CO
Full time
🤖 AI / ML
Responsible AI Engineer at Cognizant
Listed by DevShelfHub
Chennai, Bangalore, or Hyderabad, India
Hybrid
Mid-level · 2–5 yrs
About the Role
As enterprises scale agentic AI and LLM deployments, demand for engineers who can build trust, safety, and governance into production systems continues to grow. Cognizant is hiring a Responsible AI Engineer to engineer the trust, safety, and governance layer for agentic AI systems deployed at enterprise scale.
What you'll do
- Design and implement runtime guardrails and safety architectures for LLM and agentic AI systems, including input/output controls, prompt injection detection, and policy enforcement mechanisms
- Lead red-teaming and adversarial testing initiatives to identify vulnerabilities such as jailbreaks, prompt injections, and trust boundary violations before production deployment
- Build and operationalize AI governance and compliance frameworks, translating regulations (e.g., EU AI Act, NIST AI RMF) into enforceable engineering controls
- Develop and deploy fairness, bias, and model evaluation pipelines, including hallucination detection, groundedness validation, and subgroup performance analysis
- Establish observability and auditability for AI systems through structured logging, audit trails, governance metrics, and incident response processes
What we're looking for
- Experience in software engineering or ML engineering, with hands-on exposure to AI safety, governance, or trust engineering
- Proven experience building and deploying LLM or agentic AI systems in enterprise or regulated environments
- Strong expertise in at least two of: guardrails engineering, red teaming, bias/fairness evaluation, AI regulatory compliance
- Working knowledge of AI regulatory frameworks such as EU AI Act, NIST AI RMF, ISO/IEC 42001, or sector-specific compliance standards
Skills & Technologies
Required
Experience in software engineering or ML engineering, with hands-on exposure to AI safety, governance, or trust engineering
Proven experience building and deploying LLM or agentic AI systems in enterprise or regulated environments
Strong expertise in at least two of: guardrails engineering, red teaming, bias/fairness evaluation, AI regulatory compliance
Working knowledge of AI regulatory frameworks such as EU AI Act, NIST AI RMF, ISO/IEC 42001, or sector-specific compliance standards
Strong Python programming skills, with experience building evaluation pipelines, observability systems, or AI governance tooling
Ability to collaborate with security, legal, and risk stakeholders
Excellent communication and executive-level presentation skills
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers the chance to work at the intersection of AI engineering, security, and regulatory compliance in enterprise environments.
- Design and implement runtime guardrails and safety architectures for LLM and agentic AI systems
- Lead red-teaming and adversarial testing initiatives before production deployment
- Build and operationalize AI governance and compliance frameworks aligned with regulations like EU AI Act and NIST AI RMF
- Develop fairness, bias, and model evaluation pipelines including hallucination detection
- Establish observability and auditability for AI systems through structured logging and incident response
- Collaborate with AI engineers, architects, risk teams, and client stakeholders
- Work on enterprise-scale agentic AI systems in regulated environments
- Apply strong Python skills to build evaluation pipelines and AI governance tooling
- Present technical AI risks and insights to senior client stakeholders
- Gain exposure to enterprise AI tooling such as NeMo Guardrails, Giskard, Arize, and LangChain/LangGraph
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 clients. The company brings deep industry, process, and engineering expertise to build technology systems that amplify human potential and drive tangible outcomes for global enterprises.
- Industry
- Technology
- Company Size
- 500+
- Website
- cognizant.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–5 years
- Location
- Chennai, Bangalore, or Hyderabad, India
- Work Mode
- Hybrid
- Category
- AI / ML
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