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Sr. AI Engineering Manager

McCain Foods


Job Location:

Gurgaon - India

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (15 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Position Title:Sr. AI Engineering Manager

Position Type: Regular - Full-Time

Requisition ID:44097

In every role McCainers are ambitious curious and passionate about creating exceptional work experiences - together. With a customer-first mindset we make doing business with McCain easy.
About the role.
We are seeking a high-performing AI Engineering & Software Manager to lead the execution deployment and operationalization of Artificial Intelligence solutions across the enterprise. This role combines deep software engineering expertise advanced AI/ML knowledge and strong delivery leadership to drive the successful development deployment and scaling of AI-powered products and platforms.
As an end-to-end owner you will bridge software engineering Generative AI frameworks MLOps and enterprise operations ensuring that AI solutions are secure scalable reliable and aligned with business priorities. You will lead high-performing technical teams partner across functions and establish engineering excellence for production-grade AI systems.
What youll be doing.
  • Lead the end-to-end delivery of AI initiatives from ideation and prototyping through deployment operationalization and production scaling.
  • Drive the transformation of manual and process-intensive workflows into intelligent automated AI-enabled solutions with measurable business impact.
  • Design engineer and deploy reusable foundational AI capabilities including containerized models adaptation workflows optimization frameworks and reference architectures.
  • Establish and enforce technical standards across machine learning generative AI multimodal systems and production software engineering practices.
  • Guide the transition of AI research and prototypes into secure scalable reproducible and enterprise-ready solutions.
  • Provide architectural oversight for AI applications including context management model integration tool orchestration Model Context Protocol (MCP) implementations and secure data handling.
  • Define and manage model evaluation frameworks quality benchmarks validation processes data quality standards and responsible AI guardrails.
  • Partner with platform infrastructure and data engineering teams to optimize compute resources data pipelines deployment automation experiment tracking and observability platforms.
  • Act as a trusted technical advisor to business stakeholders IT teams and leadership to identify prioritize and deliver high-value AI use cases.
  • Lead mentor and develop engineers and applied scientists while fostering a culture of innovation accountability collaboration and operational excellence.
What youll need to be successful.
  • Bachelors Masters or PhD in Computer Science Electrical Engineering Machine Learning Applied Mathematics Physics or a related technical discipline.
  • 13-18 years of experience within software engineering enterprise technology or IT organizations.
  • 6-7 years of hands-on experience in software engineering systems architecture or enterprise application development.
  • 7 years of dedicated AI/ML engineering experience including significant experience deploying Generative AI solutions in production environments.
  • Proven leadership experience managing and scaling engineering teams focused on AI machine learning foundation models multimodal systems or advanced analytics.
  • Deep expertise with Kubernetes container orchestration distributed systems and GPU infrastructure management.
  • Hands-on experience with model serving and inference platforms such as Triton Inference Server vLLM TGI or similar technologies.
  • Experience building and orchestrating enterprise AI and agentic workflows using frameworks such as LangChain LangGraph LlamaIndex AutoGen or related platforms.
  • Strong understanding of MLOps practices experiment tracking model registries CI/CD pipelines deployment automation and AI observability tools including MLflow Weights & Biases Prometheus Grafana Arize or TruLens.
  • Experience deploying AI solutions across one or more modalities including text image video speech audio or multimodal systems.
  • Strong knowledge of secure software development enterprise architecture middleware platforms and infrastructure operations.
  • Demonstrated ability to communicate complex technical concepts trade-offs and risks to both technical and executive audiences.
  • Proven track record of balancing business value engineering quality cost optimization and enterprise scalability.
About the team.
The AI Engineering team is responsible for designing deploying and operating enterprise-scale AI capabilities that drive innovation and business value across the organization. This role will lead a team of AI engineers software developers and applied researchers while collaborating closely with platform engineering infrastructure data cybersecurity and business stakeholders. Together the team delivers scalable secure and production-ready AI solutions that enable the organizations digital transformation journey.
About McCain.
Leadership principles.
At McCain our leadership principles guide how we engage with customers collaborate as a team and achieve success. We focus on understanding customer needs driving innovation empowering people and taking ownership to clear obstacles and deliver results.
AI & Digital Capabilities.
At McCain AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture.
The McCain experience.
We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust empowering us to bring out the best in one another. Here youll find opportunities to learn grow and thrive. Join us and experience why were better together.

McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family:Information Technology

Location(s): IN - India : Haryana : Gurgaon

Company:McCain Foods(India) P Ltd


Required Experience:

Manager


About Company

Company Logo

McCain Foods | Our purpose - 'Celebrating real connections through delicious, planet-friendly food'. We supply delicious frozen French fries, potato specialties, and appetizers to retail and foodservice customers around the globe.

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