AI Architect for SAP

Tata Consultancy Services

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

10 days ago

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Job summary

Tata Consultancy Services is seeking an AI Architect to lead AI strategy and enterprise architecture across SAP landscapes, integrating multiple AI platforms with SAP systems. The role emphasizes Generative and Agentic AI, governance, and scalable AI solutions.

The ideal candidate brings extensive experience in SAP architectures, cloud platforms, and cross-functional leadership to drive enterprise-wide AI adoption and transformation.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related discipline.

Responsibilities

Define enterprise AI strategy for SAP-led transformation programs.
Establish AI architecture principles, governance standards, and adoption frameworks.
Create enterprise AI roadmaps aligned with business outcomes and transformation objectives.
Advise CXOs and business leaders on AI-driven operating models and intelligent enterprise initiatives.
Define AI reference architectures, reusable accelerators, and implementation patterns.
Design AI-enabled business processes across SAP S/4HANA, SAP BTP, SAP SuccessFactors, SAP Ariba, SAP IBP, SAP EWM, SAP Datasphere, SAP SAC.
Lead solution architecture leveraging major AI platforms and establish API, agent, and orchestration frameworks connecting AI services with SAP applications.
Design autonomous AI agents and digital workforce solutions for Finance, Supply Chain, Procurement, Manufacturing, HR, Customer Service.
Define enterprise data architecture supporting AI initiatives using SAP Datasphere, SAP HANA Cloud, Databricks, Snowflake.
Establish Responsible AI governance, security, privacy, explainability, and compliance models.
Mentor architects and collaborate with SAP teams, hyperscalers, and AI vendors.

Skills

Generative AI

Agentic AI

RAG Architecture

LLM Orchestration

Python

APIs

LangChain

Semantic Kernel

Knowledge Graphs

AI Governance

Education

Bachelors/Masters in CS/Engineering/IS/Data Science

Tools

Azure OpenAI

OpenAI APIs

Google Vertex AI

AWS Bedrock

Databricks AI Platform

NVIDIA AI Enterprise

Job description

OpenAI GPT Models

Job Description

This is a leadership role within the TCS Enterprise Solutions Unit (ESU) involving proactive value creation, digital innovation, and enterprise transformation for global clients. We are seeking an experienced AI Architect specializing in SAP ecosystems to define AI strategy, architect intelligent business solutions, and drive enterprise-scale AI adoption across SAP landscapes.

The architect will be responsible for designing and implementing innovative AI-powered business capabilities leveraging SAP business processes while utilizing SAP and non-SAP AI platforms. The ideal candidate will bring deep expertise in Generative AI, Agentic AI, Enterprise AI Architecture, Data Platforms, and AI Governance while understanding complex SAP environments including S/4HANA, ECC, BTP, SuccessFactors, Ariba, IBP, Datasphere, and SAP Business Network.

The role requires the ability to identify business transformation opportunities and architect solutions using leading AI platforms such as Microsoft Azure AI, Azure OpenAI, OpenAI, Google Vertex AI, AWS Bedrock, Databricks Mosaic AI, NVIDIA AI, Anthropic Claude, and other enterprise AI technologies integrated with SAP systems.

Roles & Responsibilities

AI Strategy & Enterprise Architecture

Define enterprise AI strategy for SAP-led transformation programs.
Establish AI architecture principles, governance standards, and adoption frameworks.
Create enterprise AI roadmaps aligned with business outcomes and transformation objectives.
Advise CXOs and business leaders on AI-driven operating models and intelligent enterprise initiatives.
Define AI reference architectures, reusable accelerators, and implementation patterns.

SAP AI Solution Architecture

Design AI-enabled business processes across:
SAP S/4HANA
SAP BTP
SAP SuccessFactors
SAP Ariba
SAP IBP
SAP EWM
SAP Datasphere
SAP SAC
Architect embedded, side-by-side, and standalone AI solutions for SAP landscapes.
Design AI-enabled user experiences integrated into SAP Fiori and enterprise workflows.
Define event-driven AI architectures integrated with SAP business events.

Non-SAP AI Platform Integration

Lead solution architecture leveraging:
Microsoft Azure AI Services
Azure OpenAI
OpenAI GPT Models
Google Vertex AI
AWS Bedrock
Anthropic Claude
Databricks Mosaic AI
NVIDIA AI Enterprise
Hugging Face Ecosystem
Design integration patterns between SAP systems and external AI platforms.
Establish API, agent, and orchestration frameworks connecting AI services with SAP business applications.
Define enterprise architecture for multi-model and multi-platform AI deployments.

Agentic AI Architecture

Design autonomous and semi-autonomous AI agents supporting SAP business processes.
Architect digital workforce solutions for:
Finance
Supply Chain
Procurement
Manufacturing
HR
Customer Service
Establish agent orchestration, decision frameworks, and governance models.
Design Retrieval-Augmented Generation (RAG) architectures leveraging SAP and enterprise data sources.

Data & AI Engineering

Define enterprise data architecture supporting AI initiatives.
Design AI-ready data foundations leveraging:
SAP Datasphere
SAP HANA Cloud
Databricks
Snowflake
Azure Data Platform
Define semantic layer, vector databases, knowledge graphs, and AI data pipelines.
Ensure data quality, lineage, governance, and observability standards.

AI Governance, Risk & Compliance

Establish Responsible AI framework and governance controls.
Define AI security, privacy, explainability, and compliance models.
Lead risk assessments for AI implementations.
Define monitoring and model lifecycle management strategies.

Leadership & Stakeholder Management

Mentor architects, consultants, and technical teams on enterprise AI adoption.
Conduct architecture governance reviews and solution quality assessments.
Collaborate with SAP functional teams, business stakeholders, hyperscalers, and AI platform vendors.
Lead executive workshops, innovation sessions, and AI strategy discussions.

Presales & Innovation

Support AI opportunity identification, solutioning, and proposal development.
Create value realization frameworks and business cases for AI investments.
Participate in client innovation programs and executive advisory engagements.
Drive development of AI accelerators, assets, and reusable industry solutions.

Required Qualifications

Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, Data Science, or related discipline.
15+ years of enterprise technology architecture experience.
10+ years of SAP architecture and transformation experience.
5+ years of experience designing AI and Machine Learning solutions.
Strong understanding of SAP business processes and enterprise architecture.
Proven experience integrating enterprise AI platforms with SAP applications.
Experience architecting Generative AI, Agentic AI, and RAG solutions.
Experience with enterprise-scale AI governance and security frameworks.
Strong knowledge of cloud platforms including Azure, AWS, and Google Cloud.

Mandatory Technical Skills

SAP