The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.
This is a remote position.
We are seeking a highly experienced AI Architect with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI orchestration frameworks such as LangChain and LangGraph. The ideal candidate will have strong hands-on experience designing enterprise-grade AI solutions, building scalable RAG (Retrieval-Augmented Generation) pipelines, integrating MCP servers using Python, and developing production-ready AI applications leveraging modern LLM ecosystems.
Requirements
- 12–15+ years of overall IT experience with strong architecture background.
- Extensive hands-on experience with Python development.
- Strong expertise in LangChain and LangGraph frameworks.
- Experience integrating MCP servers using Python.
- Deep understanding of RAG architecture and LLM application development.
- Hands-on experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
- Experience working with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems.
- Strong understanding of prompt engineering and AI orchestration patterns.
- Experience developing REST APIs and microservices.
- Familiarity with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
- Experience with AI monitoring, evaluation, and optimization techniques.
- Strong knowledge of scalable distributed systems and enterprise architecture.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead technical vision and architecture for AI-powered GTM systems, defining reference architectures, patterns, and governance for low-code and custom agentic solutions. Architect and prototype LLM orchestration, multi-system integrations, RAG pipelines, and event-driven data flows across Salesforce, NetSuite, Marketo, and cloud infrastructure while partnering with GTM leaders to deliver production-grade, auditable, and scalable automation.
Top Skills:
Aws BedrockAws LambdaCrewaiEmbedding PipelinesEventbridgeFastapiFastmcpLangchainLangfuseLanggraphLitellmLlamaindexMarketoModel Context Protocol (Mcp)MulesoftNetSuiteNode.jsPythonRagRetrieval-Augmented GenerationSalesforceSalesforce FlowSnsSqsVector DatabasesWorkato
AdTech
Design, build, and ship end-to-end AI and data solutions using proprietary data infrastructure. Scope projects with business stakeholders, implement models, pipelines, and APIs (Python/SQL), deploy on Snowflake or BigQuery, and iterate post-launch. Enable non-technical teams, collaborate with Data Engineering and AI teams, and operationalize LLMs, embeddings, and predictive models into working internal products.
Top Skills:
APIsBigQueryEmbeddingsLlmsLookerPower BIPredictive ModelingPythonSigmaSnowflakeSQLTableau
Artificial Intelligence • Software
Design and deliver enterprise-grade AI/GenAI solutions on Salesforce or ServiceNow. Lead RAG pipelines, LLM workflows, NLP automation, and vector retrieval integrations. Architect scalable API/microservice integrations, ensure performance, security, and reliability, and define AI governance and guardrails. Collaborate with product, engineering, and customers through discovery, workshops, and demos to operationalize AI for Field and Customer Service workflows.
Top Skills:
Agent-Based SystemsAPIsAWSAzureCsmEmbeddingsField ServiceFsmGCPItsmLlmsMcp ProtocolsMicroservicesNlpRagRetrieval SystemsSalesforceSemantic SearchService CloudServicenowTool OrchestrationVector Databases
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
