Senior Engineer - AI & ML

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered Verified - from the job posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company Verified - from the job posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Engineer - AI & ML Chennai, TN, IND We are looking for a highly experienced Senior Engineer with deep expertise in AI and Machine Learning platforms to lead the architecture and engineering of our enterprise AI infrastructure. This role will drive the design and scalability of cloud based AI platforms, ML lifecycle systems, and AI driven engineering capabilities across the organization. The Principal Engineer will play a critical role in enabling production grade AI and ML solutions by building the underlying platform, infrastructure, and automation required to support model development, deployment, monitoring, and governance at scale. This is a senior individual contributor role focused on AI platform architecture, Cloud infrastructure, and AI driven engineering innovation . Required Qualifications 12 or more years of experience in software engineering, platform engineering, or cloud architecture. Strong expertise in AI and machine learning systems and production ML platforms . Experience designing and operating AI or ML platforms at scale . Deep experience with cloud infrastructure such as AWS and distributed systems. Experience with container orchestration platforms such as Kubernetes. Strong understanding of MLOps practices and ML lifecycle management . Programming experience in languages such as Python, Java, or similar. Experience in AWS cloud. Experience working closely with data science teams to operationalize machine learning models. Preferred Qualifications Experience with large scale data processing platforms and AI training environments. Experience deploying real time and batch AI inference systems. Familiarity with generative AI, LLM based systems, or modern AI platforms. Experience in Building solution using

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