AI/ML Developer

Job Description:

Key Responsibilities:

1. Agentic Platform & Integration Design:

- Define integration strategies across LLMs, knowledge sources, tools, and enterprise systems to enable intelligent automation.

- Architect multi-agent systems and orchestration frameworks for complex business workflows.

- Enable seamless integration of AI capabilities with enterprise applications, platforms, and services.

2. Scalability, Performance & Reliability:

- Establish scalability, performance, and reliability guardrails for AI platforms and workflows.

- Define architectural standards for high availability, fault tolerance, and low-latency processing.

- Ensure AI systems can scale across multiple business units and enterprise workloads.

3. Security, Governance & Compliance:

- Enforce security, governance, and compliance standards (aligned to enterprise policies and regulatory requirements).

- Define frameworks for responsible AI, model explainability, data privacy, and auditability.

- Align AI architecture with risk controls, zero-trust principles, and enterprise security posture.

4. Platform Engineering & DevOps Alignment:

- Define architecture for model lifecycle management, CI/CD pipelines, and MLOps/ModelOps frameworks.

- Ensure integration with deployment pipelines, monitoring systems, and observability platforms.

- Promote adoption of cloud-native and containerized architectures.

5. Strategic Alignment & Leadership:

- Align AI architecture with enterprise roadmap, business priorities, and long-term transformation goals.

- Evaluate emerging technologies and guide strategic investments in AI platforms and tools.

- Mentor engineers and architects; drive architecture governance and design reviews (ARB/PTB alignment)