At a Glance
- Tasks: Lead AI solutions delivery, combining technical expertise with leadership skills.
- Company: Global consulting firm driving change and creating value.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Encourages diverse applicants and offers an inclusive recruitment process.
- Why this job: Make a real impact in AI while working with industry leaders.
- Qualifications: 1-5 years in tech consulting or AI/ML, with strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
About Baringa
Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise and advanced technology, the firm helps clients to deliver with greater confidence and certainty.
Job Role
Forward Deployed AI & Solutions Engineer – lead delivery of AI‑enabled solutions embedded in clients’ teams, combining deep technical specialism with commercial and leadership skills.
What You Will Be Doing
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end‑to‑end, from shaping the opportunity and winning work to delivery governance and team leadership. You will bring SME‑level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering and apply it to create real, lasting value for our clients.
AI/ML Specialism
- 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 (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. Passion for AI solutions and ability to operationalise them at scale.
Your Skills And Experience
- 1‑5 years in technology consulting, software engineering or AI/ML.
- SME‑level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering.
- Clear, confident communicator – able to make complex ideas accessible for technical and non‑technical audiences.
- Master’s degree in Computer Science, Engineering, Mathematics, Data Science or equivalent, or equivalent professional certifications.
- 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.
Join us
All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed.
Senior Consultant, Forward Deployed AI Engineer employer: Baringa
Baringa is an exceptional employer that fosters a collaborative and inclusive work culture, empowering its employees to lead impactful AI-driven projects within client teams. With a strong focus on professional development, Baringa offers extensive growth opportunities in technology consulting, ensuring that team members can enhance their skills while contributing to meaningful change across various industries. Located in a vibrant environment, the firm champions diversity and innovation, making it an ideal place for those passionate about advancing their careers in AI and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, Forward Deployed AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and consulting. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Senior Consultant, Forward Deployed AI Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in AI/ML, software engineering, or platform engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements and relevant projects!
Tailor Your Application:Take a moment to customise your application for the Senior Consultant role. Use keywords from the job description and relate your experience directly to what we’re looking for. This shows us you’ve done your homework and are genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that make it easy for us to understand your qualifications and experiences. Avoid jargon unless it’s relevant to the role!
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’s super easy to do!
How to prepare for a job interview at Baringa
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML engineering, especially around agentic systems and LLM frameworks. Be ready to discuss specific projects you've worked on and how you applied your technical skills to solve real-world problems.
✨Showcase Your Leadership Skills
As a Senior Consultant, you'll need to demonstrate your ability to lead teams and manage client relationships. Prepare examples of how you've successfully led projects in the past, focusing on your communication style and how you made complex ideas accessible to different audiences.
✨Understand the Client's Industry
Familiarise yourself with the industries Baringa works with, such as energy and financial services. Being able to speak knowledgeably about industry challenges and how AI solutions can address them will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions related to cloud engineering, software development, and machine learning frameworks. Brush up on your knowledge of tools like AWS, Azure, and Python, and be ready to explain your thought process when tackling technical challenges.
