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For Companies At a Glance
- Tasks: Lead the design of innovative AI/ML and full stack solutions for digital transformation.
- Company: Join a forward-thinking tech company driving cloud and AI advancements.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of technology while collaborating with top industry experts.
- Qualifications: 12+ years in IT, strong full stack and AI/ML experience required.
- Other info: Exciting role with potential for significant career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Enterprise Architect will define and govern end-to-end enterprise architecture for full stack and AI/ML platforms. This role drives digital modernization, cloud transformation, and scalable AI-enabled solutions while partnering closely with business and engineering leadership.
Responsibilities
- Enterprise Architecture And Strategy
- Define end-to-end architecture for full stack and AI/ML systems across Client, data management, model development, deployment, and operations.
- Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms.
- Drive digital modernization and cloud transformation initiatives aligned with business goals.
- Evaluate emerging technologies including AI/ML, DevOps, MLOps, and cloud platforms to accelerate enterprise innovation.
- AI/ML Solution Architecture
- Architect scalable ML pipelines, automated workflows, CI/CD pipelines, MLOps frameworks covering data ingestion, feature engineering, model development, evaluation, deployment, and monitoring.
- Collaborate with data scientists, ML engineers, and analytics engineers to operationalize AI/ML models at scale.
- Ensure governance, compliance, versioning, reproducibility, and monitoring of AI/ML systems.
- Full Stack And Platform Architecture
- Design and review enterprise applications across backend, frontend, cloud APIs, and microservices.
- Lead architecture for full stack development teams including frontend, middleware, data APIs, microservices, and cloud-native services.
- Guide teams on performance optimization, caching strategies, distributed systems, and containerized deployments using Docker and Kubernetes.
- Oversee API-first integration patterns, event-driven designs, and asynchronous architectures.
- Cloud And DevOps/MLOps Integration
- Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP ensuring interoperability and vendor-neutral design.
- Lead cloud automation, DevOps pipelines, infrastructure as code, and observability tooling.
- Implement secure and scalable API management and enterprise connectivity models.
- Stakeholder Leadership And Governance
- Partner with business leaders to translate business objectives into technical roadmaps.
- Mentor engineering teams and promote best practices in coding, security, scalability, and architectural rigor.
- Facilitate architecture review boards, technical audits, and solution governance activities.
Requirement/Must Have
- Strong background in full stack engineering including Java, Node.js, Python, Angular or React, REST APIs, microservices, and event-driven architecture.
- Hands-on experience with AI/ML frameworks such as TensorFlow, Scikit-learn, and MLlib.
- Deep knowledge of cloud platforms including AWS, Azure, and GCP.
- Strong experience with containers, Kubernetes, serverless architectures, and distributed systems.
- Expertise in CI/CD pipelines, DevOps, MLOps, and infrastructure as code using Terraform or CloudFormation.
Experience
- 12+ years of overall IT experience.
- 5-7+ years of experience in solution or enterprise architecture roles.
- Proven delivery of large-scale enterprise platforms with AI/ML components.
- Experience leading global, cross-functional, and multi-disciplinary teams.
Skills
- Full stack architecture and engineering.
- AI/ML platform design and MLOps.
- Cloud and hybrid architecture.
- Data engineering and real-time data platforms.
- DevOps, CI/CD, and automation.
Should Have
- TOGAF certification.
- Cloud architect certifications.
- AI/ML specialization certifications.
- Experience with enterprise-scale MLOps and federated data science operations.
- Background in regulated industries such as finance, healthcare, or telecom.
Qualification And Education
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
Enterprise Architect in Richmond employer: Cynet systems Inc
Contact Detail:
Cynet systems Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Architect in Richmond
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Enterprise Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML and cloud solutions. We want to see how you’ve tackled real-world problems and implemented scalable architectures.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to full stack engineering and enterprise architecture to boost your confidence.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise Architect in Richmond
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Enterprise Architect role. Highlight your background in full stack engineering, AI/ML frameworks, and cloud platforms to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven digital modernization or cloud transformation in previous positions.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with Java, Python, Kubernetes, and any relevant certifications. We love seeing candidates who are hands-on with the latest technologies.
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!
How to prepare for a job interview at Cynet systems Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Python, and AI/ML frameworks. Brush up on your knowledge of cloud platforms such as AWS, Azure, and GCP, as well as CI/CD pipelines and MLOps. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Architectural Skills
Prepare to discuss your experience with enterprise architecture principles and how you've applied them in past roles. Be ready to share specific examples of how you've driven digital transformation or cloud initiatives. This will demonstrate your ability to lead and govern architecture effectively.
✨Collaborate Like a Pro
Since this role involves working closely with business and engineering teams, think of examples where you've successfully collaborated across disciplines. Highlight your mentoring experiences and how you've promoted best practices in coding and architectural rigor. This will show your leadership potential.
✨Stay Current with Emerging Technologies
Familiarise yourself with the latest trends in AI/ML, DevOps, and cloud solutions. Be prepared to discuss how you evaluate and implement new technologies to drive innovation. Showing that you’re proactive about learning will impress interviewers and align with their goals for enterprise innovation.
