Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Leading the design and delivery of next-generation scalable services, driving transition into AI-native engineering using Python, React, and GCP.
Compensation
The starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below $145,000.00 - $235,500.00/yr
Responsibilities
Drive architectural vision and deployment of high-quality, scalable software assets using Python and React
Architect and govern advanced agentic systems using Vertex AI Agent SDK, LangChain, or LangGraph
Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines
Define organizational strategy and architecture for data retrieval pipelines (vector embeddings, semantic search)
Establish enterprise-wide prompt engineering standards and LLM security frameworks
Requirements
Bachelor's degree in Computer Science or a related field
The Lead AI Engineer is the senior technical authority responsible for driving architecture, technical direction, and engineering standards for AI-powered products and Digital Workers. The role evolves toward team leadership.
Compensation
The expected base salary range for this position is $150,000 to $180,000 annually.
Responsibilities
Own the architecture of the Digital Worker platform and AI capabilities
Establish design principles, engineering patterns, and architectural standards for AI systems
Lead technical design reviews and make tradeoff calls on quality, latency, and cost
Design and build production systems using LLMs, retrieval architectures, and agentic workflows
Build reusable frameworks for agent orchestration and tool integration
Hands‑on AI Engineer responsible for designing, developing, and deploying AI agents and intelligent automation solutions across the full development lifecycle, integrating with Microsoft Azure and Microsoft 365 services.
Responsibilities
Design, develop, and deploy AI agents capable of performing multi‑step tasks and automating business workflows
Build agents using Microsoft Foundry, Azure AI Agent Service, LangGraph, Semantic Kernel, and similar frameworks
Develop agent capabilities including tool calling, function execution, retrieval‑augmented generation, memory management, and workflow orchestration
Integrate agents with internal applications, external APIs, databases, and enterprise systems
Test, evaluate, and optimize agent accuracy, reliability, and performance
Lead the design, architecture, and implementation of enterprise AI solutions across global business operations, driving scalable AI platforms, automation frameworks, and advanced analytics.
Compensation
Canadian Solar Inc. offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement.
Responsibilities
Define and lead enterprise AI architecture standards, frameworks, and best practices
Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption
Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals
Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives
Requirements
Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline
Nice to have: Advanced degree
Nice to have: Experience with data engineering technologies
Lead the design, build, and maintenance of the Databricks Lakehouse platform and enable AI-powered applications.
Responsibilities
Support development and deployment of AI-powered applications including LLM/GenAI workflows, RAG pipelines, and Mosaic AI integration
Design, build, and maintain the core Databricks Lakehouse platform, including workspace configuration, Unity Catalog setup, cluster policies, security, and governance
Develop and optimize production-grade data pipelines for analytics and AI workloads
Evaluate requirements, produce reference architectures, and recommend patterns for data ingestion, transformation, storage, and consumption
Establish engineering standards for code quality, CI/CD, testing, monitoring, and cost optimization
Machine Learning Engineer role to build, deploy, and optimize production-grade machine learning and Generative AI solutions for healthcare products.
Responsibilities
Design, develop, and deploy machine learning models and AI services that power Experity’s Intelligent healthcare products.
Design and implement automated data collection, feature engineering, model training, evaluation, deployment, and monitoring ML pipelines to enable predictive analytics, recommendations, forecasting, classification, and automation.
Develop APIs and production services using Python and FastAPI.
Build and operationalize Generative AI solutions, including RAG pipelines and AI powered assistants.
Work with large-scale healthcare datasets and cloud-native data platforms.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field
AI & ML EngineerNewExperity · Bengaluru, India