AI Architect

Must Have Technical/Functional Skills

• The AI / ML Architect will lead the design and evolution of enterprise scale AI and Machine Learning platforms supporting Retail Measurement, Consumer Panel Data, Omnichannel Analytics, and Advanced Insights. This role ensures AI solutions are scalable, explainable, governed, and production ready, enabling faster insights for retailers, manufacturers, and internal analytics teams.
• The role bridges business stakeholders, data science, platform engineering, and cloud architecture, driving AI adoption across consumer behavior modeling, demand forecasting, pricing, promotions, and shopper analytics

AI / ML & Analytics

• Strong experience in Machine Learning, statistical modeling, and applied analytics.
• Hands on expertise with Python and ML frameworks
• Experience applying AI to retail, consumer analytics, or large observational datasets.

Roles & Responsibilities

Key Responsibilities

• Define end to end AI/ML architecture for retail and CPG analytics use cases:
• Consumer panel modeling
• Omnichannel shopper behavior
• Demand forecasting & assortment optimization
• Price & promotion effectiveness
• Product hierarchy & attribution models
• Design reusable AI reference architectures aligned to NIQs data platforms (lakehouse, curated marts, analytical services).

Data Driven AI Platforms

• Architect AI solutions leveraging large scale transactional, panel and digital commerce data.
• Partner with Data Architecture teams to ensure:
• Feature engineering standards
• High quality, reusable analytical datasets
• Alignment with product agnostic / common sample analytics strategies
• Enable AI models to integrate seamlessly with reporting, dashboards, APIs, and client facing products.

MLOps & Platform Enablement

• Define and standardize MLOps pipelines for:
• Model training, validation, deployment, and monitoring
• Versioning, reproducibility, and lineage
• Performance and data drift detection
• Support multi tenant AI platforms used by multiple analytics teams and geographies.
• Collaborate with Dev Sec Ops  to embed security, resiliency, and cost optimization.

Responsible AI & Governance

• Establish AI governance frameworks suitable for:
• Client facing analytics products
• Explainability and transparency requirements
• Regulatory and data privacy constraints (GDPR, data usage agreements)
• Ensure models are auditable, explainable, and compliant with data policies.
• Define controls for ethical AI, bias detection, and model approval workflows.

Data & Platform Architecture

• Experience designing distributed data and AI platforms (Snowflake , Databricks, lakehouse architectures).
• Strong understanding of feature stores, model registries, and experiment tracking.
• Familiarity with API driven analytics delivery.

Cloud & Engineering

• Strong experience with cloud p latforms (Azure preferred; AWS/GCP acceptable).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience integrating AI with enterprise data products and analytics services.

Governance & Enterprise Readiness

• Knowledge of data governance, privacy, lineage, and auditability.
• Experience implementing Responsible AI practices in enterprise environments.
• Strong documentation and design communication skills.

Salary Range-$100,000-$150,000 a year

#LI-KR3

TCS Employee Benefits

Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support:
Maternal & Parental Leaves.

Insurance Options:
Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth:
Commuter Benefits & Certification & Training Reimbursement.

Time Off:
Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.