Senior Ai Architect

Tata Consultancy Services; Oaks (PA); Presencial; USD 110.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary Annual Incentive

Commuter Benefits

Certification & Training Reimbursement

Medical Coverage: Dental & Vision

Descripción de la vacante

Tata Consultancy Services Limited seeks an experienced Technical Architect to define end-to-end enterprise AI architectures and GenAI strategies in Oaks, PA. You will shape reference patterns, evaluate models and platforms, and guide secure integrations across enterprise systems.

Lead engineering teams, optimize prompts and routing, and ensure scalable, cost-aware AI deployments while collaborating with security, data, and governance units.

Formación

• Strong enterprise solution architecture experience with significant exposure to AI/ML and GenAI.
• Hands-on understanding of LLMs, SLMs, RAG, embeddings, vector databases, AI agents, prompt engineering, and model evaluation.
• Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud.
• Understanding of commercial and open-source AI models.
• Strong knowledge of APIs, microservices, containers, cloud architecture, security, and enterprise integration.
• Ability to evaluate architectural trade-offs across quality, performance, risk, scalability, and cost.

Responsabilidades

• Define end-to-end architecture for enterprise AI and GenAI solutions.
• Establish reference architectures and reusable patterns for LLM, SLM, RAG, agentic AI, and traditional ML solutions.
• Evaluate AI models and platforms based on business requirements, accuracy, latency, security, scalability, and cost.
• Define criteria for determining when to use AI, what type of AI to use, and when traditional technology or automation is more appropriate.
• Develop strategies for model routing, token optimization, caching, prompt optimization, and inference-cost management.
• Architect secure integration of AI solutions with enterprise applications, APIs, data platforms, and knowledge repositories.
• Provide architecture guidance for AI agents, orchestration, vector databases, embeddings, APIs, and model gateways.
• Collaborate with security, data, infrastructure, governance, and application architecture teams.
• Provide technical leadership to engineering teams and conduct architecture/design reviews.
• Help translate business use cases into scalable AI solution architectures.

Conocimientos

Enterprise architecture

AI/ML/GenAI exposure

LLMs/SLMs/RAG

APIs & microservices

Security & enterprise integration

Prompt engineering

Model evaluation

Cloud platforms (Azure/AWS/GC)

Educación

Bachelor of Computer Science

Herramientas

Azure

Descripción del empleo

Job Description

Must Have Technical/Functional Skills

• Strong enterprise solution architecture experience with significant exposure to AI/ML and GenAI.
• Hands-on understanding of LLMs, SLMs, RAG, embeddings, vector databases, AI agents, prompt engineering, and model evaluation.
• Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud.
• Understanding of commercial and open-source AI models.
• Strong knowledge of APIs, microservices, containers, cloud architecture, security, and enterprise integration.
• Ability to evaluate architectural trade-offs across quality, performance, risk, scalability, and cost.

Roles & Responsibilities

• Define end-to-end architecture for enterprise AI and GenAI solutions.
• Establish reference architectures and reusable patterns for LLM, SLM, RAG, agentic AI, and traditional ML solutions.
• Evaluate AI models and platforms based on business requirements, accuracy, latency, security, scalability, and cost.
• Define criteria for determining when to use AI, what type of AI to use, and when traditional technology or automation is more appropriate.
• Develop strategies for model routing, token optimization, caching, prompt optimization, and inference-cost management.
• Architect secure integration of AI solutions with enterprise applications, APIs, data platforms, and knowledge repositories.
• Provide architecture guidance for AI agents, orchestration, vector databases, embeddings, APIs, and model gateways.
• Collaborate with security, data, infrastructure, governance, and application architecture teams.
• Provide technical leadership to engineering teams and conduct architecture/design reviews.
• Help translate business use cases into scalable AI solution architectures.

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.

Salary Range $110,000 - $130,000 a year

Location

Oaks, PA

Function

TECHNOLOGY

Role

Technical Architect

ID

434462

Skills

Artificial Intelligence | Azure

Salary Range

$110,000 - $130,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE