Senior Specialist Solutions Engineer (AI/ML)

Databricks

(FEQ427R38)   At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. * Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation. * Lead strategic engagements, shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth across territories in the regions. * Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * 5+ years of experience engaging in technical customer interactions, preferably bringing direct pre-sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role.   * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. * Ability to dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms)  * Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).  * Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. We will be testing your ability to utilise AI-assisted tools through our hiring process! Key Notes for the role: * Location for the role needs to be within a commutable distance of our office location for a hybrid schedule. * You will need to be flexible and willing to travel across the region(s) for customer visits & events on a regular basis (i.e. up to ~2 weeks per month). * Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region. * Excellent communication skills in English required as a minimum. #LI-hybrid   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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™, 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. For specific details on the benefits offered in your region click here. 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.

Valtech

Senior Appian Development Consultant Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Role: You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital solutions. Our capability spans the full transformation lifecycle; from discovery and solution design through to implementation, optimisation and continuous improvement. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that simplify complex business processes and create measurable business value. As a Senior Appian Consultant, you'll play a key role in designing and delivering scalable Appian solutions that improve operational efficiency, automate manual processes and enable organisations to respond faster to changing business needs. This is a hands-on consulting role requiring strong technical expertise, client engagement skills and the ability to translate business requirements into robust enterprise applications. Role Responsibilities: You are a hands-on Appian specialist who enjoys solving complex business challenges through modern low-code technology. You combine strong technical capability with a consulting mindset and enjoy working closely with clients to understand problems before designing scalable solutions. You will lead the design, configuration and development of enterprise Appian applications, ensuring solutions are secure, maintainable and aligned to Appian best practices. You'll contribute throughout the delivery lifecycle, from technical design and sprint planning through to testing, deployment and production support. Working collaboratively with architects, product managers, business analysts and engineering teams, you'll help shape technical solutions that balance business requirements with implementation practicality. You'll be comfortable leading technical discussions with clients, providing guidance on solution design, integration approaches and delivery best practice while mentoring junior developers and helping elevate engineering quality across delivery teams. You'll actively contribute to Agile delivery ceremonies, supporting backlog refinement, estimation, sprint demonstrations and continuous improvement initiatives. You will also play an important role in maintaining delivery quality through technical reviews, unit testing, deployment management and performance optimisation. As technology continues to evolve, you'll remain curious and committed to continuous learning; embracing new Appian capabilities and identifying opportunities to improve delivery through automation, reusable components and emerging AI capabilities.   Must have Qualifications: * Proven experience delivering enterprise-scale Appian solutions within complex client * Strong experience developing Appian applications using Records, Record Types, Relationships, SAIL Interfaces, Process Models, Sites, Reports and CDTs, with the ability to manage a single application through its full lifecycle. * Strong understanding of relational databases, SQL, data modelling and enterprise data structures. * Comfortable working day-to-day within blended teams of client staff and third-party vendors, building good working relationships and adapting to the client's tools, processes and team culture. * Experience designing and implementing integrations using Connected Systems, Web APIs and external services, including REST and SOAP-based integration patterns, exercising sound judgement on when to use built-in objects, expressions, rules and plug-ins versus custom development. * Experience identifying performance bottlenecks, applying caching strategies, and using the Appian Health Check report and process monitoring tab to maintain production stability within an application. * Experience implementing Appian's security model and managing Appian deployments, release pipelines, and troubleshooting production issues within a single application or workstream. * Experience producing technical design documentation, unit testing and delivering high-quality solutions against defined acceptance criteria. * Strong understanding of Appian development best practices and enterprise application design principles. * Experience working within Agile Scrum delivery teams, including sprint planning, refinement, estimation and demonstrations. * Excellent communication skills with experience working directly with business stakeholders, Product Owners and technical teams. * A proactive mindset with a passion for continuous learning and emerging Appian capabilities. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organisations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.

Databricks

ReqID: FEQ327R501 Location:  London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission   As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI  thought leader. Impact you will have * Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. * GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. * Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. * Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.   What we look for * Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: * ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). * Hands-on experience working with Distributed Spark based systems * Experience with data engineering concepts or a good understanding of data engineering concepts  * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. * Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. * Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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™, 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. For specific details on the benefits offered in your region click here. 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.