Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
We are seeking a Senior AI Engineer (Level II) to join the Customer Authentication Strategy & Performance (CASP) – Advanced Analytics & AI team. This role will lead the design and deployment of cutting-edge AI and agentic AI solutions focused on enterprise authentication and fraud prevention. You will architect large-scale intelligent systems, including multi-agent workflows, LLM orchestration, retrieval-augmented generation (RAG), and automation pipelines, while ensuring compliance with AI governance and enterprise standards.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- Education: Master’s or PhD in Computer Science, Engineering, Applied Mathematics, or related field.
- Experience: 5–8 years in AI/ML engineering with proven success in building and scaling production-grade AI systems.
Technical Expertise:
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Hands-on experience deploying LLMs, RAG pipelines, and multi-agent orchestration at scale.
- Solid understanding of cloud infrastructure (Azure, Databricks, Kubernetes, Docker, MLflow).
- Proficiency in data engineering (Spark, SQL), APIs, and microservice architecture.
- System Design: Ability to architect scalable solutions and evaluate trade-offs between performance, cost, and compliance.
Governance & Compliance:
- Familiarity with responsible AI guidelines, security standards, and data privacy requirements.
Soft Skills:
- Excellent communication and mentoring abilities; comfortable presenting technical concepts to executives and cross-functional teams.
Nice to Have Skills & Experience
- Experience in financial services, fraud prevention, identity proofing, or risk analytics.
- Knowledge of AI governance standards and model validation best practices in regulated environments.
- Hands-on experience integrating third-party AI platforms (OpenAI Enterprise, Anthropic Claude, Azure OpenAI, etc.).
- Exposure to observability frameworks for model drift, bias detection, latency, and throughput monitoring.
- Prior experience leading POCs (proof of concepts) for emerging AI technologies and evaluating enterprise adoption potential.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.