AI Engineer

Address:

BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

About the Role

We are seeking a talented and experienced Machine Learning Engineer to join our Data Cognition Team at BMO Capital Markets. As a Machine Learning Engineer, you will be responsible for developing and implementing AI solutions with a specific focus on LLMs (Language Models) and Generative AI. You will work with the Data Cognition Team (DCT) to design, develop, and deploy scalable, customizable, and human-centric AI products that drive business growth and deliver value to our clients. As an engineer in our firm, you will work on the engineering aspects of Language Models and Generative Artificial Intelligence (AI), contributing to the development of innovative solutions in these fields.

**Important**

To ensure that we attract top talent, we require all applicants to answer screening questions listed below. Please include your responses at the beginning of your resume before any other content.

1. Briefly explain how your qualifications, including your education and work experience, align with the job description you are applying for ?

2. What interests you about finance, Capital Markets, and BMO?

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets offers a scalable, customizable, and sustainable suite of core AI-enabled products for various business units. With access to the latest AI research and applications, we develop products that solve the most challenging business problems. Our methodology drives strategic processes impacting multiple business units, including Investment Banking, and Global Markets.

Responsibilities

• Utilize advanced knowledge of design and analysis methodologies to work in a full stack AI team and demonstrate excellent problem-solving and analytical skills.

• Communicate closely with stakeholders to understand their needs and develop applications.

• Architect and enable distributed compute solutions for LLM workloads, improving efficiency and scalability by leveraging appropriate storage hardware and data formats.

• Optimize performance by identifying and addressing latency contributors, such as IO bottlenecks and inefficient data shuffling. Scale models using distributed training techniques.

• Parallelize inference processing to improve prediction latency and optimize inference pipelines for enhanced system performance.

• Provide subject matter expertise in Graph and Vector databases, including use cases such as Knowledge Graphs and RAG.

• Design and develop multi-agent systems to enable collaborative decision-making and coordination among multiple tools, incorporating entity extraction, summarization, and language tools.

• Implement observability and monitoring solutions for LLMs, ensuring comprehensive monitoring of model performance and system health.

• Implement robust testing frameworks to assess model performance, reliability, and scalability under various conditions, including prompt robustness.

• Manage infrastructure and design large-scale systems, diagnosing and mitigating both model and system failures.

• Utilize AI-driven data quality techniques to ensure high-quality data and services, mitigating reputation risk.

• Build, deploy, and monitor complex microservice architectures using technologies like Docker, Kubernetes, and infrastructure as code in a hybrid environment.

• Leverage advances in agent-based models to develop AI systems capable of autonomous decision-making and self-improvement.

• Integrate multi-agent systems with reinforcement learning techniques to enable adaptive and robust AI solutions.

• Explore the implementation of conversational AI agents for enhanced user interactions.

• Stay updated with the latest research and trends in AI agents and incorporate innovative approaches to improve AI applications.

Qualifications

• Education: Bachelor's or Graduate degree in Computer Science, Physics, Electrical Engineering, or related fields. Strong knowledge of machine learning, deep learning, or natural language processing is required. Familiarity with finance, economics, or related domains is preferred.

• Strong programming skills: Experience in multiple programming languages and eagerness to learn new ones.

• Experience: Experience in solving problems in finance is highly desirable.

• Familiarity with tools such as Langfuse, LangGraph, Milvus, or similar, is essential

• Technical skills: Proficiency in Python and relevant ML frameworks. Strong understanding of LLM architectures and applied generative AI techniques. Experience with distributed computing, containerization, and infrastructure management is required.

• Engineering mindset: Strong problem-solving skills with a focus on engineering aspects of LLMs and AI, including scalability, performance, and efficiency. Experience with software engineering best practices, version control systems, and agile development methodologies. Proficiency in dealing with complex concepts in a clear and concise manner.

• Communication and teamwork: Excellent communication skills, both written and verbal, to collaborate effectively with cross-functional teams in the finance domain. Ability to explain complex concepts to non-technical stakeholders.

• Financial domain knowledge is a plus: Familiarity with investment banking concepts, financial markets, risk assessment, and trading strategies. Understanding of financial data formats (e.g., time series, tick data).

Join our team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using cutting-edge AI and generative AI technologies. Apply today with your resume, highlighting your relevant experience in engineering and finance.

We are considering professionals at the Analyst, Associate and Vice President level.

The salary range for this role is $90,000 up to $150,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.