1. Job Title : Architect 2. Job Summary : 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. 3. Experience : 12 - 16 years 4. Required Skills : Technical Skills: Automation Agentic AI Domain Skills: 5. Nice to have skills : Domain Skills:Networks 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : Roles and 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. 9. Job Location : Primary Location :GBUKLONA07(BPGBR London UK-Bishopsgate-COG) Alternate Location :NA NA Alternate Location 1 :NA NA 10. Job Type : Architect [50OA12] 11. Demand Requires Travel? : No 12. Certifications Required : Preferred certifications include automation or AI credentials such as AWS Certified Machine Learning or equivalent enterprise automation certification.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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