI technologies and how they apply to analytics and decision-making are highly
 
 
 desirable.
 
 
 This individual will work closely with the sales team, prospects, and customers to demonstrate
 
 
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 
 
 deliver rapid business value.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Partner with Sales to deliver compelling value propositions, product demonstrations, and
 </li>
 <li>
 Proofs of Concept (POCs) to prospective customers.
 </li>
 <li>
 Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
 </li>
 <li>
 Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
 </li>
 <li>
 Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
 </li>
 <li>
 Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
 </li>
 <li>
 Collaborate with product and engineering teams to provide feedback from the field.
 </li>
 <li>
 Present at events, webinars, and customer workshops as a technical expert.
 </li>
 <li>
 Stay updated with data trends, GenAI developments, and regional market demands.
 </li>
 <li>
 Support RFPs/RFIs and contribute to technical proposals.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
 </li>
 <li>
 technical roles.
 </li>
 <li>
 Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
 </li>
 <li>
 Familiarity with data management practices, including governance, quality, and metadata.
 </li>
 <li>
 Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
 </li>
 <li>
 Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Strong SQL skills; knowledge of Python is a plus.
 </li>
 <li>
 Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with NDMO, PDPL, or regional data regulations is a plus.
 </li>
 <li>
 Ability to engage with both technical and executive-level stakeholders.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Senior Presales Solutions Engineer

Confidential

<h3>Job Summary</h3>We are seeking an experienced engineering professional to provide technical leadership and client support across complex infrastructure projects. This role is responsible for managing technical relationships, delivering engineering solutions, coordinating cross-functional teams, and ensuring the successful delivery of services in line with quality, safety, and operational standards.<h3>Key Responsibilities</h3><ul><li>Build and maintain strong relationships with strategic clients and project stakeholders.</li><li>Provide technical guidance and engineering support throughout the project lifecycle.</li><li>Coordinate installation, operational and maintenance activities with internal teams and contractors.</li><li>Investigate and resolve complex technical issues to minimise operational disruption.</li><li>Monitor service delivery against agreed performance standards and KPIs.</li><li>Prepare technical reports, project updates and engineering documentation.</li><li>Ensure compliance with engineering standards, quality systems and HSE requirements.</li><li>Support continuous improvement initiatives and operational excellence.</li></ul><h3>Requirements</h3><ul><li>Bachelor's Degree in Electrical Engineering or related discipline.</li><li>10+ years' experience in infrastructure, utilities or large-scale engineering environments.</li><li>Strong stakeholder management and client-facing experience.</li><li>Excellent communication, analytical and problem-solving skills.</li></ul>

Senior Technical Solutions Engineer

Databricks

<div>ReqID: FEQ327R328
Recruiter: Dina Hussain
Location: London, United Kingdom - Hybrid
Skills: Data Science, Machine Learning, AI, LLM, GenAI
As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.
You will be reporting to the Manager, Field Engineering (Specialist Team)
The impact you will have:
<ul><li>Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services.</li>
<li>Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples.</li>
<li>Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks.</li>
<li>Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences.</li>
</ul>What we look for:
<ul><li>Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment.</li>
<li>Pre-sales or post-sales experience working with external clients across a variety of industry markets</li>
</ul>Data Science/ML Skills
<ul><li>Hands-on industry ML experience in at least one of the following:</li>
<li><ul><li>ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring</li>
<li>Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI</li>
</ul></li><li>Hands-on experience working with Distributed Spark based systems.</li>
<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience</li>
<li>Experience communicating and teaching technical concepts to non-technical and technical audiences alike</li>
<li>Passion for collaboration, life-long learning, and driving our values through ML</li>
<li>[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role</li>
<li>[Preferred] Experience working with Apache Spark&trade; to process large-scale distributed datasets</li>
<li>Can meet expectations for technical training and role-specific outcomes within 3 months of hire</li>
<li>Can travel up to 30% when needed</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>

Senior Specialist Solutions Engineer (AI/ML)

<div>At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we&rsquo;ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you&rsquo;ll be part of a pioneering team shaping the future of robotics&mdash;working alongside world-class experts in a fast-moving, innovation-driven environment.
This Position reports to:
Business Manager - Operations&amp;Portfolio<div><div> 
In this role, you will play a key role in shaping ABB Robotics' automation solutions for the rapidly growing data center market. Working closely with customers, sales teams, Global Solution Centers, and technology partners, you will translate customer needs into scalable, standardized automation concepts that drive innovation and deliver business value. You will act as the technical lead throughout the early solution lifecycle, ensuring a seamless transition from concept to execution while contributing to the continuous evolution of ABB's data center automation portfolio.</div></div><div>
This is a global role.
The work model for the role is: hybrid; #LI-hybrid.
Up to 50% of travelling will be required for this position.
Your responsibilities:
<ul><li>Solution Architecture &amp; Application Engineering: Develop scalable, standardized automation solutions for data centers by translating customer requirements into robust system architectures and application concepts.</li><li>
Presales &amp; Technical Consulting: Partner with Sales, Key Account teams, Global Solution Centers, and ecosystem partners to shape customer opportunities, develop technical proposals, and act as ABB's technical expert in customer discussions, workshops, and bids.</li><li>
Technical Leadership &amp; System Integration: Lead the technical definition of integrated automation solutions combining robotics, automation, IT/OT infrastructure, and partner technologies, ensuring alignment from solution design through project execution.</li><li>
Project Support: Support the transition from presales to execution by providing technical guidance during key project phases and ensuring continuity throughout the project lifecycle.</li><li>
Continuous Improvement &amp; Innovation: Capture customer and field feedback to enhance standardized solution architectures and contribute to the development of next-generation automation concepts for data centers, including robotics and AI-enabled operations.</li></ul> 
Qualifications for the role:<ul><li>
Bachelor's or Master's degree in Engineering, Automation, Robotics, or a related technical field.</li><li>
5&ndash;10 years of experience in application engineering, systems engineering, solution architecture, or a similar customer-facing technical role.</li><li>
Experience with industrial automation, robotics, system integration, or data center infrastructure, with the ability to develop end-to-end technical solutions.</li><li>
Proven experience supporting presales activities, technical consulting, or bid management in a complex engineering environment.</li><li>
Strong communication and stakeholder management skills, with the ability to influence customers and cross-functional teams without direct authority.</li><li>
Fluency in English is required, along with a willingness to travel globally for up to 50% of the time, including occasional travel at short notice.</li></ul></div>
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.</div>

Senior Applications & Solutions Engineer Data Centers - ABB Robotics

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