AI Architect

Tata Consultancy Services; Minneapolis (MN); On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Maternal & Parental Leaves

Auto & Home Insurance

Commuter Benefits

Certification & Training Reimbursement

Vacation, Time Off & Holidays

Job summary

Tata Consultancy Services is seeking an experienced AI architecture leader to define and drive enterprise AI, GenAI, and agentic AI programs in cloud and hybrid environments.

You will work hands-on with Azure AI, AWS SageMaker, and Vertex AI, shaping solution blueprints, governance, and MLOps practices. The role emphasizes end-to-end AI implementations, security, and value realization for large-scale enterprises.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Hands-on architecture experience with major cloud AI services.
• Experience leading AI architecture for enterprise-scale deployments.

Responsibilities

• Define and lead AI, GenAI, and agentic AI architecture for enterprise transformation.
• Translate business objectives into production-ready AI blueprints, target architectures, and implementation roadmaps.
• Advise technology and business stakeholders on AI operating model, platform strategy, governance, security, and value realization.
• Architect end-to-end AI solutions from discovery and PoC through MVP, production deployment, scaling, and ongoing model operations.
• Lead architecture decisions for RAG, vector databases, model selection, orchestration, integration, monitoring, and human-in-the-loop workflows.
• Partner with data, cloud, cybersecurity, enterprise architecture, and delivery teams to ensure solutions are scalable, secure, compliant, and commercially viable.
• Support proposals, solution defense, executive workshops, and strategic pursuits by creating clear technical narratives and differentiated solution approaches.
• Establish reusable reference architectures, accelerators, design standards, and delivery playbooks.

Skills

AI architecture

GenAI

RAG

Prompt engineering

Model orchestration

LLMOps

Cloud AI

Security governance

Education

Bachelor of Computer Science

Tools

Azure AI

Azure OpenAI

AWS SageMaker

Bedrock

Vertex AI

Databricks

Snowflake

LangChain

Semantic Kernel

Job description

• Enterprise AI, GenAI, and agentic AI architecture across cloud and hybrid environments.
• Hands-on architecture experience with Azure AI / Azure OpenAI, AWS SageMaker / Bedrock, Google Vertex AI, and cloud-native AI services.
• LLM solution patterns including RAG, vector search, prompt engineering, evaluation, orchestration, and guardrails.
• AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain / Semantic Kernel or equivalent orchestration frameworks.
• MLOps and LLMOps including CI/CD, model monitoring, governance, retraining, security, observability, and release controls.
• Modern data platforms such as Databricks, Snowflake, cloud data lakes, lakehouse patterns, and enterprise data integration.
• Responsible AI, model risk management, security, privacy, and regulatory alignment for enterprise AI solutions.
• Utility domain exposure preferred: grid operations, asset management, customer operations, field operations, energy transition, SCADA, AMI, OMS, GIS, DERMS, EAM.
• Define and lead AI, GenAI, and agentic AI architecture for enterprise transformation initiatives.
• Translate business objectives into production-ready AI solution blueprints, target architectures, and implementation roadmaps.
• Advise technology and business stakeholders on AI operating model, platform strategy, governance, security, and value realization.
• Architect end-to-end AI solutions from discovery and PoC through MVP, production deployment, scaling, and ongoing model operations.
• Lead architecture decisions for RAG, vector databases, model selection, orchestration, integration, monitoring, and human-in-the-loop workflows.
• Partner with data, cloud, cybersecurity, enterprise architecture, and delivery teams to ensure solutions are scalable, secure, compliant, and commercially viable.
• Support proposals, solution defense, executive workshops, and strategic pursuits by creating clear technical narratives and differentiated solution approaches.
• Establish reusable reference architectures, accelerators, design standards, and delivery playbooks.

Job Description

• Enterprise AI, GenAI, and agentic AI architecture across cloud and hybrid environments.
• Hands-on architecture experience with Azure AI / Azure OpenAI, AWS SageMaker / Bedrock, Google Vertex AI, and cloud-native AI services.
• LLM solution patterns including RAG, vector search, prompt engineering, evaluation, orchestration, and guardrails.
• AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain / Semantic Kernel or equivalent orchestration frameworks.
• MLOps and LLMOps including CI/CD, model monitoring, governance, retraining, security, observability, and release controls.
• Modern data platforms such as Databricks, Snowflake, cloud data lakes, lakehouse patterns, and enterprise data integration.
• Responsible AI, model risk management, security, privacy, and regulatory alignment for enterprise AI solutions.
• Utility domain exposure preferred: grid operations, asset management, customer operations, field operations, energy transition, SCADA, AMI, OMS, GIS, DERMS, EAM.

Roles & Responsibilities

• Define and lead AI, GenAI, and agentic AI architecture for enterprise transformation initiatives.
• Translate business objectives into production-ready AI solution blueprints, target architectures, and implementation roadmaps.
• Advise technology and business stakeholders on AI operating model, platform strategy, governance, security, and value realization.
• Architect end-to-end AI solutions from discovery and PoC through MVP, production deployment, scaling, and ongoing model operations.
• Lead architecture decisions for RAG, vector databases, model selection, orchestration, integration, monitoring, and human-in-the-loop workflows.
• Partner with data, cloud, cybersecurity, enterprise architecture, and delivery teams to ensure solutions are scalable, secure, compliant, and commercially viable.
• Support proposals, solution defense, executive workshops, and strategic pursuits by creating clear technical narratives and differentiated solution approaches.
• Establish reusable reference architectures, accelerators, design standards, and delivery playbooks.

Salary Range: $160,000 -$220,000 year

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, 4 01K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications:

BACHELOR OF COMPUTER SCIENCE