Enterprise AI Architect: LLM & GenAI Solutions

Tata Consultancy Services Limited; Atlanta (GA); In loco; USD 100.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Discretionary incentive

Medical coverage

Dental & Vision

Family leave

Insurance options

Training reimbursement

Time off

401K plan

Descrizione del lavoro

Tata Consultancy Services Limited in Atlanta, GA is seeking a seasoned Solution Architect to lead enterprise AI architecture initiatives. You will define end-to-end architectures for Generative AI, ensure governance, and collaborate with airline industry counterparts to translate priorities into scalable AI platforms.

The role demands a hands-on leader who balances innovation with reliability across cloud, data, security, and operations, while guiding teams through complex transformation

Competenze

• Proven experience designing enterprise AI architectures.
• Strong knowledge of LLMs, RAG, and agent frameworks.
• Experience with cloud platforms and security governance.
• Excellent collaboration with business and technical teams.

Mansioni

• Define end-to-end architecture for Generative AI, Agentic AI, ML, and intelligent automation.
• Translate airline priorities into scalable AI capabilities, reference architectures, solution patterns, and implementation roadmaps.
• Design reusable AI services across digital channels, airline operations, IT operations, customer service, engineering, and enterprise functions.
• Establish architecture standards for model integration, orchestration, data access, APIs, security, observability, evaluation, and deployment.
• Review solution designs and ensure alignment with enterprise standards and target architecture.

Conoscenze

Artificial Intelligence

Descrizione del lavoro

Tata Consultancy Services Limited in Atlanta, GA is seeking a seasoned Solution Architect to lead enterprise AI architecture initiatives. You will define end-to-end architectures for Generative AI, ensure governance, and collaborate with airline industry counterparts to translate priorities into scalable AI platforms.

The role demands a hands-on leader who balances innovation with reliability across cloud, data, security, and operations, while guiding teams through complex transformation