1 month ago
London, United KingdomStaff+
Responsibilities
- Design AI-native enterprise architectures and human-agent capability matrices for delivery programs.
- Author guardrail specifications and boundary documentation for enterprise-scale agentic systems.
- Lead client architecture review workshops and create context-pipeline blueprints.
- Govern ADLC adoption across the portfolio and define AI-generated code quality standards.
- Architect responsible-AI frameworks covering bias detection, explainability, and audit-trail design.
- Technically lead Frontier Engineer and Master cohorts and mentor the next generation of Frontier talent.
Requirements
- 12–20 years of experience in enterprise AI architecture leadership.
- Deep expertise in AI-native enterprise architecture and context-pipeline architecture at scale.
- Strong background in guardrail specification, responsible-AI framework design, and regulated AI decisioning.
- Experience with ADLC delivery governance and cross-platform AI integration strategy.
- Skills in frontier-model evaluation, red-teaming, AIOps orchestration architecture, and human-agent capability modeling.
- Technical leadership, client advisory, architecture workshop, AI quality, and evaluation-design capabilities.
Benefits
- Hybrid position requiring three days per week in a client or Cognizant office in London, United Kingdom.
- Wellbeing programs supporting work-life balance.
- Working arrangements may change based on project and business or client requirements.
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.