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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.
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Experience
12 - 16 years
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Required Skills
Technical Skills: Automation Agentic AI Domain Skills:
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Nice to have skills
Domain Skills:Networks
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Shift
Day
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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.
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Job Location
Primary Location :GBUKLONA07(BPGBR London UK-Bishopsgate-COG) Alternate Location :NA NA Alternate Location 1 :NA NA
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Job Type
Architect [50OA12]
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Demand Requires Travel?
No
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Certifications Required
Preferred certifications include automation or AI credentials such as AWS Certified Machine Learning or equivalent enterprise automation certification.
AI Automation Architect 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
