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AI/ML Architech For Top MNC

  • Source: Naukri
  • LRR Technologies
  • $31,665.04 to $47,497.56 /yr
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

LRR Technologies is currently hiring talented people to work with Carrier Corporation. Carrier Corporation (NYSE: CARR) is a global provider of innovative heating, ventilating, and air conditioning (HVAC), refrigeration, fire, security, and building automation technologies boasting annual sales of over $20 billion, with 58,000 employees spread across 160+ countries. For its R&D centre in Hyderabad, Carrier is looking for a talented AI Architect.

Carrier was founded in 1915 as an independent, American company, manufacturing and distributing heating, ventilating and air conditioning (HVAC) systems, as well as commercial refrigeration and food service equipment. Built on Willis Carrier’s invention of modern air conditioning in 1902, Carrier is a world leader in heating, air-conditioning and refrigeration solutions. We constantly build upon our history of proven innovation with new products and services that improve global comfort and efficiency.

Job Summary:

We are seeking a Enterprise AI Architect with 15+ years of experience in designing and implementing enterprise-scale technology solutions, including at least 57 years focused on advanced AI/ML systems.

This role requires deep expertise in Agentic AI, Multi-Agent Orchestration, LLM Integration, MCP, RAG frameworks, AI Governance, and Cloud AI ecosystems (AWS, Azure, GCP). The successful candidate will serve as a strategic leader, guiding enterprise AI adoption and ensuring scalable, secure, and ethical deployment of AI solutions.

Key Responsibilities:

  • Lead the design and deployment of multi-agent orchestration systems and Agentic AI frameworks.
  • Architect solutions integrating LLMs, MCP, RAG frameworks and Tool calling into enterprise workflows.
  • Familiarity with workflow automation platforms and orchestration tools.
  • Define reference architectures and best practices for AI adoption across business units
  • Drive AI workload optimization across AWS, Azure, and GCP.
  • Establish multi-cloud strategies for scalable, resilient AI services.
  • Evaluate and integrate cloud-native AI/ML services into enterprise platforms.
  • Champion AI governance frameworks ensuring responsible, ethical, and compliant AI usage.
  • Define enterprise-wide policies for data privacy, model transparency, and regulatory compliance.
  • Collaborate with risk and compliance teams to align AI initiatives with global standards.
  • Shape enterprise AI strategy, identifying opportunities for Agentic AI-driven automation and multi-agent collaboration.
  • Stay ahead of emerging AI technologies and frameworks, advising leadership on adoption.
  • Partner with executives to align AI initiatives with business transformation goals.
  • Mentor architects, engineers, and data scientists on advanced AI frameworks.
  • Build cross-functional collaboration between IT, data, and business teams.
  • Represent the enterprise in industry forums, conferences, and AI consortiums.

Preferred Qualifications:

  • Certifications in GCP (e.g., Professional Machine Learning Engineer, Data Engineer).
  • Experience in Agile/Scrum methodologies.
  • Exposure to MLOps and CI/CD pipelines for ML models.
  • Experience working in a product-led company.

Perks and Benefits:

The position will pay quite well - Rs. 30-45lakh per annum is the band, and the final amount may be even higher depending on your experience and expertise.

If made an offer, you will need to join in 4 weeks.

This is the opportunity of a lifetime for people looking to specialize in highly coveted niche futuristic skills, and to work in a top multinational company with excellent employee-first initiatives. We look forward to your application.

Skills

  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
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