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For Companies At a Glance
- Tasks: Design and deploy advanced AI solutions that transform how businesses operate.
- Company: Join a leading tech company redefining enterprise automation with innovative AI solutions.
- Benefits: Enjoy a vibrant work culture, competitive salary, and flexible work options.
- Other info: Be part of a fast-growing company recognised as a top workplace for remote workers.
- Why this job: Make a real impact in the AI space while collaborating with talented teams.
- Qualifications: 4+ years in AI engineering with strong problem-solving and collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalise AI across the business.
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
Responsibilities
- We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviours.
- This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
- Implement agent-based AI solutions using the Workato Agentic AI platform.
- Develop advanced prompting, memory management, and behaviour-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.
- Act as a technical solutions expert with strong aptitude in troubleshooting and analysing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
- Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
- Continuously monitor and improve AI system performance, ensuring efficiency and reliability.
- Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritising exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
- Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
- Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
- Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
- Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
- Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
- BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- A total of 4+ years of relevant experience in design, development, and implementation.
- Proven experience in AI engineering, with a focus on agent-based systems.
- Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
- Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
- Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
Nice to have
- Hands-on experience with any of the following: Java, Python, or Ruby.
- Experience working with integration platforms such as TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools.
- Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure.
- Experience with Workato.
- Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo.
Soft Skills / Personal Characteristics
- Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.
- Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.
- Ability to effectively prioritise tasks and manage time, even under high-pressure situations.
- Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.
- Fast learner who can independently conduct extensive research, and synthesise ideas, information and options quickly.
- Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.
Forward Deployed Engineer in London employer: Workato
Contact Detail:
Workato Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Workato on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Forward Deployed Engineer. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your AI/ML knowledge and problem-solving skills. Be ready to discuss specific projects you've worked on that relate to agent-based systems. Show us how you can bring value to our team!
✨Tip Number 3
Don’t just focus on technical skills; highlight your collaboration and communication abilities too. We love team players who can translate complex ideas into simple terms. Share examples of how you've worked with cross-functional teams in the past.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in being part of the Workato family. We can't wait to meet you!
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your experience with AI/ML technologies and integration projects, as these are key to what we’re looking for.
Showcase Your Skills: Don’t just list your skills—demonstrate them! Use specific examples from your past work that show how you’ve successfully implemented AI-driven workflows or tackled complex problems. We love seeing real-world applications!
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it’s relevant, and make sure your passion for the role shines through. We want to see your personality as well as your qualifications!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands, and you’ll find all the details you need there to make your application stand out!
How to prepare for a job interview at Workato
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/ML technologies and integration architectures. Be ready to discuss specific projects where you've implemented agent-based systems or automated workflows, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in previous roles. Think about times when you had to troubleshoot AI-driven architectures or improve system performance, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Confidently
Since you'll need to translate complex concepts for non-technical audiences, practice explaining your past projects in simple terms. This will demonstrate your strong communication skills and ability to collaborate across teams, which is crucial for the role.
✨Align with Company Culture
Familiarise yourself with Workato's values and culture. Be prepared to discuss how you can contribute to their flexible, trust-oriented environment and how your proactive mindset aligns with their innovative approach. Showing that you fit into their culture can set you apart from other candidates.