Senior AI Lead
Top Benefits
About the role
Engineering
Montreal, QC
18656BR
About the role
-**Strategic Vision & Roadmap –**Define and execute an end to end AI vision that aligns with business goals and regulatory requirements. -**Use Case Prioritization & Model Selection –**Evaluate potential AI applications based on business value, technical feasibility, ROI; recommend investments and technology adoptions to craft a prioritized roadmap. -**Performance Monitoring –**Continuously evaluate AI effectiveness, adjust strategies, and refine the roadmap using measurable performance metrics. Set KPIs that evaluate profitability, accuracy, and speed of deployed AI systems. -**Cross functional Alignment –**Partner with product, data engineering, business, and senior leaders to translate customer problems into AI driven solutions. -**Requirements & Design –**Work with product line managers and engineers to capture needs, create efficient software designs, and select appropriate models. -**Stakeholder Engagement –**Coordinate with data scientists, analysts, and business stakeholders to design, test, and roll out AI systems. -**Leadership & Mentorship –**Lead collaboration efforts, mentor junior members, and nurture a culture of innovation and continuous improvement. -**MLOps & Operations –**Build and maintain MLOps pipelines that support data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement. Implement best practices for deployment, monitoring (observability, guardrails, evaluation), security, and compliance. -**Innovation –**Stay current with AI advancements, computer vision, generative AI, LLM/VLM architectures, applied machine learning, research emerging technologies, and prototype new patterns. -**Technical Leadership –**Lead feasibility studies, proofs of concept, and R&D for emerging technologies. Evaluate and integrate cutting edge tools, frameworks, and cloud native solutions (AWS, GCP, Azure). -**Governance & Risk Management:**Establishing frameworks for responsible and ethical AI, addressing security, data privacy, governance standards, bias, transparency, and regulatory compliance mitigating risks like hallucinations or algorithmic bias. -Architecture & Development: Architect and build robust, scalable AI/ML systems, often involving Gen AI (LLMs, RAG, agents) or traditional models, using cloud platforms (AWS, Azure, GCP).
What you bring to the role
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a closely related field.
- Ten or more years of professional experience in data science, AI/ML engineering, high level architectural design, and large scale AI/ML solution development, with at least five years in a technical leadership or management capacity.
- Proven experience in strategy development—particularly around AI/ML and digital transformation—and a track record of productionizing models at scale.
- Demonstrated expertise implementing MLOps practices (data pipelines, experimentation, serving, monitoring, retraining).
- Hands on experience building solutions for cloud environments (AWS preferred) or for edge/embedded systems (Ubuntu, AI accelerators, device hardware), with a deep understanding of performance trade offs.
- Strong software engineering fundamentals, capable of delivering scalable, production ready ML systems.
- Excellent communication skills and the ability to explain complex ML concepts clearly to both technical and non technical audiences.
- Technical proficiency in Python, ML frameworks, MLOps tools, cloud platforms (Azure, AWS, GCP), data pipelines, vector databases, LLMs, and NLP.
- Extensive experience with deep learning frameworks, time series analysis, predictive modeling, and NLP.
- Demonstrated ability to evaluate third party LLM/VLM and AI services and to make well grounded recommendations.
Additional skills desired for the role
- Experience with computer vision, LLMs, multimodal models, and applied AI in real‑world contexts.
- Exposure to video data pipelines: ingestion, streaming, storage, indexing, and analytics at scale.
- Experience delivering ML‑powered features*within cross‑functional Agile teams**.
- Experience implementing agentic AI workflows or similar orchestration patterns.*
- Familiarity with*C++ / Rust or **modern web languages (JavaScript/TypeScript)}.
- Familiarity with SageMaker, Flyte, Bedrock, or other cloud‑based AI frameworks.
- Expertise in predictive analytics, deep learning architectures, and text analytics (NLP).
- Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.
- Knowledge of high‑performance AI computing platforms, Linux, and shell scripting in AI computing environments.
- Familiarity with cloud services – Azure (preferred), AWS, GCP.
Language Requirements in Quebec
Knowledge of the English language is required for this role as the position described in this posting requires the candidate to communicate every day with a virtual team outside Quebec as well as communicate with different members of the organization, clients and suppliers located outside of Canada. For engineering positions, the candidate must also be able to read or modify technical documents from our main clients and write technical documents for these same clients.
