At a Glance
- Tasks: Lead AI consultancy projects and deliver innovative solutions for clients.
- Company: Join Baringa Partners, a forward-thinking consultancy with a people-first culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and personal development.
- Why this job: Make a real impact by bringing AI solutions to life in diverse industries.
- Qualifications: 7+ years in tech consulting or AI/ML, with strong leadership skills.
The predicted salary is between 80000 - 100000 € per year.
hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients’ teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands‑on delivery leadership — and who has a genuine passion for bringing AI solutions to production at scale. Our SAIL practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions.
What You Will Be Doing
- Engagement Leadership
- Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes.
- Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development.
- Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners.
- Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout.
- Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation.
- Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead.
- Business Development & Bid Support
- Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements.
- Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs.
- Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow‑on engagement.
- Support practice‑level growth initiatives, including account planning, capability development, and go‑to‑market positioning for AI and solutions engineering services.
- Technical Architecture & Delivery
- Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities.
- Provide hands‑on technical direction where required — reviewing designs, code and delivery artefacts to maintain quality standards across the engagement.
- Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof‑of‑concept thinking to real business impact at scale.
- Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record.
- AI/ML Specialism
- You will bring expert‑level knowledge in at least one of the following domains, and working knowledge across the others.
- Agentic AI & LLM Engineering Design and build production‑grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM‑powered systems; current knowledge of the latest model capabilities and AI product stacks.
- Machine Learning Engineering End‑to‑end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit‑learn, PyTorch, XGBoost) and cloud‑native ML services (SageMaker, Azure ML, Vertex AI).
- Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event‑driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud‑native application patterns and release practices.
- Software Engineering Production‑grade Python services (FastAPI, AWS Lambda, event‑driven patterns) and front‑end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade‑offs – relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security‑conscious development.
A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself.
Your Skills And Experience
- 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end‑to‑end engagement delivery, resourcing and commercial outcomes.
- Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs.
- SME‑level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains.
- Proven ability to build and lead high‑performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level.
- Clear, confident communicator – able to make the complex accessible for technical and non‑technical audiences alike, and to represent Baringa’s expertise with credibility.
- Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer).
- Desirable: prior experience as a forward‑deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people‑first culture that values both technical rigour and human connection we would love to hear from you.
Forward Deployed AI Engineer, Senior Manager in London employer: hackajob
Baringa Partners is an exceptional employer that fosters a collaborative, people-first culture where technical excellence meets human connection. As a Senior Manager in the Forward Deployed AI Engineer role, you will have the opportunity to lead impactful AI and technology engagements while benefiting from extensive professional development and mentorship opportunities. Located in a vibrant environment, Baringa offers a unique blend of innovation and support, empowering you to drive meaningful change for clients across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer, Senior Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to AI and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you would lead a team or tackle a complex project. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform. Let’s get you that dream job!
We think you need these skills to ace Forward Deployed AI Engineer, Senior Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Forward Deployed AI Engineer role. Highlight your relevant experience in AI, technology consulting, and leadership to show us you’re the perfect fit!
Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Whether it’s AI/ML, cloud engineering, or software development, we want to see how your skills align with what we do at StudySmarter.
Communicate Clearly:Remember, clarity is key! Use straightforward language to explain complex concepts, as if you’re talking to someone who isn’t a techie. This will help us see how well you can bridge the gap between technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML frameworks, especially those mentioned in the job description. Be ready to discuss your experience with specific technologies like scikit-learn or AWS services, and how you've applied them in real-world scenarios.
✨Showcase Leadership Skills
Since this role involves leading teams, prepare examples that highlight your leadership experience. Think about times when you managed multi-disciplinary teams or mentored junior practitioners, and be ready to share how you navigated challenges in complex stakeholder environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical teams and senior client stakeholders, so think of ways to translate your technical expertise into actionable insights that anyone can understand.
✨Prepare for Business Development Questions
Expect questions around business development and client engagement. Be ready to discuss how you've identified new opportunities or contributed to bids and proposals in the past. Highlight your ability to build strong client relationships and act as a trusted advisor.
