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- Tasks: Solve real-world problems using AI tools and structured thinking.
- Company: Join a leading tech company focused on innovation and meaningful change.
- Benefits: Competitive salary, career development, flexible hours, and wellness programmes.
- Other info: Great opportunities for career advancement and continuous learning.
- Why this job: Make a real impact while learning and growing in a supportive environment.
- Qualifications: Curiosity, analytical skills, and a passion for problem-solving are key.
The predicted salary is between 30000 - 40000 £ per year.
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.
We are hiring individuals who take a structured, agentic approach to solving real-world problems using modern, AI-enabled tools. This role is suited to people who are naturally curious, analytical, and motivated by understanding how things work. You will focus on breaking down complex problems, designing structured solutions, and iterating towards effective outcomes, working with both foundational technical concepts and AI-assisted workflows. This is not a traditional code-first development role. You will work closely with experienced architects and business analysts to translate business challenges into clear, structured solutions, including workflows, data flows, decision models, and specifications. You will operate within a modern, well-architected enterprise environment, leveraging AI-assisted platforms, low-code tooling, and data-centric systems such as Microsoft Copilot Studio / Power Platform / Power Automate and related ecosystems. Success in this role requires a disciplined, methodical mindset, the confidence to challenge assumptions, and a genuine interest in solving problems that have practical impact.
Key Responsibilities
- Analyse business problems and translate them into structured solution approaches
- Create artefacts such as workflows, data flows, diagrams, decision trees, and pseudo code
- Use AI-assisted tools to explore, validate, and refine solutions in a controlled and structured way
- Critically assess AI-generated outputs, identifying gaps, inconsistencies, and risks
- Apply logical, heuristic, and lateral thinking to iterate and improve solutions
- Work with core system concepts such as data structures, databases, caching, lookups, indexing, and integrations
- Communicate clearly with stakeholders to ensure shared understanding of problems and solutions
- Contribute to solution refinement, testing, debugging, and continuous improvement
- Operate effectively within structured delivery practices and quality standards
This role is best suited to individuals who:
- Prefer structured thinking over trial-and-error approaches
- Are comfortable working through ambiguity by applying logic and method
- Are motivated by continuous learning and improvement
- Take ownership of problems and see them through to resolution
- Balance discipline with adaptability when exploring solutions
Future Potential
This role is designed for individuals who may go on to become solution designers, technical leads, or architects over time. We do not expect deep technical expertise from day one. Instead, we value clarity of thought, structured problem solving, and the willingness to learn. You will be supported by experienced practitioners while developing your ability to:
- Understand complex systems
- Model processes and data flows
- Apply proven problem-solving approaches
- Work effectively with AI as part of solution delivery
Qualifications
- Background or strong interest in a structured or analytical discipline, such as science, engineering, mathematics, software, business systems, or similar
- Minimum A-Level or equivalent in an analytical subject; degree-level education is advantageous but not required
- Strong logical reasoning and problem decomposition skills
- Ability to express ideas clearly using diagrams, workflows, structured notes, or pseudo code
- Confidence communicating with both technical and non-technical stakeholders
- Curiosity about how systems, data, and processes work
- Comfortable using AI tools, with the ability to question and validate their outputs
- Pragmatic mindset with a willingness to test ideas, learn quickly, and improve
You are not expected to have all of the above from day one. We are particularly interested in how you think and approach problems. Exposure to or awareness of the following concepts is beneficial, but not required.
Awareness of modern solution environments, including:
- Low-code / no-code platforms and AI-assisted development tools
- Integration patterns using APIs, connectors, and event-driven architectures
Understanding of core software and system design concepts such as:
- Microservices and distributed systems
- Data flows and messaging patterns
- Contract-based design and loosely coupled architectures
Awareness of data-focused principles, including:
- Data modelling and data lifecycle
- Data governance and quality considerations
- Challenges around single source of truth and data consistency
Exposure to data platforms or analytics tools, such as data warehouses, reporting platforms, or semantic layers
Familiarity with modern enterprise platforms, such as Microsoft Copilot Studio / Power Platform / Power Automate or similar ecosystems
Understanding of structured delivery practices, such as SDLC, versioning, testing, and quality gates
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives - because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Solution Developer (Agentic AI Focus) in London employer: Endava Limited
Contact Detail:
Endava Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Developer (Agentic AI Focus) in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to referrals, which can be a game-changer.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to structured problem-solving. Use examples from your past experiences to demonstrate how you approach challenges and iterate towards solutions.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Solution Developer (Agentic AI Focus) in London
Some tips for your application 🫡
Show Your Curiosity: We want to see your natural curiosity shine through in your application. Share examples of how you've approached complex problems and what tools or methods you used to tackle them. This will help us understand your analytical mindset!
Be Structured and Clear: When writing your application, keep it structured and clear. Use bullet points or headings to break down your experiences and skills. This not only makes it easier for us to read but also showcases your ability to communicate effectively.
Highlight Your Learning Journey: We love candidates who are motivated by continuous learning! Mention any courses, projects, or experiences that have helped you grow your skills, especially in AI or problem-solving. It shows us you're ready to take on new challenges.
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed! It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Endava Limited
✨Understand the Role
Before your interview, take the time to really understand what a Solution Developer with an Agentic AI focus does. Familiarise yourself with the key responsibilities and required skills mentioned in the job description. This will help you articulate how your background aligns with their needs.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've successfully tackled complex problems. Use structured approaches to explain your thought process, and be ready to discuss how you would apply similar methods in this role, especially using AI-assisted tools.
✨Communicate Clearly
Since this role involves working closely with both technical and non-technical stakeholders, practice explaining technical concepts in simple terms. Be prepared to use diagrams or workflows to illustrate your ideas during the interview, as clear communication is key.
✨Demonstrate Curiosity and Willingness to Learn
Express your genuine interest in understanding how systems and processes work. Share instances where you've taken the initiative to learn new tools or concepts, especially related to AI and low-code platforms. This shows that you're not just looking for a job, but are eager to grow within the company.