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AI & ML Architect

Cognizant

Milwaukee, WI · HybridJob$115–130K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$115–130K/yr
Location
Milwaukee, WIHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The AI & ML Architect designs and leads enterprise-scale AI, Generative AI, Agentic AI, and machine learning solutions. The role collaborates with business stakeholders, data scientists, engineering teams, enterprise architects, and technology leadership to define strategic initiatives. It establishes architecture patterns and standards, ensures solutions meet enterprise requirements, and leads model strategy to improve business outcomes. The position follows a hybrid work model with three to four days weekly in a client or Cognizant office.

Skills & qualifications

RequiredNice to have

Skills

AI ArchitectureMachine LearningDeep LearningNatural Language ProcessingLarge Language ModelsAI FrameworksSolution ArchitectureEnterprise SecurityAI GovernanceScalabilityPerformance OptimizationStakeholder CollaborationRequirements TranslationFeature EngineeringModel EvaluationModel TuningAI Lifecycle ManagementModel DeploymentModel MonitoringContinuous ImprovementAgentic AI FrameworksAutonomous AgentsMulti-Agent ArchitecturesRetrieval-Augmented GenerationVector DatabasesKnowledge GraphsSemantic SearchAI Architecture StandardsGovernance FrameworksReinforcement LearningModel CalibrationCross-Functional LeadershipArchitectural Influence

Qualifications

Bachelor's or Master's in Related FieldExtensive AI Architecture ExperienceEnterprise AI Delivery ExperienceSolution Architecture ExperienceModel Strategy ExperienceGlobal Team 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 AI & ML Architect , you will make an impact by designing and leading enterprise-scale Artificial Intelligence, Generative AI, Agentic AI, and Machine Learning solutions that drive business value and innovation. You will be a valued member of the AI & Analytics team and work collaboratively with business stakeholders, data scientists, engineering teams, enterprise architects, and technology leadership to define and deliver strategic AI initiatives.

In this role, you will:

  • Define end-to-end architecture for AI, Generative AI, Agentic AI, and Machine Learning solutions across the enterprise.

  • Evaluate business challenges and recommend appropriate approaches, including machine learning, deep learning, natural language processing (NLP), retrieval-augmented generation (RAG), Generative AI, and AI agents.

  • Establish reusable architecture patterns, frameworks, standards, and reference architectures to accelerate solution delivery.

  • Ensure AI solutions meet enterprise requirements for scalability, security, reliability, performance, governance, and maintainability.

  • Lead model strategy, including feature engineering, model prioritization, calibration, training methodologies, and optimization to improve business outcomes.

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 to 4 days per week in a client or Cognizant office in Glendale, Wisconsin . 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

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

  • Extensive experience architecting and delivering enterprise-scale AI, Machine Learning, and Generative AI solutions.

  • Strong expertise in machine learning, deep learning, NLP, large language models (LLMs), and modern AI frameworks.

  • Experience designing solution architectures that align with enterprise security, governance, scalability, and performance requirements.

  • Proven ability to collaborate with business and technical stakeholders to translate complex requirements into AI-driven solutions.

  • Experience developing model strategies, including feature engineering, model evaluation, tuning, and performance optimization.

  • Strong understanding of AI lifecycle management, model deployment, monitoring, and continuous improvement practices.

These will help you stand out

  • Experience with Agentic AI frameworks, autonomous agents, and multi-agent architectures.

  • Knowledge of retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic search solutions.

  • Experience establishing AI architecture standards, governance frameworks, and enterprise AI best practices.

  • Familiarity with reinforcement learning methodologies and advanced model calibration techniques.

  • Experience leading global, cross-functional teams and influencing architectural decisions across multiple business units.

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.

Salary and Other Compensation :

Applications will be accepted until November 15, 2026

The annual salary for this position is between $ 115,000 - $ 130,000 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

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.

How this job compares

Set against the 1,366 open AI Architect jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$115–130K/yr
  • US median$144–287K/yr1,202 salary ranges

This range's midpoint, $123K, is 44% below the US median midpoint ($220K) — in the lowest quarter of AI Architect salary ranges across the US.

Openings
Olive Jobs lists 22 open AI Architect jobs in Wisconsin and 1,366 across the US. 4% of them nationwide are listed as remote or flexible.
Hiring the most in Wisconsin
Experience
AI Architect postings that state a minimum ask for 8 years of experience at the median; the middle half ask for 6 to 10 years (1,258 postings).
Education
708 of the 1,366 open AI Architect jobs (52%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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