Practice - AIA - Artificial Intelligence and Analytics
Job Summary
We are seeking a senior Forward Deployed AI Engineer to architect, build, and operationalize enterprise-scale AI systems for complex client transformation programs. This role combines hands-on engineering with enterprise AI architecture, responsible AI governance, and executive-level technical advisory. The engineer will work alongside client and delivery teams to design human-agent operating models, agentic workflows, context pipelines, and regulated AI decisioning solutions. Success will be measured by sustainable customer outcomes, production adoption, and the capability transferred to client teams.
In this role, you will:
• Design and deliver AI-native enterprise architectures spanning applications, data platforms, business processes, and cloud environments.
• Build production-grade Generative AI, RAG, and agentic AI solutions, taking ownership from architecture and prototyping through deployment and operation.
• Define human-agent capability matrices, operating models, escalation paths, and human-in-the-loop controls for enterprise workflows.
• Architect context pipelines, knowledge orchestration frameworks, multi-agent systems, and cross-platform AI integrations.
• Develop guardrail specifications covering agent boundaries, tool access, data handling, autonomy, safety, and exception management.
• Establish responsible AI controls for bias detection, explainability, transparency, auditability, model risk, and regulatory compliance.
• Lead client architecture workshops, technical discovery sessions, design reviews, and executive-level solution discussions.
• Define standards for AI-generated code quality, validation, security, testing, observability, and production readiness across the AI application development lifecycle.
• Evaluate frontier models through structured benchmarking, red teaming, safety testing, and business-use-case validation.
• Mentor AI engineers and architects while developing reusable reference architectures, accelerators, playbooks, and delivery standards.
What you need to have to be considered
• 12-20 years of experience in enterprise technology, including significant leadership in AI architecture, solution architecture, or digital transformation.
• Proven experience designing and delivering enterprise-scale Generative AI, RAG, LLM, and agentic AI solutions in production environments.
• Strong hands-on software engineering experience with Java, .NET, Python, or comparable enterprise application technologies.
• Deep understanding of multi-agent architectures, context engineering, knowledge orchestration, tool use, memory, planning, and human-agent collaboration patterns.
• Experience defining responsible AI frameworks, agent guardrails, evaluation standards, audit controls, and regulated AI decisioning models.
• Strong knowledge of cloud-native AI architecture, APIs, microservices, data platforms, DevSecOps, MLOps, AIOps, and enterprise integration patterns.
• Experience evaluating frontier models, conducting AI red-team exercises, and defining AI quality, security, performance, and safety criteria.
• Demonstrated ability to lead client architecture forums and advise executive, business, risk, and technology stakeholders.
• Experience delivering AI solutions in regulated industries such as financial services, healthcare, life sciences, insurance, or government is preferred.
• Strong technical leadership, consulting, communication, stakeholder management, and business-outcome orientation.
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Applications will be accepted until 23 Oct 2026.
Salary and Other Compensation:
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
