Home/Jobs/Spclst, AI & Data Engineering

Spclst, AI & Data Engineering

Carrier

Bengaluru

7-10 years

Today

$56.6K–78.3K/yr

Full-time

Onsite

Skills Required LLM

RAG

LLMOps

Gen AI

Embeddings

Cloud Storage

AgentOps

MLOps vector search prompt lifecycle model lifecycle model evaluation responsible AI

AI governance agent monitoring

Description Carrier Global Corporation is seeking a senior AI Platforms Engineer to design, implement, and govern enterprise AI platform capabilities on Google Cloud Platform. The role focuses on scalable AI, data, and automation platforms, ensuring secure, reliable, and production-ready AI solutions.

Company: Carrier Global Corporation

Role: Spclst, AI & Data Engineering

Location: Bangalore

Experience

- 10-12 years of overall technology experience
- 4-5 years of hands-on experience as an AI Engineer or AI Platforms Engineer
- 7-10 years of relevant technology experience in cloud engineering, AI/ML platforms, data platforms, automation, enterprise application development, or platform architecture
- 4-5 years of hands-on experience in Google Cloud Platform, AI engineering, MLOps, LLMOps, AgentOps, and production AI platform delivery

Qualification

- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
- Master’s degree preferred

Responsibilities

- Lead design and implementation of scalable AI, data, and automation platforms on GCP
- Build and operationalize cloud-native AI/ML solutions using GCP managed services
- Architect secure integration patterns across APIs, data sources, workflows, and third-party systems
- Design and implement automation workflows using Python, TypeScript, APIs, serverless services, and CI/CD pipelines




- Lead development and governance of AI agents, multi-agent workflows, and production support processes
- Evaluate enterprise AI platforms and productivity tools for architecture fit and governance readiness
- Define and enforce cloud security controls including IAM, network security, encryption, and audit logging
- Establish monitoring, alerting, incident response, performance tuning, and operational runbooks
- Lead usage analytics, budget controls, cost optimization, and executive reporting for cloud and AI platforms
- Lead and mentor junior engineers, review architecture and code, define reusable engineering patterns
- Lead operationalization of ML, generative AI, and agentic AI solutions including MLOps, LLMOps, and AgentOps
- Ensure AI platforms are secure, observable, cost-productive, resilient, and production-ready

Additional Responsibilities

- Provide hands-on technical direction and remove blockers for junior engineers
- Conduct knowledge-sharing sessions and assign technical tasks
- Drive high-quality delivery across AI platform, GCP, automation, MLOps, LLMOps, and AgentOps initiatives
- Establish engineering standards and ensure alignment with enterprise governance expectations
- Support production reliability through release readiness and support practices




- Lead incident management and production support for AI systems

Nice To Have

- Working knowledge of AWS services such as SageMaker, Bedrock, Lambda, S3, IAM, CloudWatch, API Gateway, and Step Functions
- Exposure to Microsoft Copilot, Copilot Studio, Dataiku, GitHub Copilot, Cursor, Claude, Codex, and other AI or coding assistants

More Skills Google Cloud Platform, Vertex AI, BigQuery, Cloud Run, Cloud Functions, IAM, VPC, Cloud Logging, Cloud Monitoring, Pub/Sub, APIs, Python, TypeScript, JavaScript, CI/CD pipelines, infrastructure automation, DevOps, data ingestion pipelines, backend services, enterprise application development, observability, scalability, platform reliability, security and governance, cloud-native AI/ML solutions, automation workflows, event-driven design, infrastructure-as-code

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 20 LLM System Design Questions (Quick)

Zenaique A focused LLM system design interview question set.

Top 50 LLM System Design Interview Questions

Zenaique

Curated LLM system design questions from Zenaique.

Top 25 LLMOps Interview Questions (Extended)

Zenaique An extended LLMOps interview question set from Zenaique.

More LLM jobs

Trainee Software Engineer – AI

Techvantage.ai

Thiruvananthapuram

Today

AI Technical Lead

Hitachi Solutions India Pvt Ltd

Chennai

Today

Senior Analyst – AI/Technology Development

Desri

Hyderabad

Today

Software Engineer (AI-Powered Advertising Agents - AgenticOS)

PubMatic

Pune

Today

Senior Software Engineer, AI Compilers

NXP Semiconductors

Hyderabad

Today

Principal AI Engineer

ABC Fitness

Hyderabad

Today

📌 Spclst, AI & Data Engineering (Bengaluru)
🏢 Top Gen AI Jobs
📍 Bengaluru