At a Glance
- Tasks: Lead AI strategy and implement innovative solutions for diverse industries.
- Company: Join DataArt's cutting-edge AI Lab, driving transformation through technology.
- Benefits: Enjoy health insurance, vacation, and a vibrant work culture with social events.
- Other info: Dynamic environment with opportunities for professional growth and innovation.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: 3-5+ years in AI or digital transformation with strong consulting skills.
The predicted salary is between 150000 - 190000 £ per year.
DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support a range of initiatives focused on AI‑driven transformation. The role involves close collaboration with AI Lab leadership and cross‑functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries.
DataArt’s AI Lab helps organizations turn AI from experimentation into transformation — with practical, scalable solutions that drive real business outcomes. We combine strategic advisory, deep engineering, and reusable delivery accelerators through our Connect AI framework to enable smarter operations, faster decision‑making, and sustainable growth. As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co‑building pilots and reusable solution patterns. You’ll work across industries and functions, applying GenAI, data science, and modern cloud‑native architectures to solve complex, high‑impact challenges. This role blends strategic thinking with hands‑on execution, and offers the opportunity to shape how AI is delivered at scale.
The estimated salary range for this position is from $190,000 per year.
Responsibilities- Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model.
- Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross‑client value.
- Translate complex AI capabilities into business impact, working closely with CxO‑level stakeholders to prioritize initiatives and quantify ROI.
- Design and facilitate client workshops to align on goals, surface high‑impact use cases, and assess AI maturity across technical, organizational, and data dimensions.
- Contribute to DataArt’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go‑to‑market relevance.
- 3–5+ years in AI, digital transformation, or strategy consulting, ideally in client‑facing roles within tech‑driven or innovation‑led engagements.
- Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization.
- Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive‑level business value.
- Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP‑backed consulting models.
- Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions.
- Solid understanding of technical principles and architecture of ML/LLM applications and AI agents.
- Hands‑on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings.
- Strong communication skills and effective stakeholder management.
- Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- Exposure to AI monetization models, including usage‑based pricing, enablement fees, or outcome‑driven commercial constructs.
- Vacation as per the laws of your country. We do ask you to take a proper rest.
- Health insurance to help you take out an insurance policy for you and your loved ones.
- Pleasant environment with two large corporate parties and many small get‑togethers for colleagues.
- Comfort service for solving technical and everyday problems at work.
- The benefits package may vary depending on the region and the type of contract.
Senior AI Consultant employer: DataArt Solutions, Inc
DataArt is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead AI-driven transformations across various industries. With a strong focus on professional growth, our collaborative culture fosters continuous learning and development, while our comprehensive benefits package ensures that you and your loved ones are well taken care of. Join us in shaping the future of AI solutions and enjoy the unique advantages of working in a forward-thinking team dedicated to making a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Senior AI Consultant role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your projects, case studies, and any AI solutions you've implemented. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Be ready to discuss how you've driven AI transformation in past roles and how you can do it at DataArt. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let's get you that Senior AI Consultant position!
We think you need these skills to ace Senior AI Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Consultant role. Highlight your experience in AI, digital transformation, and strategy consulting. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven transformation and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any AI projects or initiatives, be sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to drive innovation and deliver business value.
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 you’re keen on joining our team!
How to prepare for a job interview at DataArt Solutions, Inc
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and how they apply to business. Be ready to discuss specific AI strategies you've implemented in the past and how they drove measurable outcomes. This will show that you’re not just familiar with the concepts but can also translate them into real-world applications.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with different stakeholders. Highlight your experience in leading workshops or discussions that align goals and surface high-impact use cases.
✨Prepare for Technical Questions
Expect to dive deep into technical principles and architectures related to AI and ML. Brush up on your knowledge of cloud platforms like AWS, GCP, or Azure, and be ready to discuss how you've used their AI/ML services in previous projects.
✨Quantify Your Impact
When discussing your past experiences, focus on quantifying your contributions. Use metrics to illustrate how your AI strategies improved productivity or drove innovation. This will resonate well with the interviewers, especially when talking to CxO-level stakeholders.