At a Glance
- Tasks: Lead the development of secure, scalable AI solutions that drive innovation.
- Company: Join AWE, a leader in high-security AI technology.
- Benefits: Enjoy a competitive salary, flexible working, and generous annual leave.
- Other info: Work in a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact in a high-security environment while advancing your career.
- Qualifications: Bachelor's degree in STEM and experience in AI/ML solutions required.
The predicted salary is between 41000 - 81000 £ per year.
Salary: £41,000 - 81,000 per year
Requirements
- Bachelor's degree, or equivalent experience, in Computer Science, Software Engineering, Data Science, or a related STEM field.
- Substantial experience designing, building, and deploying enterprise AI/ML solutions, including technical leadership on complex projects.
- Track record of delivering secure, scalable software or data systems, with experience leading a small engineering team and/or delivery partners.
- Strong leadership and communication skills, with the ability to guide technical teams and work effectively with stakeholders.
- Deep knowledge of modern AI/ML architectures, including practical experience developing or integrating machine learning models or AI agents.
- Strong software engineering capability, including Python, cloud platforms, and MLOps/DevOps practices such as CI/CD pipelines, containerisation, automated testing, and model deployment and monitoring.
- Ability to meet security clearance requirements and work within a high-security environment.
- Experience in a highly regulated or secure industry, such as defence, government, or nuclear, would be beneficial.
Responsibilities
- Lead enterprise AI delivery, turning prototypes into secure, scalable AI solutions that drive innovation and efficiency across the organisation.
- Lead a cross-functional AI engineering team, providing technical and team leadership for enterprise AI development.
- Own the end-to-end AI architecture across agents, models, data flows, and integrations, ensuring solutions are secure, scalable, and aligned to a coherent enterprise ecosystem.
- Oversee the design, build, and production deployment of AI services, ensuring security, compliance, reliability, and operational readiness.
- Establish the infrastructure, tooling, and automated pipelines needed for efficient development, testing, deployment, monitoring, and lifecycle management of AI models and agents.
- Deliver secure APIs, data pipelines, and connectors so AI solutions integrate effectively with enterprise systems and business processes.
- Implement monitoring, incident management, and continuous optimisation to ensure dependable, cost-efficient AI services in production.
- Provide architectural leadership, uphold engineering and security standards, and mentor engineers to grow internal capability.
- Work closely with AI Adoption, AI Platform & Capability Development, Governance, and business teams to move solutions from prototype to enterprise scale.
- Foster a high-performing engineering culture focused on rapid delivery, continuous improvement, and realisation of AI value.
- Maintain architecture standards, service metrics, and support models to ensure AI services remain accurate, efficient, and sustainable.
- Operate effectively within a high-security environment, following strict safety, security, and assurance protocols.
Technologies
- AI
- CI/CD
- Cloud
- DevOps
- Support
- Machine Learning
- Python
- Security
We are AWE, based at RG7 4PR between Reading and Basingstoke with free onsite parking. We offer a salary package of £61,460 to £95,000 depending on suitability, qualifications, and experience, along with a 9-day working fortnight, flexible working requests, and hybrid working available on an informal, non-contractual basis. We provide award-winning benefits including generous annual leave, a contributory pension scheme, family-friendly leave, professional development support, an employee assistance programme, occupational health services, life assurance, discounts, and special leave for volunteering, public service, and caring. Our shared purpose is to help keep the nation safe, and we operate in a high-security environment with strict safety, security, and assurance standards.
Agentic AI Specialist in Sherborne St John employer: Sivara GmbH
At AWE, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our professional development support and flexible working arrangements, including a 9-day working fortnight and hybrid options. With a focus on delivering secure, scalable AI solutions in a high-security environment, we provide a unique opportunity for talented individuals to contribute to national safety while enjoying generous benefits and a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Specialist in Sherborne St John
✨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 Sivara GmbH 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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH 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 Agentic AI Specialist in Sherborne St John
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 Sivara GmbH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivara GmbH 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 Sivara GmbH
✨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 Sivara GmbH 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.