At a Glance
- Tasks: Lead the design and scaling of AI agents to enhance services across the Ministry of Justice.
- Company: Join a forward-thinking government agency focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact by driving AI innovation in public services.
- Qualifications: Experience with AI technologies and strong communication skills are essential.
The predicted salary is between 70100 - 100000 £ per year.
Overview
The AI Agent Enablement Lead will drive the design, development and scaling of AI agents across the Ministry of Justice and its agencies.
The role will help teams identify opportunities to automate, augment and improve services through AI‑powered agents, assistants and workflows.
Working across business, operational, digital and data teams, the post holder will support the development, deployment, governance and adoption of agent‑based solutions built on platforms such as Microsoft Copilot, Copilot Studio, Azure AI Foundry, Open AI GPTs, Claude and future AI technologies.
The role combines strategic leadership with hands‑on support to ensure AI agents deliver measurable value while meeting security, governance and ethical standards.
Responsibilities
- Lead the adoption and integration of AI agents across the Ministry of Justice workforce.
- Support business areas in identifying high‑value use cases for AI agents and workflow automation.
- Provide hands‑on support to teams creating and deploying AI agents, custom GPTs, Copilot agents and other AI‑powered solutions.
- Develop reusable patterns, templates, prompts and governance frameworks to accelerate safe agent development.
- Collaborate with digital, data science, product and operational teams to develop scalable AI solutions.
- Establish best practices for agent design, evaluation, monitoring and continuous improvement.
- Build strong relationships with internal and external stakeholders to promote AI innovation and secure buy‑in.
- Provide expert guidance on responsible AI, governance, risk management and compliance requirements.
- Monitor adoption, user satisfaction, productivity gains and business outcomes to demonstrate impact and ROI.
- Keep abreast of developments across the AI ecosystem, including Microsoft, Open AI, Anthropic, Google and emerging agent frameworks.
Qualifications
- Hands‑on experience designing, configuring, prototyping or supporting the deployment of AI assistants, agents, copilots, custom GPTs or workflow automation solutions using no‑code, low‑code or similar agent‑building platforms.
- Experience leading digital transformation, innovation or AI adoption programmes.
- Strong understanding of business process improvement and organisational change.
- Practical experience with generative AI technologies and large language models.
- Ability to translate business challenges into practical AI‑enabled solutions.
- Excellent stakeholder management and communication skills.
- Strong analytical skills with the ability to measure and communicate value and outcomes.
- Ability to work across technical and non‑technical teams.
- A proactive approach to learning and upskilling, with curiosity and willingness to develop technical skills in emerging AI tools and platforms (including coding).
Desirable Skills and Experience
- Experience with Microsoft Copilot, Copilot Studio, Azure AI Foundry, Power Platform or related Microsoft AI technologies.
- Experience with Open AI GPTs, Assistants, APIs, Claude Projects, Claude Artifacts or similar platforms.
- Experience using APIs, scripting or programming languages such as Python to prototype or integrate AI‑enabled solutions.
- Knowledge of agent orchestration, prompt engineering, retrieval‑augmented generation (RAG) and AI evaluation techniques.
- Experience delivering AI capability‑building, learning or upskilling programmes.
- Understanding of responsible AI principles, governance frameworks and public sector compliance requirements.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Digital Product Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LanceSoft Inc!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Digital Product Manager at LanceSoft Inc.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LanceSoft Inc.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Product Manager at LanceSoft Inc, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Product Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LanceSoft Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LanceSoft Inc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LanceSoft Inc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LanceSoft Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.