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For Companies At a Glance
- Tasks: Design and deploy advanced AI solutions that drive efficiency and innovation.
- Company: Join a top-ranked tech company known for its vibrant culture and innovative spirit.
- Benefits: Enjoy competitive pay, flexible work options, and a supportive environment for personal growth.
- Why this job: Make a real impact by working with cutting-edge AI technologies in a dynamic team.
- Qualifications: 4+ years in AI engineering with strong problem-solving and collaboration skills.
- Other info: Be part of a diverse team that values community and celebrates unique perspectives.
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
- 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 analyzing 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.
Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging. Our ability to win together as a team and to better each other is strengthened through our global perspectives, cultures, and identities.
Forward Deployed Engineer New London, United Kingdom employer: Workato Inc
Contact Detail:
Workato Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer New London, United Kingdom
✨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 your interview process. It’s all about making connections!
✨Tip Number 2
Prepare for the technical side! Brush up on your AI/ML knowledge and be ready to discuss how you’ve implemented similar solutions in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your collaboration skills! Be ready to share examples of how you’ve worked with cross-functional teams. At Workato, we value teamwork, so highlight your ability to communicate complex ideas clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our vibrant team at Workato.
We think you need these skills to ace Forward Deployed Engineer New 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 problems in the past. We love seeing candidates who can think critically and adapt to challenges, so don’t hold back on sharing your success stories!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. Remember, we want to see how you can communicate complex ideas simply, especially for non-technical audiences.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Workato Inc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML technologies and agent-based systems. Be ready to discuss specific projects you've worked on, especially those involving scalable AI-driven workflows. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about times when you had to troubleshoot or analyse AI-driven architectures. Being able to articulate your thought process will impress the interviewers and demonstrate your critical thinking abilities.
✨Communicate Clearly
Since you'll need to translate complex technical concepts for non-technical audiences, practice explaining your past projects in simple terms. This will help you convey your ideas effectively during the interview and show that you can bridge the gap between tech and business needs.
✨Be a Team Player
Workato values collaboration, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you contributed to internal process improvements or knowledge sharing, as this aligns with their culture of empowerment and teamwork.