AI Architect at Tata Consultancy Services

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Job Description :-

Skills and Responsibilities:

• Candidates must possess a hands-on understanding of how models are built to design the systems that support them.

• Machine Deep Learning Proficiency in frameworks like TensorFlow or Py Torch and understanding model selection (e.g., supervised vs. unsupervised, reinforcement learning).

• Data Science Foundations Expertise data wrangling, statistical analysis, and visualization (Tableau, Matplotlib)

• Big Data ML Ops Familiarity with Spark, Kafka, and Hadoop for processing large datasets, alongside ML Ops tools for model versioning and deployment (ML flow, Kubeflow)

• AI Strategy Business Alignment- Value Assessment Identify high-impact business processes optimized by AI, separating realistic use cases from industry hype.

• Strategy Road mapping Define the enterprise roadmap for AI adoption, platform selection, and scaling models.

• Stakeholder Translation Act as a critical liaison between data scientists, IT infrastructure teams, and business leadership.

• System Design Integration- Architectural Blueprinting Define end-to-end data flows, API specifications, and choose deployment frameworks (cloud-native, hybrid, or on-premises).

• System Integration Ensure new AI models seamlessly connect with legacy databases, ERPs, CRMs, and core systems.

• Prototyping PoCs Direct High-speed Proof of Concepts (PoCs) to validate architectural decisions and model viability.

• Data Pipeline Architecture- Pipeline Collaboration Work with Data Engineers to establish reliable data ingestion, ETL pipelines, and feature storage systems.

• Data Quality Lineage Set governance policies regarding data transformation, semantic layers, and retrieval schemas (such as Graph RAG).

• Model Lifecycle ML Ops- ML Ops Standardiz ation Establish standard workflows for automated model deployment, versioning, and high-performance model service.

• Observability Drift Build automated monitoring to track model accuracy, latency, and data concept drift.

• Governance, Security, Responsible AI- AI Safety Guardrails Implement robust security guardrails, role-based access controls (RBAC), and prevent potential data leakage.

• Ethical AI Compliance Ensure all AI models are transparent, explainable, and compliant with relevant global data-privacy regulations (GDPR, CCPA).

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

Location

Winnipeg, MB

Job Function

TECHNOLOGY

Role

Lead

Job Id

418569

Desired Skills

Artificial Intelligence | MySql