What we offer you
We walk our talk when it comes to work/life balance! Your physical, mental and financial wellbeing matters to us. On top of working in a highly supportive, friendly, respectful environment, this is what you can expect when you join our team as a Regular Full-Time employee:
- Flexible, compressed work schedules, depending on business requirements, where you have the option of Fridays off, as well as the possibility to work remote part-time
- Competitive compensation
- Time to recharge with vacation, personal days, holidays, and parental leaves
- Comprehensive Family Medical, Dental and Vision coverage available on your first day of employment, along with:
- Virtual Health Care (24/7 access to medical professionals)
- A Wellness Spending Account to aid in your wellness journey
- Employee & Family Assistance Program (EFAP) which includes free face to face counselling sessions
- Medical Travel Insurance
- Onsite fitness facilities at our main office locations
- A Registered Retirement Savings Plan that includes matching company contributions on your first day of employment, that also includes access to Financial Advisors providing investment advice and comprehensive financial planning
- Employee discounts to save on goods, services and various recreational activities
- Access to a robust spectrum of development resources to enhance your skills and/or advance your career including:
- Free learning resources through a modern and engaging platform
- Education Assistance Program
- Reimbursement for a professional membership
- Self-directed Mentoring
Salary Range
160,650 - 223,120
About us
Headquartered in Ottawa, Lockheed Martin Canada is the Canadian unit of Lockheed Martin Corporation, a global defense technology company driving innovation and advancing scientific discovery. Our all-domain mission solutions and 21st Century Security® vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready. We operate major facilities in Ottawa, Montreal, Halifax, Calgary and Victoria and work on a wide range of programs from advanced naval technology products, aircraft sustainment, and unmanned systems software. This position is part of the Rotary and Mission Systems business area, where employees across Canada support engineering, systems integration, training, sustainment and in-service support programs for Canadian and international military customers across land, air and sea.
Equal Opportunity Statement
Lockheed Martin is committed to upholding principles of equal opportunity, fostering a work environment that is aligned with our core values of integrity, respect, and exceptional performance. We recognize the importance of leveraging the unique talents and experiences of all our employees to drive innovation, deliver superior solutions, and maximize value for our customers. Our focus is on identifying the most qualified candidate for each role, regardless of their background. If you are interested in a position, we invite you to share how your skills and perspectives could bolster our team and encourage you to apply, even if you feel your qualifications do not fully meet all the job criteria outlined in our advertisement. Furthermore, Lockheed Martin is dedicated to ensuring our recruitment process is inclusive for all individuals. We are prepared to accommodate reasonable adjustments for applicants as needed.
Employee Type
Full Time
Vacancy Type
Permanent
Security requirement for this role
Controlled Goods Program
Clearance required for role
Nato Secret
About Lockheed Martin
We connect customers with integrated solutions & predictive technologies to ensure they stay ahead of emerging threats.
Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
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Senior AI Lead
Top Benefits
About the role
Engineering
Montreal, QC
18656BR
About the role
-**Strategic Vision & Roadmap –**Define and execute an end to end AI vision that aligns with business goals and regulatory requirements. -**Use Case Prioritization & Model Selection –**Evaluate potential AI applications based on business value, technical feasibility, ROI; recommend investments and technology adoptions to craft a prioritized roadmap. -**Performance Monitoring –**Continuously evaluate AI effectiveness, adjust strategies, and refine the roadmap using measurable performance metrics. Set KPIs that evaluate profitability, accuracy, and speed of deployed AI systems. -**Cross functional Alignment –**Partner with product, data engineering, business, and senior leaders to translate customer problems into AI driven solutions. -**Requirements & Design –**Work with product line managers and engineers to capture needs, create efficient software designs, and select appropriate models. -**Stakeholder Engagement –**Coordinate with data scientists, analysts, and business stakeholders to design, test, and roll out AI systems. -**Leadership & Mentorship –**Lead collaboration efforts, mentor junior members, and nurture a culture of innovation and continuous improvement. -**MLOps & Operations –**Build and maintain MLOps pipelines that support data preparation, experimentation, training, evaluation, model versioning, serving, monitoring, and continuous improvement. Implement best practices for deployment, monitoring (observability, guardrails, evaluation), security, and compliance. -**Innovation –**Stay current with AI advancements, computer vision, generative AI, LLM/VLM architectures, applied machine learning, research emerging technologies, and prototype new patterns. -**Technical Leadership –**Lead feasibility studies, proofs of concept, and R&D for emerging technologies. Evaluate and integrate cutting edge tools, frameworks, and cloud native solutions (AWS, GCP, Azure). -**Governance & Risk Management:**Establishing frameworks for responsible and ethical AI, addressing security, data privacy, governance standards, bias, transparency, and regulatory compliance mitigating risks like hallucinations or algorithmic bias. -Architecture & Development: Architect and build robust, scalable AI/ML systems, often involving Gen AI (LLMs, RAG, agents) or traditional models, using cloud platforms (AWS, Azure, GCP).
What you bring to the role
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a closely related field.
- Ten or more years of professional experience in data science, AI/ML engineering, high level architectural design, and large scale AI/ML solution development, with at least five years in a technical leadership or management capacity.
- Proven experience in strategy development—particularly around AI/ML and digital transformation—and a track record of productionizing models at scale.
