Solutions Architect, Monitoring

AI Solutions Architect Location Remote in Toronto, ON : Solutions Architect - OpsGuru (a Carbon60 Company) OpsGuru is a global engineering and consulting group. We specialize in cloud-native transformation, data platform modernization, and artificial intelligence. Our team consists of experts in application development, cloud infrastructure, DevOps, and AI/ML engineering. We empower customers to solve their most complex business challenges through innovative use of cloud and AI technologies.
Our value lies in deep technical leadership coupled with business-aligned delivery. Within these teams, the AI Solutions Architect leads the design and delivery of production-grade AI solutions—including generative AI, machine learning, and intelligent data pipelines—while maintaining a systems-thinking approach that ties technical decisions to business outcomes.
Roles and Responsibilities Project Leadership & Delivery Provide deep technical expertise in designing and deploying end-to-end AI/ML and GenAI solutions.
Lead the Design and Build phases of AI solution architectures on AWS (and other public clouds) that include foundation models, orchestration frameworks (e.g. LangChain, DSPy), vector databases, and RAG pipelines.
Guide technical discovery sessions with clients to identify high-impact AI use cases and define delivery plans.
Collaborate with Principal Consultants, Pre-sales, SME's and customer stakeholders to translate business goals into scalable technical designs.
Act as the technical mentor for AI Engineers and Data Scientists on the team.
Architect Retrieval-Augmented Generation (RAG) systems using AWS Bedrock, OpenAI and other vector DBs.
Design AI agent workflows and orchestration pipelines leveraging LangChain, DSPy, or custom frameworks.
Integrate MLOps and LLMOps best practices, including model monitoring, retraining, and automated deployments.
Support AI use cases including: Natural language interfaces (chatbots, question-answering)Document understanding (OCR/IDP) Search and summarization Enterprise automation using LLM agents
Design scalable data and feature pipelines to support ML/AI workloads using tools like Glue, Step Functions, and S3.
Technical Thought Leadership
Contribute to internal playbooks and reusable templates to accelerate AI adoption across projects.
Promote responsible AI practices including data governance, privacy, transparency, and fairness.
Required Qualifications Technical:
5+ years of experience in designing and delivering AI/ML solutions in cloud environments (AWS preferred).
AWS SageMaker, Bedrock, Step Functions, Lambda Retrieval-Augmented Generation (RAG) pipelines Vector databases such as FAISS, Pinecone, Weaviate AI orchestration frameworks like LangChain, DSPy
Strong Python and SQL programming skills
Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience with containerized workloads, CI/CD, and monitoring
Exposure to data lakes, real-time streaming systems, and batch ETL
Ability to lead discovery workshops and present AI architectures to both technical and non-technical audiences
Databricks: Understanding of cloud data architectures and governance frameworks
Retirement Savings Matching Program (RRSP)
Remote first work environment
Flexible work hours & location
Paid parental leave options
Employer paid health & dental premiums
~ 500 in Health Care Spending Account annually

Training reimbursement (e.OpsGuru is committed to an equitable employee experience, opportunity, and support.