At a Glance
- Tasks: Lead AI and tech consulting projects, ensuring quality and client satisfaction.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to shape the future of AI solutions.
- Why this job: Make a real impact in AI while leading talented teams and solving complex challenges.
- Qualifications: 7+ years in tech consulting with strong leadership and AI expertise.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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.
- (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.
- 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).
- You will bring expert‑level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, Software Engineering.
What the job involves
- 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.
- 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.
- 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.
- 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.
Forward Deployed AI Engineer / Senior Manager in London employer: Deepstreamtech
Baringa is an exceptional employer for Forward Deployed AI Engineers and Senior Managers, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development through mentoring and hands-on experience in cutting-edge AI technologies. Located in a vibrant area, our team enjoys a supportive environment that values clear communication and the pursuit of excellence, making it an ideal place for those looking to make a meaningful impact in the tech industry.
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 folks in the industry. Attend meetups, webinars, or conferences related to AI and technology consulting. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your projects, especially those involving AI/ML or software engineering. This is your chance to demonstrate your skills and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage with both technical and non-technical audiences. Remember, clarity is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with the role, and let your passion for AI solutions shine through.
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 to highlight your experience in technology consulting and AI/ML. We want to see how your background aligns with the specific requirements of the role, so don’t hold back on showcasing your relevant skills!
Showcase Leadership Experience:Since this role involves senior leadership, it’s crucial to emphasise your experience in leading teams and managing complex projects. Share examples that demonstrate your ability to deliver results and build high-performing teams – we love a good success story!
Communicate Clearly:Remember, you’ll need to communicate complex ideas to both technical and non-technical audiences. Use clear and concise language in your application to show us you can make the complex accessible. This is your chance to shine as a confident communicator!
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’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially in AI/ML and software engineering. Be ready to discuss your experience in leading complex projects and how you've tackled challenges in previous roles. This is your chance to showcase your expertise!
✨Showcase Leadership Skills
Prepare examples that highlight your leadership abilities. Think about times when you built high-performing teams or managed complex stakeholder environments. Being able to articulate your approach to team development and engagement resourcing will impress the interviewers.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with both technical teams and senior stakeholders. Use examples from your past where you successfully translated technical jargon into actionable insights.
✨Engage with Business Development
Be ready to discuss your experience with bids and proposals. Highlight any contributions you've made to proposal writing or business development initiatives. Showing that you understand the commercial side of technology consulting will set you apart from other candidates.
