equirements Elicitation, Understanding, Analysis, & Management

Understand the project's Vision and requirements, and contribute to the creation of the supplemental requirements, building the low-level technical specifications for a particular platform and/or service solution.

Project Planning, Tracking, & Reporting

Estimate the tasks and resources required to design, create (build), and test the code for assigned module(s).

Provide inputs in creating the detailed schedule for the project.

Support the team in project planning activities, in evaluating risks, and shuffle priorities based on unresolved issues.

During development and testing, ensure that assigned parts of the project/modules are on track with respect to schedules and quality.

Note scope changes within the assigned modules and work with the team to shuffle priorities accordingly.

Communicate regularly with the team about development changes, scheduling, and status.

Participate in project review meetings.

Tracking and reporting progress for assigned modules

Design

Create a detailed (LLD) design for the assigned piece(s) with possible alternate solutions.

Ensure that LLD design meets business requirements.

Submit the LLD design for review.

Fix the detailed (LLD) design for the assigned piece(s) for the comments received from team.

Development & Support

Build the code of high-priority and complex systems according to the functional specifications, detailed design, maintainability, and coding and efficiency standards.

Use code management processes and tools to avoid versioning problems.

Ensure that the code does not affect the functioning of any external or internal systems.

Perform peer reviews of code to ensure it meets coding and efficiency standards.





Act as the primary reviewer to review the application code created by software engineers to ensure compliance to defined standards. Recommend changes to the code as required.

Testing & Debugging

Attend the Test Design walkthroughs to help verify that the plans and conditions will test all functions and features effectively.

Perform impact analysis for issues assigned to self and software engineers.

Actively assist with project- and code-level problem solving, such as suggesting paths to explore when testing engineers or software engineers encounter a debugging problem, and escalate urgent issues.

Documentation

Review technical documentation for the code for accuracy, completeness, and usability.

Document and maintain the reviews conducted and the unit test results.

Process Management

Adhere to the project and support processes.

Adhere to best practices and comply with approved policies, procedures, and methodologies, such as the SDLC cycle for different project sizes.

Shows responsibility for corporate funds, materials and resources.

Ensure adherence to SDLC and audits requirements.

Adhere to best practices and comply with approved policies, procedures, and methodologies.

We are seeking a highly skilled Senior AI Platform Engineer to serve as a technical leader and architect responsible for designing, building, and evolving Guardian's enterprise AI Platform.





This role will provide architecture leadership across the AI platform stack, spanning:

- Experience Plane – AI developer experience, SDKs, AI Studio, agent builder frameworks, developer portals and reusable platform assets
- Control Plane – AI governance, policy enforcement, guardrails, evaluation frameworks, AI registry, observability, and FinOps
- Execution Plane – Agent runtimes, LLM inference, orchestration frameworks, MCP services, AI gateways, RAG infrastructure and production operations

The ideal candidate is a hands-on architect capable of defining platform standards, building reusable capabilities, solving complex engineering challenges, and driving enterprise adoption of AI and Agentic technologies.

Required

- 7+ years of AI Platform Engineering experience.
- 3+ years designing cloud-native distributed platforms.
- 3+ years architecting AI/ML or GenAI platforms.
- Proven experience building enterprise-grade platform capabilities.

Preferred
- Experience building Control Plane architectures.
- Experience with enterprise-scale AI governance.
- Experience supporting production GenAI workloads.
- Experience building AI platforms within regulated industries.

Cloud & Platform Engineering
- AWS
- EKS / Kubernetes
- Serverless Architectures
- Infrastructure as Code
- Terraform
- GitHub Actions
- CI/CD Platforms

AI Platform Technologies
- AWS Bedrock
- Model Gateways
- Vector Databases
- RAG Architectures
- AI Studio Platforms
- Agent Runtime Platforms
- API Gateways

Observability & Operations
- Splunk
- CloudWatch
- OpenTelemetry
- AppDynamics
- Monitoring & Alerting
- LLMOps
- AgentOps

Location: This position can be based in any of the following locations:

Chennai, Gurgaon For internal use only:

R000109712

📌 Senior AI Platform Engineer (Chennai)
🏢 Guardian India
📍 Chennai