At a Glance
- Tasks: Design and deliver enterprise-scale AI and MLOps solutions that drive real business impact.
- Company: Wipro, a leader in innovative AI solutions with a focus on collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team to shape the future of AI and make a difference.
- Qualifications: Deep technical expertise in AI/ML and strong strategic advisory skills.
The predicted salary is between 80000 - 100000 £ per year.
Wipro brings a Principal AI/ML Solutions Architect to partner with your organisation in designing and delivering enterprise-scale AI, MLOps, and Generative AI platforms. This role combines deep technical expertise with strategic advisory capability, ensuring your AI investments move beyond experimentation into production-grade, scalable, and business-impacting solutions.
What This Role Delivers
- AI Strategy to Execution
- Define AI/ML and GenAI roadmaps aligned to business priorities
- Translate use cases into scalable, production-ready architectures
- Provide C-suite advisory on AI adoption, governance, and operating models
- Design and implement cloud-native MLOps platforms across AWS, Azure, and GCP
- Build secure, automated CI/CD pipelines for model deployment at scale
- Generative AI & LLM Enablement
- Deploy GenAI solutions including RAG architectures and enterprise knowledge systems
- Build agentic AI workflows for automation and decision intelligence
- Ensure responsible AI, explainability, and governance by design
- Implement real-time and batch data pipelines (Kafka, Spark, Airflow)
- Enable advanced feature engineering and predictive analytics
- Support streaming inference and operational AI use cases
- Scaled Delivery & Transformation
- Lead multi-disciplinary AI teams across engineering, data science, and DevOps
- Deliver production-grade AI solutions in complex, regulated environments
- Accelerate outcomes using pre-built frameworks and accelerators
- AI/ML Engineering: TensorFlow, PyTorch, XGBoost, transformer architectures
- Data Platforms: Spark, Kafka, Snowflake, Airflow
- Responsible AI: Explainability (SHAP), model governance frameworks
Business Impact
- Accelerated AI adoption from PoC to production
- Reduced time-to-market for ML use cases
- Improved model reliability, governance, and compliance
- Enabled scalable GenAI capabilities across the enterprise
- Delivered measurable ROI through AI-driven decisioning
- Scaling MLOps / LLMOps capabilities
- Implementing GenAI-driven knowledge and automation platforms
- Driving AI-led transformation across business units
Enterprise AI Architect: GenAI, MLOps & Strategy employer: Wipro
Wipro is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals in the AI and MLOps space. With a strong focus on employee growth, Wipro offers extensive training and development opportunities, ensuring that team members can advance their careers while working on cutting-edge technologies. Located in a vibrant tech hub, employees benefit from a dynamic work environment that encourages creativity and impactful contributions to enterprise-scale AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Architect: GenAI, MLOps & Strategy
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend relevant meetups or webinars. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects related to AI, MLOps, and Generative AI. This gives potential employers a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions in the AI and MLOps space. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your expertise.
✨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.
We think you need these skills to ace Enterprise AI Architect: GenAI, MLOps & Strategy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Enterprise AI Architect. Highlight your experience with AI, MLOps, and Generative AI, and don’t forget to mention any relevant projects that showcase your skills in building scalable solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your strategic advisory capabilities and how you've successfully led AI teams in the past. Keep it engaging and personal!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific tools and technologies you’ve worked with, like TensorFlow, PyTorch, or cloud platforms like AWS and Azure. This will help us understand your hands-on experience.
Apply Through Our Website:Don’t forget to apply 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 at StudySmarter!
How to prepare for a job interview at Wipro
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI trends, especially around Generative AI and MLOps. Brush up on your knowledge of TensorFlow, PyTorch, and the various cloud platforms like AWS, Azure, and GCP. Being able to discuss these technologies confidently will show that you’re not just familiar with them, but that you can leverage them effectively.
✨Prepare Real-World Use Cases
Think of specific examples where you've successfully implemented AI solutions or led projects that align with the job description. Be ready to explain how you translated business needs into scalable architectures and the impact your work had on the organisation. This will demonstrate your ability to deliver production-grade solutions.
✨Showcase Your Strategic Thinking
This role requires a blend of technical expertise and strategic advisory skills. Prepare to discuss how you’ve advised C-suite executives on AI adoption and governance. Highlight your experience in defining AI roadmaps and how you’ve ensured that AI investments align with business priorities.
✨Emphasise Collaboration and Leadership
As this position involves leading multi-disciplinary teams, be ready to talk about your leadership style and how you foster collaboration among engineers, data scientists, and DevOps professionals. Share examples of how you’ve driven transformation across business units and accelerated outcomes using pre-built frameworks.
