At a Glance
- Tasks: Design and implement cutting-edge generative AI solutions that drive innovation.
- Company: Join Coforge, a forward-thinking tech company in London with a hybrid work culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI practices and continuous learning.
- Why this job: Be at the forefront of AI technology and make a real impact on future solutions.
- Qualifications: 7+ years in AI/ML architecture with expertise in generative AI models and cloud platforms.
The predicted salary is between 76545 - 93555 £ per year.
Work mode: Hybrid – 3 days weekly from office
Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e. g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++.
We at Coforge are looking for Senior Generative AI Architect in London, UK.
Job Description
The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives.
This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives.
The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities
- Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
- Model
Development: Lead the design, training, and deployment of generative AI models (e. g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
- Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
- Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
- Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
- Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
- Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
- Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices.
- Establish and maintain coding and architectural standards.
Experience
- Minimum of 7 years of experience in AI/ML architecture or a related role.
- Proven experience in designing and deploying generative AI models and solutions.
- Hands-on experience with AI frameworks and tools such as Tensor Flow, Py Torch, Hugging Face, etc.
- Experience with cloud platforms (e. g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
- Technical Skills: Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of machine learning algorithms, deep learning
AI Architect in London employer: Coforge
Coforge is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the tech space. Located in London, employees benefit from a vibrant city atmosphere, ample professional growth opportunities, and a commitment to cutting-edge technology, ensuring that team members are at the forefront of industry advancements. With a focus on employee development and a supportive environment, Coforge stands out as a rewarding place to build a meaningful career in data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Coforge or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Coforge.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Coforge.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Coforge that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Architect in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Coforge.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Coforge and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Coforge
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Coforge uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
