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.