AI Solution Architect

long term Contract // Toronto ON//Canada . Please share resumes to Amarjeet.Kumar@akkodisgroup.com

Role – AI Solution Architect
12-month contract;
Hybrid role based in Toronto/Waterloo (3 days per week in office)

ACCOUNTABILITIES
Develop and deploy cutting-edge AI and machine learning models to support investment decision-making, portfolio optimization, and risk management.
Collaborate with cross-functional teams to understand business requirements and translate them into effective AI-driven solutions.
Implement and maintain robust data pipelines, ensuring the integrity, security, and accessibility of data used for AI/ML applications by working with SLCs Data Platform.
Working with SLCs Cloud Engineering team, continuously research and evaluate emerging AI/ML techniques, tools, and technologies to identify opportunities for improvement and innovation.
Provide technical leadership and mentorship to junior team members, contributing to the growth and development of the AI/ML capabilities within the firm.
Ensure the scalability, reliability, and performance of AI/ML systems, optimizing for efficiency and cost-effectiveness.
Participate in the development of AI/ML governance policies and best practices to ensure compliance with regulatory requirements and industry standards.
Sun Life inner sourcing: Partnering with SunLife Enterprise teams, drive the needs of SLC by creating a collaborative development approach.

COMPETENCIES/QUALIFICATIONS

• 8+ years experience in data-driven organizations with a focus on end-to-end data science related initiatives.
• 4+ years hands-on experience building applications, data platform and pipelines in cloud-native technologies. Deep technical understanding of Data and Analytics paradigms and technologies – Cloud (AWS, Azure), Databases/Warehouses (Snowflake, Oracle), etc.
• Extensive experience (5+ years) in designing and implementing AI/ML solutions, preferably in the financial services or asset management industry.
• Hands on experience with LLM and embedding models
• Strong programming skills, particularly in Python, experience with Machine Learning frameworks like TensorFlow, PyTorch, or Keras, and familiarity with cloud-based AI/ML platforms.
• Understanding of agent-based AI architectures, agent orchestration, multi-agent frameworks and hybrid RAG-CAG architectures.
• Bachelor’s or master’s degree in computer science or related technical field.
• Proven understanding of modern Digital & CRM technologies.
• Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
• Strong decision making, outcome driven, influencing, leading change and communication skills.