Role 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 cross functional 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 end to end development cycle of AI models from data curation and prototyping to training evaluation and deployment
• Cross Functional Leadership Lead cross functional 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 program project 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 cloud based 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 or Agile Scrum certification
• Experience with Generative AI LLMs and agentic frameworks Lang Chain OpenAI API
• Experience in a regulated industry eg Healthcare HIPAA 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 problem solving skills Good communication Team collaboration

Educational Qualification

• Minimum BCA MCA BE BTech or equivalent
• Preferred MTech MS

Please Note

• This role is required to support multiple projects Approximate 10 to 12 in parallel
• Should be flexible to work on time zones based on customer alignment
• Should be flexible to support over the weekend for any Migrations If Any

Other Details

Vacancy Type: New Vacancy

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”):

Benefit