Artificial Intelligence Architect

BMW TechWorks India Pvt Ltd.; Pune District; Hybrid; INR 400,000 - 700,000; Full time

Job summary

BMW TechWorks India Pvt Ltd. in Pune is seeking an AI Architect to shape the end-to-end AI architecture strategy within the Integration and Verification Domain. You will define scalable AI platforms and blueprints that support business workloads, collaborating with global teams to define the AI roadmap and governance.

You will lead adoption of cloud-native AI, drive AI maturity, and leverage GenAI, ML, and cloud technologies, while mentoring AI engineers and data scientists.

Qualifications

• 15+ years of IT experience with at least 5 years in AI/ML architecture.
• Strong experience designing scalable AI/ML and GenAI architectures.
• Proven leadership abilities capable of driving initiatives, mentoring teams, and influencing stakeholders.
• Strong communication and decision-making skills to present architectural solutions and translate business problems into scalable AI reference architectures.
• Expertise in building cloud-native architectures on AWS/Azure.
• Experience leading AI platform engineering, model training, deployment, and monitoring.
• Strong understanding of distributed systems, microservices, and API ecosystems.
• Ability to collaborate with cross-functional teams and articulate technology strategy.

Responsibilities

• Shape end-to-end AI architecture strategy in the Integration and Verification Domain.
• Define scalable, secure, and future-ready AI platforms and solution blueprints for business workloads.
• Collaborate with global engineering, product, IT and business teams to define the AI roadmap and governance.
• Drive AI maturity, orchestrate cloud-native AI platforms, and adopt state-of-the-art technologies (GenAI, ML, Cloud).
• Provide technical leadership, mentorship, and guidance to AI engineers, data scientists, and solution architects.

Skills

AI architecture

Leadership

Cloud-native architectures

AWS/Azure

AI platforms

ML deployment

Microservices

API ecosystems

GenAI

Python

LangChain

LangGraph

LLMOps

Model lifecycle management

Distributed systems

Team mentorship

Cross-functional collaboration

AI security, governance

Tools

Kubernetes

Docker

GitOps

CI/CD

LangChain

LangGraph

Microsoft Copilot

n8n

Grow AI

Job description

Role

AI Architect

Location

• Pune
• Flexibility to travel for business trips

Experience

• 15+ Years of experience

What awaits you/ Job Profile?

You will play a key role in shaping the end-to-end AI architecture strategy in theIntegration and Verification Domain.

You will define scalable, secure, and future ready AI platforms and solution blueprints that support business workloads.

You will collaborate with global engineering, product, IT and business teams to define the AI roadmap, own architectural governance, and ensure successful delivery of AI/ML use cases across the organization.

In this role, you will influence adoption of AI, orchestrate cloud-native AI platforms, drive AI maturity, and leverage state-of-the-art technologies in areas such as GenAI, Machine Learning and Cloud.

Provide technical leadership, mentorship, and guidance to AI engineers, data scientists, and solution architects

What should you bring along?

• 15+ years of overall IT experience, with at least 5 years in AI/ML architecture
• Strong experience designing scalable AI/ML and GenAI architectures
• Proven leadership abilitiescapable of driving initiatives, mentoring teams, and influencing stakeholders
• Strong communication and decision-making skills to present architectural solutions, converting business problems into scalable AI reference architectures
• Expertise in building cloud-native architectures on AWS/Azure
• Experience leading AI platform engineering, model training, deployment, and monitoring
• Strong understanding of distributed systems, microservices, and API ecosystems
• Ability to collaborate with cross-functional teams
• Strong communication skills to articulate technology strategy and architectural decisions
• Deep understanding of AI security, compliance, responsible AI, and governance standards

Must have technical skill

• Deep understanding of GenAI, Machine learning and deep learning
• Proficiency in Python and core AI, ML libraries and GenAI frameworks.
• Knowledge of LLMOps and model lifecycle management for large language models
• Strong expertise inhyperparameter tuning, model optimization, and performance benchmarking for ML and GenAI models
• Hands-on experience with AI/GenAI orchestration frameworks, including LangChain and LangGraph, for building RAG workflows, agents, and complex orchestration pipelines
• Practical experience implementing agentic AI systems, using tools such as Microsoft Copilot, n8n, Grow AI, and similar automation/AI agent platforms.
• Proven experience designing and implementing API-first architectures.
• Strong knowledge of AWS /Azure AI/ML services.
• Experience with fullstack development - Java, Angular , Springboot,PostgreSQL.
• Experience with Kubernetes, Docker, GitOps, and CI/CD platforms
• Solid experience in architecting AI and ML pipelines
• Hands-on experience with vector databases, embeddings, and LLM integration
• Ability to design high-availability, scalable, and cost-optimized AI platform architectures

Good to have technical skills

• Familiarity with event-driven architecture (Kafka, Event Hub)
• Experience with Edge AI and real-time inference workloads
• Understanding of Zero Trust Architecture for AI workloads
• Certifications in cloud platforms or AI/ML specializations
• Experience with open-source LLMs and model optimization techniques
• Background in enterprise architecture frameworks such as TOGAF or Zachman