Job Title : AI / ML Technical Architect (Creative Cloud)
Location : Bangalore / Noida
Work Mode : Hybrid
Experience : 10+ years
Notice Period : Immediate joiners to 15 days.
Job Overview :
We are seeking an experienced AI / ML Technical Architect with a strong background in designing and scaling AI platforms and delivering enterprise-grade solutions. The ideal candidate will have deep expertise in Machine Learning, Large Language Models (LLMs), LLMOps, and DevOps practices, along with proven full-stack skills in AI engineering, cloud platforms, and data systems. This role demands hands-on technical leadership to architect and implement innovative AI-driven solutions within a hybrid work environment.
Key Responsibilities :
AI Platform Development & Scalability :
- Architect and build scalable AI platforms tailored to business and customer needs.
- Ensure high availability, reliability, and performance of AI solutions.
- Collaborate with stakeholders to evangelize platform adoption and innovation.
Machine Learning & Pipeline Design :
Design and implement ML pipelines for experiment management, model training, deployment, and retraining.Build and optimize APIs for model inferencing at scale.Conduct A / B testing and ensure continuous improvement of models.LLM Expertise :
Lead in the design, fine-tuning, and optimization of LLMs to improve accuracy and reduce latency.Implement distributed training and serving of large language models.Evaluate and recommend LLM models for specific business use cases.LLMOps & DevOps Practices :
Implement LLMOps best practices using frameworks such as LangChain, LangGraph, LangFlow, and Flowise.Manage deployments using Kubernetes, Docker, and container orchestration.Monitor and optimize systems using tools like Prometheus, Grafana, Kibana, and FluentD.Cloud & Data Systems :
Design and manage AI solutions across major cloud platforms (AWS, Azure, GCP).Work with a variety of databases and data warehouses such as DynamoDB, MongoDB, RDS, PostgreSQL, and BigQuery.Ensure data integrity, scalability, and security in AI / ML implementations.Leadership & Collaboration :
Provide technical leadership and mentorship to engineering teams.Partner with cross-functional stakeholders to align solutions with business goals.Deliver end-to-end solutions from architecture design to production deployment.Required Skills & Qualifications :
10+ years of professional experience in AI / ML engineering and architecture.Proven expertise in scaling AI platforms and designing ML pipelines & APIs.Strong proficiency in LLMs, including fine-tuning, distributed training, and optimization.Solid experience with LLMOps and DevOps tools & practices.Proficient in Python, SQL, and JavaScript.Hands-on experience with cloud platforms : AWS, Azure, GCP.Strong understanding of modern data systems and microservices architectures.Excellent leadership, problem-solving, and communication skills.Preferred Certifications (Bonus) :
AWS Professional Solution ArchitectAWS Machine Learning SpecialtyAzure Solutions Architect Expert(ref : hirist.tech)