We are seeking a highly skilled Lead Software Engineer to drive our machine learning operations ML Ops large language model LLM and agentic AI integration Databricks administration and governance data lake management and cloud platform initiatives The ideal candidate will architect implement and optimize scalable ML pipelines manage cloud infrastructure GCP Azure lead prompt engineering for generative and agentic AI establish robust CI CD practices ensure Databricks platform governance and compliance and oversee data lake architecture and operations You will mentor a team of engineers and collaborate with data scientists product managers and stakeholders to deliver cutting-edge AI solutions Essential 10 plus years of software engineering experience with 3 and above years in ML Ops agentic AI Databricks administration and cloud platforms Experience in improving developer experience on ML OPS and DEV OPS practices Knowledge of observability platform like Dynatrace for API monitoring Lang smith for model monitoring Deep expertise in ML Ops tools MLflow Kubeflow Vertex AI Azure ML etc Hands-on experience with LLMs OpenAI Google Gemini Azure OpenAI etc agentic AI systems and prompt engineering Proven experience architecting and managing data lake solutions Azure Data Lake GCP BigLake etc Advanced knowledge of Databricks platform administration and governance Strong proficiency in Python and experience with other languages Java Go etc is a plus Advanced knowledge of GCP and Azure cloud services Proven experience designing and managing CI CD pipelines GitHub Actions Azure DevOps Jenkins etc Solid understanding of containerization Docker Kubernetes Experience with security compliance and governance in cloud ML and agentic AI environments Familiarity with MLOps for LLMs agentic AI and generative AI Contributions to open-source ML Ops agentic AI Databricks or cloud projects Certifications in GCP Azure Databricks or ML Ops Experience with data engineering ETL and big data technologies Excellent communication leadership and problem-solving skills Knowledge of data governance lineage and compliance in cloud environments Strong problem-solving communication and stakeholder management skills Ability to lead cross-functional teams and mentor junior ML engineers Experience integrating third-party APIs managing secrets and optimizing cloud costs Essential Bachelor s or Master s degree in Computer Science Engineering or related field Honeywell helps organizations solve the world s most complex challenges in automation the future of aviation and energy transition As a trusted partner we provide actionable solutions and innovation through our Aerospace Technologies Building Automation Energy and Sustainability Solutions and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter safer and more sustainable

📌 Lead Sw Architect (Karnataka)
🏢 Honeywell
📍 Karnataka