At a Glance
- Tasks: Design and deploy advanced AI solutions that drive efficiency and innovation.
- Company: Join a leading tech company transforming business operations globally.
- Benefits: Enjoy a vibrant work culture, competitive salary, and flexible work options.
- Other info: Be part of a diverse team that values collaboration and community.
- 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 36000 - 60000 £ per year.
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. 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:
- Design, develop, and deploy advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviours.
- 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.
- 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.
Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging.
Forward Deployed Engineer London, United Kingdom employer: Workato Inc
Workato is an exceptional employer that champions a flexible, trust-oriented culture, empowering employees to take ownership of their roles while balancing productivity with self-care. Located in London, the company offers a vibrant work environment, competitive benefits, and ample opportunities for professional growth, all within a dynamic team dedicated to innovation and collaboration. As a leader in enterprise orchestration, Workato not only values diversity but also fosters a sense of community, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer London, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, especially how they value innovation and collaboration. Practice common interview questions and think about how your skills align with their needs.
✨Tip Number 3
Showcase your projects! If you've worked on relevant AI/ML projects, be ready to discuss them in detail. Bring along any portfolios or case studies that highlight your problem-solving skills and technical expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Forward Deployed Engineer London, United Kingdom
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 this will show us you understand what we're looking for.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can think critically and adapt to dynamic environments, so don't hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, especially when discussing complex concepts. We want to see that you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you’ll get a feel for our company culture while you’re at it!
How to prepare for a job interview at Workato Inc
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific technologies you've worked with, especially those related to agent-based systems. Prepare examples of how you've implemented scalable AI-driven workflows in the past.
✨Show Off Your Problem-Solving Skills
During the interview, be prepared to tackle some technical challenges or case studies. Think about how you can demonstrate your analytical skills and critical thinking. Use real-life scenarios where you successfully solved complex problems to showcase your expertise.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical audiences, practice simplifying your explanations. Use analogies or relatable examples to make your points clear. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Be a Team Player
Workato values collaboration, so highlight your experience working in cross-functional teams. Share stories that illustrate your ability to adapt and contribute positively in a dynamic environment. Emphasise your passion for making an impact and how you can help foster a sense of community within the team.
