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Sr. AI Forward Deployed Engineer/Architect (Remote)

  • Source: Cognizant
  • Cognizant
  • $100,000 to $180,000 /yr
  • Hybrid
  • New York City
  • Full-Time
  • Senior

Job Description

This position is open only to visa-independent candidates and will not support visa sponsorship now or in the future. Title : Sr. AI Forward Deployed Engineer/Architect (Remote) Job Summary We are seeking a highly accomplished AI leader to drive the design and governance of enterprise-scale AI solutions that power Cognizant’s most strategic client transformations. This role is responsible for defining AI-native enterprise architectures, designing human-agent collaboration models, and establishing responsible AI frameworks that enable scalable, secure, and compliant AI adoption across industries. As a Distinguished Frontier Engineer, you will lead the intellectual design of AI delivery programs, author governance standards and guardrails for agentic systems, and guide executive stakeholders through AI transformation journeys. You will partner with business, technology, and delivery leaders to architect next-generation AI platforms leveraging Generative AI, Agentic AI, enterprise knowledge systems, and responsible AI principles. The ideal candidate combines deep expertise in AI architecture, enterprise architecture, AI governance, and regulated decision-making systems with a strong consulting and client-facing background. Experience

7to 15 years of overall IT experience.

Minimum 3+ years in Enterprise Architecture, AI Architecture, or Digital Transformation leadership roles.

Proven experience designing and deploying enterprise-scale AI and Generative AI solutions.

Experience leading large-scale technology transformation programs across multiple business domains.

Strong experience working directly with executive stakeholders and client architecture boards. Required Skills Technical Skills

Agentic AI

Generative AI

AI Functional Architecture

Enterprise Architecture

Responsible AI

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Multi-Agent Systems

AI Governance & Compliance

Cloud-native AI Architectures

AI Platform Strategy Domain Expertise

Enterprise Digital Transformation

AI Strategy & Governance

Regulated Business Processes

Human-in-the-Loop AI Systems Nice to Have Skills

Financial Services

Healthcare & Life Sciences

Insurance

Regulatory Technology

Cloud Platforms (Azure, AWS, GCP)

AI Security & Risk Management

MLOps and AI Operations Key Responsibilities Enterprise AI Architecture

Design AI-native enterprise architectures for large transformation programs.

Define human-agent capability matrices and operating models for AI-enabled delivery.

Architect multi-agent ecosystems that integrate enterprise applications, data platforms, and business processes.

Develop scalable context engineering and knowledge orchestration frameworks. Agentic AI Governance

Define guardrails, policies, and boundary specifications for agentic AI systems.

Establish governance models for AI autonomy, decision-making, and escalation controls.

Design human oversight mechanisms for enterprise AI operations.

Create standards for AI system traceability, transparency, and auditability. Responsible AI Leadership

Architect Responsible AI frameworks covering:
Bias detection and mitigation

Explainability

Model transparency

Ethical AI adoption

Audit trail design

Ensure compliance with corporate, industry, and regulatory AI requirements. AI Delivery Excellence

Lead client architecture workshops and executive design reviews.

Govern AI-First Application Development Lifecycle (ADLC) adoption across delivery portfolios.

Define standards for AI-generated code quality, validation, and production readiness.

Drive reusable AI architecture patterns, accelerators, and playbooks across engagements. Regulated AI Decision Systems

Design AI-powered decisioning systems for regulated industries.

Define compliance controls and governance checkpoints for high-risk AI use cases.

Establish monitoring and observability frameworks for AI-driven business processes. Thought Leadership

Act as a trusted advisor to clients and internal leadership teams.

Influence AI strategy, architecture standards, and innovation roadmaps.

Mentor architects, AI engineers, and enterprise technology leaders.

Contribute to Cognizant’s AI intellectual property, frameworks, and industry best practices.

Application Accepted: 9/30/2026 The annual salary for this position is between $100,000 - $180,000 depending on exper…

Skills

  • scaleai
  • microsoft-azure
  • amazon-web-services
  • google-cloud-platform
  • guardrails

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