''
Sr. AI Engineer at ''
'' is hiring a Sr. AI Engineer in Gurugram, Haryana, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
On this page
1. Job details
''
Sr. AI Engineer
Gurugram, Haryana, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from ''
Position Title:Sr. AI Engineer
Position Type: Regular – Full-Time
Requisition ID: 43986
JOB PURPOSE
The Senior AI Engineer is a hands-on technical leader who designs, builds and operationalizes advanced AI and machine-learning solutions on the McCain AI stack (Azure cloud; Anthropic foundation models; the Distyl agent harness including Distillery, Context Mesh and Refinery; Databricks for data and vector; SAP and Salesforce as systems of record). The role translates complex requirements into scalable, production-ready systems, sets the technical bar for peers, and contributes to engineering standards across AI Platform & Engineering. The Senior AI Engineer operates with high autonomy and influences solution quality across the team. When seconded into a Red use-case pod, the Senior AI Engineer is the senior technical voice paired with the Forward Deployment Engineer and is accountable, with the FDE, for the technical success of the use case.
KEY RESPONSIBILITIES
Advanced AI Development
Design, develop and optimize machine-learning models, agent workflows and AI components on the McCain stack
Lead implementation of complex AI use cases from prototype through production deployment
Improve model performance, scalability and reliability across deployed solutions
Technical Leadership
Serve as a technical expert and informal mentor for AI Engineers
Lead or significantly contribute to design reviews and architecture discussions
Set the example for engineering discipline, testing rigour and operational excellence
Engineering Excellence
Write high-quality, maintainable, well-tested code; lead improvements in testing, deployment and monitoring practices
Identify and remediate technical debt; raise the reuse and abstraction level of the codebase
Production & Operations
Own deployment pipelines and production behaviour of assigned AI services
Monitor model accuracy, drift, latency and system health; drive root-cause analysis for production issues
Cross-Functional Collaboration
Partner with Knowledge Engineering, AI Deployment & Enablement, Use Case Governance & Operations, and Forward Deployment Engineers
Translate complex requirements into clear technical solutions and communicate trade-offs candidly
Responsible AI & Governance
Ensure AI solutions align with McCain security, privacy and Responsible-AI standards
Proactively identify risks (bias, misuse, compliance gaps) and support governance reviews
MEASURES OF SUCCESS
Delivery of complex AI solutions with minimal rework
High reliability and performance of AI systems in production
Positive technical influence on team design and code quality
Reduced incidents, improved monitoring and faster issue resolution
Strong working relationships with Forward Deployment Engineers when seconded
Consistent adherence to security, governance and Responsible-AI practices
KEY QUALIFICATIONS & EXPERIENCE
Bachelor's degree in Computer Science, Engineering or a related field; advanced degree preferred
7+ years of software engineering experience, including significant hands-on AI or machine-learning work
Deep hands-on experience with:
Machine-learning frameworks and production model deployment
Data pipelines, feature engineering and inference services (Databricks preferred)
Foundation-model APIs and agent harnesses (Anthropic, Distyl or equivalent)
Cloud-based AI platforms (Azure preferred) and distributed systems
Strong system design and problem-solving skills
Ability to lead technically without formal authority
Experience in enterprise or regulated environments is a plus
OTHER INFORMATION
Senior individual contributor role with significant technical ownership
No direct people management
Reports to an AI Engineering Manager; when seconded to a Red use-case pod, takes day-to-day direction from the Forward Deployment Engineer
May require occasional after-hours work for production releases or incidents
Expected to uphold high standards for ethical and responsible AI use
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 know and 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 McCain’s Global Privacy Policy and 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
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of ''’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Sr. AI Engineer interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens ''’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. '' runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
Apply for Sr. AI Engineer at ''
Apply on the employer’s site →
To apply for this job please visit careers.mccain.com.