Senior Platform Engineer: AI Agent Runtime & Cloud

Lincoln Financial; Radnor (Delaware County); Hybrid; USD 130,000 - 195,000; Full time

Benefits offered by this job

PTO/parental leave

Competitive 401K and employee benefits

Tuition assistance program

Free financial counseling, health and

Job summary

Lincoln Financial seeks an Agentic Platform Engineer to build the shared cloud platform and foundations enabling AI agents and agentic apps. You’ll own runtimes, tool integration, observability, and DevSecOps on AWS, focusing on guardrails and scalable infrastructure.

Responsibilities include developing shared services, enabling CI/CD, and shaping platform standards while collaborating with architecture, security, and risk leaders to maintain governance and cost efficiency.

Qualifications

• 5+ years of experience in platform engineering, cloud infrastructure, DevOps, or SRE with hands-on work building or operating AI/LLM-based applications.
• Strong experience with AWS, including services supporting AI workloads (Bedrock, SageMaker, containers, serverless).
• Practical experience with agent frameworks and LLM tooling such as LangChain/LangGraph, MCP, vector databases, and RAG architectures.
• Strong coding ability in Python; Java or NodeJS is a plus.
• Experience enabling engineering teams through CI/CD, GitLab, observability, reusable services, and platform standards.
• Experience with API infrastructure, containers, deployment pipelines, and operational tooling.

Responsibilities

• Build and maintain shared platform services that support agent runtimes, LLM gateways, model routing, prompt/context management, and tool integration.
• Standardize agentic delivery patterns including tool/function calling, MCP-style tool servers, retrieval pipelines, memory and state management, and multi-agent orchestration.
• Implement guardrails for agent safety: input/output filtering, prompt injection defenses, human-in-the-loop approval paths, sandboxed execution, and least-privilege agent identities.
• Improve developer productivity through CI/CD, environment templates, agent scaffolding, SDKs, and platform automation.
• Build observability and evaluation for agentic systems: tracing, token and cost telemetry, latency, quality/eval harnesses, and regression testing of prompts and agent behavior.
• Manage cost-aware model consumption, rate limits, caching, and secure secrets/access patterns across environments.
• Partner with architecture, security, risk, and engineering leaders to apply AI controls, interoperability standards, and governance guardrails.
• Document platform standards and help delivery teams adopt agentic patterns consistently.

Skills

Python

AWS

LangChain

LangGraph

CI/CD

GitLab

Observability

Containerization

API infrastructure

Security

Tools

Bedrock

SageMaker

Containers

Serverless

LangChain

LangGraph

MCP

Vector databases

RAG architectures

CI/CD tooling

Job description

Lincoln Financial seeks an Agentic Platform Engineer to build the shared cloud platform and foundations enabling AI agents and agentic apps. You’ll own runtimes, tool integration, observability, and DevSecOps on AWS, focusing on guardrails and scalable infrastructure.

Responsibilities include developing shared services, enabling CI/CD, and shaping platform standards while collaborating with architecture, security, and risk leaders to maintain governance and cost efficiency.