- Demonstrated expertise implementing MLOps practices (data pipelines, experimentation, serving, monitoring, retraining).
- Hands on experience building solutions for cloud environments (AWS preferred) or for edge/embedded systems (Ubuntu, AI accelerators, device hardware), with a deep understanding of performance trade offs.
- Strong software engineering fundamentals, capable of delivering scalable, production ready ML systems.
- Excellent communication skills and the ability to explain complex ML concepts clearly to both technical and non technical audiences.
- Technical proficiency in Python, ML frameworks, MLOps tools, cloud platforms (Azure, AWS, GCP), data pipelines, vector databases, LLMs, and NLP.
- Extensive experience with deep learning frameworks, time series analysis, predictive modeling, and NLP.
- Demonstrated ability to evaluate third party LLM/VLM and AI services and to make well grounded recommendations.
Additional skills desired for the role
- Experience with computer vision, LLMs, multimodal models, and applied AI in real‑world contexts.
- Exposure to video data pipelines: ingestion, streaming, storage, indexing, and analytics at scale.
- Experience delivering ML‑powered features*within cross‑functional Agile teams**.
- Experience implementing agentic AI workflows or similar orchestration patterns.*
- Familiarity with*C++ / Rust or **modern web languages (JavaScript/TypeScript)}.
- Familiarity with SageMaker, Flyte, Bedrock, or other cloud‑based AI frameworks.
- Expertise in predictive analytics, deep learning architectures, and text analytics (NLP).
- Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.
- Knowledge of high‑performance AI computing platforms, Linux, and shell scripting in AI computing environments.
- Familiarity with cloud services – Azure (preferred), AWS, GCP.
Language Requirements in Quebec
Knowledge of the English language is required for this role as the position described in this posting requires the candidate to communicate every day with a virtual team outside Quebec as well as communicate with different members of the organization, clients and suppliers located outside of Canada. For engineering positions, the candidate must also be able to read or modify technical documents from our main clients and write technical documents for these same clients.
What we offer you
We walk our talk when it comes to work/life balance! Your physical, mental and financial wellbeing matters to us. On top of working in a highly supportive, friendly, respectful environment, this is what you can expect when you join our team as a Regular Full-Time employee:
- Flexible, compressed work schedules, depending on business requirements, where you have the option of Fridays off, as well as the possibility to work remote part-time
- Competitive compensation
- Time to recharge with vacation, personal days, holidays, and parental leaves
- Comprehensive Family Medical, Dental and Vision coverage available on your first day of employment, along with:
- Virtual Health Care (24/7 access to medical professionals)
- A Wellness Spending Account to aid in your wellness journey
- Employee & Family Assistance Program (EFAP) which includes free face to face counselling sessions
- Medical Travel Insurance
- Onsite fitness facilities at our main office locations
- A Registered Retirement Savings Plan that includes matching company contributions on your first day of employment, that also includes access to Financial Advisors providing investment advice and comprehensive financial planning
- Employee discounts to save on goods, services and various recreational activities
- Access to a robust spectrum of development resources to enhance your skills and/or advance your career including:
- Free learning resources through a modern and engaging platform
- Education Assistance Program
- Reimbursement for a professional membership
- Self-directed Mentoring
Salary Range
160,650 - 223,120
About us
Headquartered in Ottawa, Lockheed Martin Canada is the Canadian unit of Lockheed Martin Corporation, a global defense technology company driving innovation and advancing scientific discovery. Our all-domain mission solutions and 21st Century Security® vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready. We operate major facilities in Ottawa, Montreal, Halifax, Calgary and Victoria and work on a wide range of programs from advanced naval technology products, aircraft sustainment, and unmanned systems software. This position is part of the Rotary and Mission Systems business area, where employees across Canada support engineering, systems integration, training, sustainment and in-service support programs for Canadian and international military customers across land, air and sea.
Equal Opportunity Statement
Lockheed Martin is committed to upholding principles of equal opportunity, fostering a work environment that is aligned with our core values of integrity, respect, and exceptional performance. We recognize the importance of leveraging the unique talents and experiences of all our employees to drive innovation, deliver superior solutions, and maximize value for our customers. Our focus is on identifying the most qualified candidate for each role, regardless of their background. If you are interested in a position, we invite you to share how your skills and perspectives could bolster our team and encourage you to apply, even if you feel your qualifications do not fully meet all the job criteria outlined in our advertisement. Furthermore, Lockheed Martin is dedicated to ensuring our recruitment process is inclusive for all individuals. We are prepared to accommodate reasonable adjustments for applicants as needed.
Employee Type
Full Time
Vacancy Type
Permanent
Security requirement for this role
Controlled Goods Program
Clearance required for role
Nato Secret
About Lockheed Martin
We connect customers with integrated solutions & predictive technologies to ensure they stay ahead of emerging threats.
Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.