At a Glance
- Tasks: Lead AI automation architecture and design innovative cloud-native solutions.
- Company: Join a forward-thinking tech firm focused on AI and automation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a collaborative team environment.
- Why this job: Shape the future of automation with cutting-edge AI technologies.
- Qualifications: 12-16 years in solution architecture with strong AI and automation skills.
The predicted salary is between 72000 - 88000 £ per year.
Own end-to-end solution architecture for AI-enabled automation engagements moving delivery beyond traditional rule-based RPA into agentic cloud-native automation. Act as the primary technical authority and client-facing lead across engagements responsible for solution design, technical governance, and the transition of legacy automation practices toward AI-augmented delivery.
Experience: 12 - 16 years
Required Skills:
- Technical Skills: Automation, Agentic AI
- Domain Skills: Networks
Responsibilities:
- Lead architecture design for solutions spanning AI/agentic workflows, process automation, and cloud integration translating business process problems into target-state technical designs.
- Design LLM orchestration patterns, agent frameworks, and decision logic for automation use cases distinct from purely deterministic RPA flows.
- Define cloud-native architecture (Azure, AWS, GCP) for automation and AI workloads including compute, storage, networking, and security considerations.
- Set and enforce technical standards, governance, and best practices across engagements and delivery teams.
- Own operational strategy for AI systems in production including monitoring, observability, deployment governance, and model risk standards.
- Act as the primary technical point of contact with client stakeholders leading architecture reviews, solution walkthroughs, and governance boards.
- Mentor and provide technical direction to AI/Automation Engineers and Integration Architects.
- Evaluate build versus buy and tooling decisions across RPA platforms, LLM providers, and agent frameworks.
- Assess existing RPA environments and define migration paths toward AI-enabled automation.
- Own technical risk assessment and escalation for architecture decisions.
- Support pre-sales and solutioning activities requiring architecture expertise.
- Review and approve engineering designs to ensure alignment with architecture standards.
Required Skills and Experience:
- Strong solution or enterprise architecture background ideally with prior RPA/BPM experience extended into AI and agentic systems.
- Hands-on understanding of LLM orchestration, agent frameworks (e.g. LangChain Agent SDKs), and prompt/context engineering.
- Deep cloud platform experience across Azure, AWS, and GCP.
- Architecture certifications preferred.
- Experience defining governance standards for production AI systems including monitoring, risk controls, and deployment gates.
- Strong client-facing and stakeholder management skills.
- Proven technical leadership experience including design reviews and mentoring.
- Experience evaluating and selecting automation and AI platforms.
- Experience modernizing legacy automation environments.
- Strong communication skills with the ability to translate technical concepts into business language.
Job Location:
Primary Location: GBUKLONA07(BPGBR London UK-Bishopsgate-COG)
Alternate Location: NA
Job Type: Architect (50OA12)
Demand Requires Travel? No
Certifications Required:
Preferred certifications include automation or AI credentials such as AWS Certified Machine Learning or equivalent enterprise automation certification.
AI Automation Architect in London employer: Cognizant Technology Solutions Corporation
Cognizant is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Manager in Intelligent Process Automation, you'll engage in high-profile transformation programmes while benefiting from a culture that prioritises consulting excellence and continuous learning. With clear career progression pathways, competitive compensation, and flexible hybrid working arrangements, Cognizant empowers its employees to grow and succeed in their careers.
Contact Details:
Cognizant Technology Solutions Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Architect in London
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We think you need these skills to ace AI Automation 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 Cognizant Technology Solutions Corporation.
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How to prepare for a job interview at Cognizant Technology Solutions Corporation
✨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 Cognizant Technology Solutions Corporation 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.
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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.
