Frontier Engineer

ABOUT THE ROLE

The senior technical leader who designs the enterprise-scale AI systems behind Cognizant's most complex client transformations. Defines human-agent capability matrices, authors guardrail specifications, leads client architecture workshops, and owns the intellectual design of AI delivery at scale, cross-domain, cross-platform and cross-sector. From responsible-AI governance to regulated decisioning systems, the Distinguished Frontier Engineer sets the standard rather than meeting it, and technically leads cohorts of Frontier Engineers and Masters.

WHAT YOU WILL DO

       Design AI-native enterprise architectures and define human-agent capability matrices for delivery programmes.

       Author guardrail specifications and boundary documentation for agentic systems at enterprise scale.

       Lead client architecture review workshops and produce context-pipeline blueprints.

       Govern ADLC adoption across the portfolio; define standards for AI-generated code quality.

       Architect responsible-AI frameworks: bias detection, explainability and audit-trail design.

       Design regulated AI decisioning systems with compliance controls for relevant domains.

WHAT YOU BRING

Core skills:  AI-native enterprise architecture, Guardrail specification & responsible-AI framework design, Context-pipeline architecture at scale, ADLC delivery governance, Cross-platform AI integration strategy, AIOps orchestration architecture, Regulated AI decisioning design, Frontier-model evaluation & red-teaming, Human-agent capability modelling.

Competencies:  Enterprise AI Architecture, Responsible-AI & Guardrail Design, ADLC Governance & Standards, Technical Leadership & Advisory, AI Quality & Evaluation Design, Domain Fluency & Contextual Judgment, Business-Outcome Orientation.

ENTRY AND GROWTH

Experience:  12-22 yrs with enterprise AI architecture leadership.

Entry:  Demonstrate enterprise-scale AI architecture and responsible-AI leadership; pass the Frontier CoE assessment at Architect level.

WHAT SUCCESS LOOKS LIKE

Builds, ships and permanently owns AI-native systems end to end in a small Frontier pod, and is measured on the customer outcome the pod commits to, not on technical throughput alone.