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Google ADK Architect

Cognizant

Irving, TX · HybridJob$102–155K/yrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$102–155K/yr
Location
Irving, TXHybrid
Work Authorization
Not specified

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Job overview

The Google ADK Architect will define enterprise AI agent platforms, multi-agent ecosystems, and Generative AI architectures. The role provides architecture, engineering, governance, and delivery leadership for strategic AI initiatives, including technical governance, team leadership, engineering standards, and production readiness. The position is hybrid, requiring three days per week in a client or Cognizant office in Irving, Texas, or Newark, New Jersey.

Skills & qualifications

RequiredNice to have

Skills

Google ADKVertex AIGenerative AI ArchitecturesMulti-Agent SystemsGoogle CloudPythonCloud-Native ArchitecturesCI/CDContainerizationDevOpsEngineering LeadershipTransformation ManagementAI GovernanceEvaluation FrameworksObservabilityProduction OperationsLangGraphCrewAIAutoGenMCPA2AReusable Agent FrameworksEngineering StandardsAI InnovationProof-of-ConceptsCapability Building

Qualifications

12+ Years Software Engineering Experience5+ Years AI/ML Leadership Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Parental Leave

Full job description

About the role

As an Google ADK Architect, you will make an impact by defining and driving enterprise AI agent platforms, multi-agent ecosystems, and Generative AI architectures. You will provide architecture, engineering, governance, and delivery leadership for strategic AI initiatives.

In this role, you will:

  • Define and drive the enterprise roadmap and reference architectures for AI agent platforms and multi-agent ecosystems using Google ADK, Vertex AI, LangGraph, CrewAI, AutoGen, and related orchestration frameworks.

  • Provide technical governance for large-scale agentic AI implementations and evaluate emerging AI agent technologies, frameworks, and protocols, including MCP and A2A communication standards.

  • Lead AI agent development teams and strategic programs, driving platform scalability, security, resiliency, operational excellence, architecture reviews, and production readiness.

  • Establish engineering standards, development lifecycle practices, observability frameworks, deployment patterns, reusable agent frameworks, accelerators, and governance models.

  • Collaborate with executive stakeholders to align AI initiatives with business objectives while sponsoring innovation, proof-of-concepts, capability-building programs, and adherence to responsible AI, compliance, and security requirements.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Irving, TX or Newark, NJ . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • 12+ years of software engineering experience, including 5+ years in AI/ML leadership roles.

  • Expert knowledge of Google ADK, Vertex AI, Generative AI architectures, and multi-agent systems.

  • Extensive experience designing enterprise-scale AI platforms on Google Cloud.

  • Strong expertise in Python, cloud-native architectures, CI/CD, containerization, and DevOps practices.

  • Experience leading large engineering teams and managing complex transformation initiatives.

These will help you stand out

  • Deep understanding of AI governance, evaluation frameworks, observability, and production operations.

  • Experience with agent orchestration frameworks such as LangGraph, CrewAI, and AutoGen.

  • Knowledge of emerging agent communication protocols, including MCP and A2A.

  • Experience establishing reusable agent frameworks, accelerators, engineering standards, and governance models.

  • Experience sponsoring AI innovation initiatives, proof-of-concepts, and capability-building programs.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Applications will be accepted until 11/30/2026

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

Salary and Other Compensation

The annual salary for this position is between $102,000pa - $155,000 pa. 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.

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

Disclaimer: The salary, other compensation, and benefits 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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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