Senior AI Platform Engineer_REMOTE

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Role

Seniority

Senior From the posting source

Work mode

Remote From the posting source

In-office days

0 days From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior AI Platform Engineer_REMOTE Noida, Uttar Pradesh, India Senior AI Platform Engineer_REMOTE Noida, Uttar Pradesh, India Posted Sunday, February 22, 2026 Designation: Senior AI Platform Engineer_REMOTE Location: Remote Responsibilities (The "AI Platform" Mindset) Centralized Orchestration: Design and implement a robust engineering foundation to host all AI agents and models within Amazon Bedrock, ensuring they are governed, scalable, and deployable across various product lines. Platform over Projects: Move the team away from bespoke, manual model deployments toward a standardized AI Platform model. Build "Internal AI Services" and tools to empower underserved functions like Sales, Legal, Finance, and Accounting. CI/CD & DataOps: Establish automated MLOps pipelines for model training, evaluation, and deployment. Partner with Data Engineering to ensure "DataOps" readiness for high-performance AI features. Augmentation & Governance: Work with our business and product teams to build human-in-the-loop (HITL) workflows that augment, not automate, ensuring all AI features are safe, transparent, and compliant. Operational Excellence: Optimize and scale machine learning infrastructure (AWS/Kubernetes) to support high-performance model training and inference while reducing the "operational debt" of existing GenAI/ML models. Qualifications Must Have 5-7 years of software engineering experience with strong system design skills 2-3 years building and operating production LLM systems, including RAG or agent workflows Led the design and delivery of at least one end-to-end GenAI system from ideation to production Deep expertise in building AI agents, specifically managing state, long-term memory, and multi-turn context Hands-on experience with LLM integration, prompt engineering, structured outputs, and evaluation frameworks, including proficiency with orchestration tools like

Read the full description at jobs.dayforcehcm.com. FewerJobs shows a preview and links to the original posting.