Agent Engineer: AI Workflows & Automation Architect

Mphasis; California (MO); On-site; USD 60,000 - 91,500; Full time

Job summary

Mphasis is seeking an Agent Engineer to design and deploy AI-powered agent systems that can reason, plan, and act across enterprise tools, unlocking automation and productivity. Role is in-person in Palo Alto, focusing on building scalable, secure workflows.

You will own prototypes through production, collaborate across teams, and apply rigorous evaluation to ensure reliability and impact in real-world environments.

Qualifications

• Bachelor•s or Master•s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities

• Design and implement agent-based systems using LLMs, tools, memory, and planning, including orchestration and multi-step workflows.
• Build and integrate agent workflows across enterprise systems via APIs and services.
• Develop RAG pipelines to support agent reasoning.
• Implement human-in-the-loop patterns for safety, review, and escalation.
• Define and operationalize evaluation frameworks focusing on accuracy, reliability, and task success.
• Own solutions from prototype through production deployment and monitoring.
• Partner cross-functionally to deliver scalable, secure, and high-impact solutions.

Skills

Python

LLM-based apps

AI/ML integration

Education

Bachelor•s or Master•s in CS/DS or related

Tools

LangChain

Semantic Kernel

Job description

Mphasis is seeking an Agent Engineer to design and deploy AI-powered agent systems that can reason, plan, and act across enterprise tools, unlocking automation and productivity. Role is in-person in Palo Alto, focusing on building scalable, secure workflows.

You will own prototypes through production, collaborate across teams, and apply rigorous evaluation to ensure reliability and impact in real-world environments.