AI/ML system design jobs

Senior System Engineer

Belay Technologies · Posted Nov 11, 2026

Open

Columbia, Maryland, United States
Senior
$168K–$240K per year

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Senior System Engineer

Belay Technologies · Posted Nov 11, 2026

Open

Columbia, Maryland, United States
Senior
$168K–$240K per year

Apply with Referso

Principal AI Engineer

Ecolab · Posted Nov 6, 2026

Open

Bangalore, Karnataka, India
Full-time · Senior
8+ years

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Leading the design and evolution of GenAI and agentic AI systems at a strategic level, setting architectural direction and governance protocols.

Responsibilities

Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
Establish AI governance standards — including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns

Requirements

Nice to have: MCP
Nice to have: A2A orchestration
Nice to have: autonomous agent workflows
Nice to have: open-source contribution
Nice to have: multi-cloud ecosystem

Skills

AI/ML system design GenAI LLMs agentic architectures

Principal AI Engineer

Ecolab · Posted Nov 6, 2026

Open

Bangalore, Karnataka, India
Principal
8+ years

Apply with RefersoAI Apply on careers page

Lead the design and evolution of Ecolab’s GenAI and agentic AI systems at a strategic level.

Responsibilities

Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
Establish AI governance standards — including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns

Requirements

Nice to have: Hands-on implementation of MCP
Nice to have: A2A orchestration
Nice to have: autonomous agent workflows
Nice to have: open-source contributions
Nice to have: AI strategy across multi-product or multi-cloud ecosystem

Skills

AI/ML system design GenAI LLMs agentic architectures

Principal AI Engineer

Ecolab Inc. · Posted Nov 6, 2026

Open

Bangalore, Karnataka, India
Senior
8+ years

Apply with RefersoAI Apply on careers page

Lead the design and evolution of Ecolab’s GenAI and agentic AI systems at a strategic level.

Responsibilities

Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
Establish AI governance standards — including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns

Requirements

Nice to have: Hands-on implementation of MCP
Nice to have: A2A orchestration
Nice to have: autonomous agent workflows
Nice to have: Contributor to open-source GenAI projects
Nice to have: Experience driving AI strategy across multi-product or multi-cloud ecosystem

Skills

AI/ML system design GenAI LLMs

Principal AI Engineer

Ecolab Inc. · Posted Nov 6, 2026

Open

Bangalore, Karnātaka, India
Principal
8+ years

Apply with RefersoAI Apply on careers page

Lead the design and evolution of Ecolab’s GenAI and agentic AI systems at a strategic level.

Responsibilities

Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
Establish AI governance standards — including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns

Requirements

Nice to have: MCP implementation
Nice to have: A2A orchestration
Nice to have: autonomous agent workflows
Nice to have: open-source contribution
Nice to have: AI strategy across multi-product or multi-cloud ecosystem

Skills

AI/ML system design GenAI LLMs agentic architectures

Senior System Engineer

Senior System Engineer

Compensation

Responsibilities

Requirements

Skills

Benefits

Principal AI Engineer

Responsibilities

Requirements

Skills

Principal AI Engineer

Responsibilities

Requirements

Skills

Principal AI Engineer

Responsibilities

Requirements

Skills

Principal AI Engineer

Responsibilities

Requirements

Skills