Staff Solutions Architect – AI/ML

Warner Bros. Discovery

Staff Solutions Architect focused on AI and Machine Learning solutions at Warner Bros. Discovery.

Posted 7/21/2026full-timeHyderabad • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable AI/ML solutions, with a strong focus on architecture, governance, and optimization of AI/ML systems. Proven ability to lead technical teams and collaborate effectively with business stakeholders to implement AI-driven strategies.

Highest-signal resume keywords

AI/ML Solution ArchitectureTensorFlowAWS Machine Learning SpecialtyData Pipeline OptimizationNatural Language Processing (NLP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML FrameworksPythonJavaRBig Data TechnologiesSQLNoSQLMicroservices ArchitectureModel Deployment WorkflowsAI Model Lifecycle Management

Soft Skills

Technical LeadershipCollaborationCommunication

Tools & Technologies

AWSAzureGCPTableauPower BI

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Data ScienceGoogle Cloud AI Engineer

Industry Keywords

AI GovernanceEnterprise-Scale EnvironmentsRecommendation SystemsComputer VisionEmerging AI/ML Trends

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopJavaMicroservicesNoSQLPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Design and develop scalable AI/ML solutions tailored to address business challenges
Lead the end-to-end architecture of AI/ML platforms
Collaborate with data scientists, engineers, and business stakeholders
Evaluate and select appropriate AI/ML frameworks, technologies, and tools
Provide technical leadership for AI/ML projects
Stay abreast of emerging AI/ML trends and technologies
Act as a key interface between business units, technical teams, and senior leadership
Implement best practices for AI/ML governance
Architect solutions that are modular and scalable
Regularly review and optimize existing AI/ML systems

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline
Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus
8+ years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role
Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments
Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP)
Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices
Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision
Proficiency in programming languages like Python, Java, or R
Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL)
Solid understanding of microservices architecture and APIs for AI model integration
Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring
Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights.

Benefits

Comp & perks

Thoughtfully curated benefits
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