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Key skills for this role
Develop scalable ETL/ELT processes to integrate structured, semi-structured, and unstructured data from diverse systems (applications, APIs, databases).
Enable real-time and event-driven data flows to support autonomous agent decision-making.
Implement robust controls for security, privacy, compliance, and bias mitigation.
Establish observability and audit trails for agentic AI pipelines, ensuring transparency and accountability.
Enrich datasets with semantic context and metadata to power LLM ingestion, RAG pipelines, embeddings, and multi-agent collaboration.
Build connectors and APIs that allow agentic AI systems to dynamically query, retrieve, and act on enterprise data.
Support workflow orchestration across AI agents and business systems.
Develop feedback loops and monitoring systems to detect drift, hallucinations, or risk in autonomous AI actions.
Ensure guardrails (policy enforcement, escalation paths, human-in-the-loop design) are integrated into pipelines and workflows.
Document integration processes, orchestration patterns, and governance standards to ensure reuse and cross-team adoption.
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Provide blueprints for how AI agents interact with structured enterprise data.
Partner with AI Solutions Engineers, governance leads, and business stakeholders to embed data integration into AI-driven workflows.
Drive alignment between technical infrastructure and business value realization from agentic AI.
Proven experience building resilient, scalable data pipelines for structured and unstructured datasets.
Strong skills in SQL, Python, orchestration frameworks (Airflow, Prefect, Dagster) and modern data transformation tools.
Familiarity with cloud platforms (Azure, AWS, Microsoft Fabric) and integration with AI/ML services.
Expertise in data modeling, semantic enrichment, embeddings, and vector databases for LLM/RAG pipelines.
Understanding of agentic AI concepts: workflow orchestration, autonomous decision-making, human-in-the-loop design, and safety guardrails.
Knowledge of data governance practices including AI ethics, security, privacy, compliance, and auditability.
Ability to collaborate with engineers, AI product teams, and business leaders to make enterprise data agent-ready.
The salary range for this position is $140,000 - $160,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.
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For a closer look at how you can build your career with us, we invite you to explore cclgroup.com .
CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.
Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.
Privately owned Canadian asset manager serving individuals, institutional investors and advisors with traditional and alternative investment strategies.
Visit company websiteJobs and hiring trendsUSD 140000-160000 yearly / year
Full-time
Senior
Hybrid
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