Program Manager - AI

Job summary

Lead AI and machine learning programs from strategy through production, overseeing model development, data workflows, deployment, and MLOps infrastructure. Coordinate technical and business teams, manage risks and responsible AI practices, and communicate progress, risks, and business value to stakeholders.

Job details

Role description Job Title: Program Manager - AI Location :Toronto, Ontario (Remote) Job Description: Job Overview We are seeking a strategic and execution focused Senior Technical Program Manager to lead our AIML initiatives You will act as the operational backbone of our Artificial Intelligence program partnering with Data Science Engineering and Product teams to translate business objectives into scalable AI solutions The ideal candidate has a strong technical foundation understands the nuances of data pipelines and model deployment MLOps and possesses the leadership skills to guide complex crossfunctional projects from concept to production Key Responsibilities Program Strategy Execution Define structure and drive complex AIML programs aligning them with business goals for automation efficiency and growth AIML Lifecycle Management Oversee the endtoend development cycle of AI modelsfrom data curation and prototyping to training evaluation and deployment CrossFunctional Leadership Lead crossfunctional teams data scientists ML engineers software engineers data engineers to deliver integrated AIML features on time Risk Mitigation Problem Solving Proactively identify technical data and adoption risks implementing mitigation strategies eg managing data dependencies addressing model latency Responsible AI Governance Champion ethical AI practices ensuring compliance with data privacy security and fairness standards Infrastructure Tooling Coordinate with DevOps and infrastructure teams to ensure robust MLOps including cloud infrastructure readiness eg Azure GCP AWS and model monitoring Stakeholder Communication Serve as the primary liaison between technical teams and business stakeholders clearly communicating progress risks and ROI Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field 5 years of experience in technical programproject management with at least 3 years delivering AIML data science or advanced analytics solutions Intermediate to advanced knowledge of AIML methodologies data engineering and data science workflows Proven experience working with cloudbased AI platforms Azure ML or AWS SageMaker or GCP Vertex AI Strong familiarity with Agile methodologies and tools such as Jira Confluence or Azure DevOps Excellent communication skills with the ability to bridge technical detail and business impact Certifications Must Have two out of the following AI102 Microsoft Certified Azure AI Engineer Associate DP100 Microsoft Certified Azure Data Scientist Associate AI900 Microsoft AI Fundamentals Preferred Qualifications Masters degree or PhD in a relevant technical field PMP PgMP or AgileScrum certification Experience with Generative AI LLMs and agentic frameworks LangChain OpenAI API Experience in a regulated industry eg HealthcareHIPAA Financial Services Certifications Must Have one out of the following AI102 Microsoft Certified Azure AI Engineer Associate DP100 Microsoft Certified Azure Data Scientist Associate Certifications Good to Have AI102 Microsoft Certified Azure AI Engineer Associate DP100 Microsoft Certified Azure Data Scientist Associate Databricks Professional Certificate in Large Language Models Soft Skills Good customer connects Prepare reports for internal reporting Positive attitude and excellent communication skills to manage customer calls Excellent problemsolving skills Good communication Team collaboration Educational Qualification Minimum BCAMCABEBTech or equivalent Preferred MTechMS Other details Vacancy Type: New Vacancy Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Health Care Spending Account Short Term and Long-Term Disability Coverage Life Insurance Annual vacation and other Paid Leaves Maternity Leave Top Up Pay The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Accessibility and Reasonable Accommodation: LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at applicantaccommodation.canada@ltimindtree.com so that arrangements can be made for the appropriate accommodations to be in place.

What you’ll do

Lead AI and machine learning programs from strategy through production, overseeing model development, data workflows, deployment, and MLOps infrastructure. Coordinate technical and business teams, manage risks and responsible AI practices, and communicate progress, risks, and business value to stakeholders.

Requirements

Requires a bachelor’s degree or equivalent and at least five years of technical program or project management experience, including three years delivering AI/ML, data science, or advanced analytics solutions. Candidates should have AI/ML and data workflow knowledge, experience with a cloud AI platform, Agile tools and methods, and two specified Microsoft AI or data science certifications.

Benefits

• Medical Insurance • Dental Insurance • Vision Insurance • Health Care Spending Account • Short-Term Disability Coverage • Long-Term Disability Coverage • Life Insurance • Annual Vacation • Paid Leaves • Maternity Leave Top-Up Pay

Listed skills

• Problem solving · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Technical Program Management
• Artificial Intelligence
• Machine Learning
• Data Engineering
• Data Science
• MLOps
• Cloud AI Platforms
• Agile Methodologies
• Cross-Functional Leadership
• Risk Mitigation
• Responsible AI Governance
• Stakeholder Communication
• Model Deployment
• Generative AI
• Large Language Models
• Problem-Solving

Job areas

• Technology
• Management & Leadership
• Data & Analytics
• Software
• Consulting