At a Glance
- Tasks: Design and deploy advanced AI solutions that revolutionise workflows and enhance IT operations.
- Company: Join a leading tech company trusted by 50% of the Fortune 500.
- Benefits: Enjoy a vibrant work culture, competitive salary, and flexible work options.
- Other info: Be part of a fast-growing team with excellent career growth opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 4+ years in AI engineering and strong problem-solving skills required.
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 Careers
At Workato, we pride ourselves on being an exceptional employer that champions a flexible and trust-oriented culture, empowering our employees to take ownership of their roles while balancing productivity with self-care. Our vibrant work environment is complemented by numerous benefits, fostering both personal and professional growth, making it an ideal place for innovative thinkers eager to make a meaningful impact in the tech industry. Join us in the Bay Area, where you'll collaborate with top talent and contribute to cutting-edge AI solutions that redefine enterprise automation.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Workato Careers or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Workato Careers.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Workato Careers.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Workato Careers that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Workato Careers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Workato Careers and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Workato Careers
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Workato Careers uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
