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Designs and builds LLM-powered security tools and platforms for threat hunting, cyber analytics, and security operations at RBC, integrating frontend (Vue.js) and backend (Python/Django/FastAPI) systems.
This role involves architecting and deploying Amazon WorkSpaces desktop infrastructure for enterprise customers while providing advisory services on applied AI, LLMs, and agentic workflows. The position requires a bilingual professional to lead technical discovery, migration, and production-readiness assessments for Canadian clients.
Senior data engineer designing scalable Snowflake/dbt pipelines for SouthState Bank’s analytics, reporting, and decision-making systems. Leads enterprise data platforms, mentors engineers, and ensures compliance with financial regulations.
About GoCharting GoCharting is a web-native charting and trading workflow platform with institutional-grade orderflow and DOM tools - footprint/cluster charts, volume/market profile, cumulative delta, imbalance charts,…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
Designs and builds production-grade Generative AI solutions with a focus on agentic workflows, LLMs, and RAG architectures using Python and frameworks like LangChain. Combines software engineering fundamentals with expertise in AI agent frameworks and cloud AI platforms.
Develops AI-driven automation and analytics for Navy cybersecurity missions, bridging technical and mission stakeholders to design, implement, and integrate secure solutions in classified environments.
Software Engineer II on TD's Gen AI team, developing and maintaining AI/ML-powered applications using Python, machine learning models, and GenAI/LLM technologies within the bank's Technology Solutions division.
The Staff AI Engineer will design and build production-grade agentic AI and generative AI systems, including MCP servers and RAG pipelines, to transform enterprise workflows at RBC. The role involves setting technical direction, mentoring engineers, and ensuring the reliability and safety of AI agents in a large-scale production environment.
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce…
The Lead Data and AI Architect will design and implement enterprise-wide AI and data strategies, creating architecture blueprints and standards for GenAI, machine learning, and agentic systems. The role involves collaborating with cross-functional IT teams to build scalable AI infrastructure and governance frameworks within a financial services environment.
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
The Senior Software Engineer will integrate LLMs and machine learning solutions into the company's platform, focusing on building AI-driven features, internal automation tools, and scalable ML infrastructure. The role requires strong expertise in Python, RAG pipelines, and production-level AI model deployment.
Build and maintain generative AI infrastructure, including vector databases and LLM gateways, to make AI tools accessible across the firm.
Senior AI Engineer designing, building, and deploying production ML/AI systems end-to-end—including data pipelines, RAG pipelines, agentic systems, and training workflows—using Python, AWS, Docker, and Kubernetes.
The Senior AI Engineer will design and implement AI-powered contact center solutions using Amazon Connect, Amazon Bedrock, and LLMs. This onsite role involves developing conversational AI agents, integrating cloud services, and optimizing prompt engineering for enterprise applications.
This role is for an AI/ML Technical Lead responsible for designing and overseeing scalable AI-driven solutions, including LLM-based applications. The position involves end-to-end architecture, model development, and mentoring junior engineers using technologies like Python, PyTorch, TensorFlow, and various cloud AI services.
The AI Solution Architect will design and deploy RAG frameworks and AI agents to automate workflows and analyze market data using LLMs. The role focuses on the application layer, utilizing Python and orchestration frameworks like LangChain to integrate AI into trading and risk systems.
This role is a 6-month full-stack contract supporting a cancer screening project by building secure, serverless APIs and web portals using AWS, Node.js/Python, and modern frontend frameworks. The developer will integrate with Ontario healthcare systems and standards like HL7 FHIR to manage digital correspondence.
The Junior AI Engineer will design and develop AI-powered tools, dashboards, and automation workflows using LLMs, RAG, and AI agents. The role involves full-stack development using technologies like Python, React, and Node.js to support internal applications and digital governance initiatives.
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