At a Glance
- Tasks: Lead transformative AI initiatives and drive architecture strategy in banking and fintech.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, diverse work culture, and opportunities for continuous learning.
- Other info: Collaborate with top industry leaders and enjoy a dynamic, cross-cultural team environment.
- Why this job: Make a real impact by shaping the future of AI in global enterprises.
- Qualifications: 20+ years in IT with strong experience in AI, data, and enterprise architecture.
The predicted salary is between 80000 - 100000 £ per year.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots. Our team of Power Programmers works on complex projects and builds solutions to solve some of the world's most challenging business problems.
Infosys is looking for a Senior Enterprise Architect with deep BFSI experience to lead client-facing transformation engagements and drive architecture strategy across banking and fintech domains. As part of Infosys’ Strategic Technology Group, you will be responsible for defining, taking to the market and growing next generation Artificial Intelligence Strategy and Consulting Service line.
You will work with internal and external stakeholders to deliver AI initiatives for leading global organizations worldwide. You will identify technology big bets in AI space, develop reusable solutions around them, lead solution prototypes and proactively take it to the market. You will be responsible for defining GTM (Go to Market) strategy, demand generation and growth of this service line.
You will help to enable the team and to develop point of views, thought leadership content on AI technology trends influencing enterprises. You will also network and collaborate with IT and Business Leaders such as CTO, CDOs of client organizations. To carry this responsibility, it requires a seasoned mix of business acumen, AI and data technology experience, and an entrepreneur’s spirit.
Qualification
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 20 years of Information Technology experience, with at least 5 years’ experience in Technology Consulting in one or more areas like Digital, Cloud, Gen AI or Enterprise Architecture across multiple layers of technologies including Application, Data, Infrastructure, hyper scalers etc.
- In depth experience in architecture and delivery of programs in data, analytics, ML and AI technologies.
- Should have very good understanding and exposure to the products and models relevant to data, analytics and AI space.
- Prior Experience in software development, Architecture and Design of large enterprise systems.
- Should have experience and expertise in following technologies: Java, Python, Data engineering, Data and Database engineering, Agentic AI, Gen AI, Machine Learning, Generative AI, Scripting, Spark, Hadoop, SQL, NoSQL, PyTorch and one of the cloud technologies like AWS, Azure or GCP.
- Should have worked in at least two or more industry domains.
- Should have very good communication and articulation skills (verbal and written).
- Should have personally led and delivered one or more digital or cloud or data or AI transformation program successfully with tangible business outcomes.
- Should have led a team of architects as part of large programs and provided guidance, coaching and mentoring to ensure tech quality of the program is met.
- Should be able to work as part of a cross-cultural global team.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
- Preferred to have completed industry standard certifications in cloud, data, analytics and AI (AWS, GCP, Azure), Enterprise Architecture certifications like TOGAF etc.
Enterprise Architecture Consultant in England employer: Infosys
Infosys is an exceptional employer that fosters a culture of innovation and continuous learning, making it an ideal place for professionals in the technology consulting space. With a strong focus on employee growth, Infosys offers extensive training opportunities and encourages collaboration across diverse teams, allowing you to work on cutting-edge AI initiatives that drive meaningful change in the banking and fintech sectors. Located in a dynamic environment, you will be part of a global leader that values diversity and inclusion, ensuring that every voice is heard and every idea is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Architecture Consultant in England
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We recommend practising common interview questions and tailoring your answers to highlight your experience in AI and enterprise architecture. Show them you’re the perfect fit!
✨Tip Number 3
Don’t just wait for job postings to come to you. Reach out directly to companies you admire, like Infosys, and express your interest. A proactive approach can set you apart from the crowd and show your enthusiasm.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Enterprise Architecture Consultant in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Enterprise Architecture Consultant role. Highlight your experience in AI, data technologies, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don't forget to mention specific experiences that relate to the job description.
Showcase Your Communication Skills:Since this role involves interacting with CxOs and other stakeholders, it's crucial to demonstrate your communication skills. Use clear and concise language in your application, and make sure to articulate your thoughts well.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Infosys
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, data technologies, and enterprise architecture. Be ready to discuss specific projects you've worked on, especially in the BFSI sector. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves leading transformation engagements, be prepared to share examples of how you've successfully led teams or projects in the past. Highlight your ability to mentor others and drive results, as this will resonate well with the interviewers.
✨Communicate Clearly
Practice articulating complex technical concepts in a way that's easy to understand. You’ll likely be interacting with CxOs and non-IT stakeholders, so being able to adjust your communication style is key. Consider doing mock interviews to refine this skill.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about challenges you've encountered in previous roles and how you overcame them, particularly in relation to AI adoption or cloud strategies. This will demonstrate your critical thinking and adaptability.