AI Architect

BMW TechWorks India Private Limited; Pune District; On-site; INR 5,000,000 - 9,000,000; Full time

Job summary

BMW TechWorks India Private Limited is seeking a Senior AI Architect to shape the end-to-end AI architecture strategy for the Integration and Verification Domain. You will define scalable, secure AI platforms and blueprints that support complex business workloads.

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

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—mentoring teams and influencing stakeholders.
• Experience building cloud-native architectures on AWS/Azure.
• Experience leading AI platform engineering, model training, deployment, and monitoring.
• Ability to translate business problems into scalable AI reference architectures.

Responsibilities

• Define AI architecture strategy for Integration and Verification.
• Define scalable, secure AI platforms and blueprints.
• Collaborate with global teams to define AI roadmap and governance.
• Ensure delivery of AI/ML use cases across the organization.
• Mentor AI engineers, data scientists, and solution architects.
• Drive AI maturity and adoption of GenAI, ML, and Cloud technologies.

Skills

AI/ML architecture

GenAI architectures

Cloud-native architectures

Leadership abilities

Cross-functional collaboration

Distributed systems

API-first architectures

AWS/Azure expertise

Kubernetes / Docker

Tools

LangChain

LangGraph

Kubernetes

Docker

GitOps

CI/CD tooling

Job description

• Flexibility to travel for business trips

Experience:

• 15+ Years of experience

Number of openings

• 1 Nos

What awaits you/ Job Profile?

You will play a key role in shaping the end-to-end AI architecture strategy in the Integration 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 abilities—capable 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 in hyperparameter 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