AI Engineer

Address:

BMO Capital Markets is a leading fullservice 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 humancentric 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 AIenabled 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 problemsolving 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 multiagent systems to enable collaborative decisionmaking 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 largescale systems diagnosing and mitigating both model and system failures.

• Utilize AIdriven data quality techniques to ensure highquality 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 agentbased models to develop AI systems capable of autonomous decisionmaking and selfimprovement.

• Integrate multiagent 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: Bachelors 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 problemsolving 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 crossfunctional teams in the finance domain. Ability to explain complex concepts to nontechnical 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 cuttingedge 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 $90000 up to $150000 CAD (subject to negotiation and subject to the candidate meeting the specific skills experience education and qualification requirements)

The above represents BMO Financial Groups 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 parttime roles will be prorated based on number of hours regularly worked. For commission roles the salary listed above represents BMO Financial Groups expected target for the first year in this position.

BMO Financial Groups total compensation package will vary based on the pay type of the position and may include performancebased 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: 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. Well support you with the tools and resources you need to reach new milestones as you help our customers reach theirs. From indepth training and coaching to manager support and networkbuilding opportunities well help you gain valuable experience and broaden your skillset.

To find out more visit us at is committed to an inclusive equitable and accessible workplace. By learning from each others 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.