L

Lincoln Financial

Insurance, retirement, and financial services provider

Sr. Associate - Agentic Platform Engineer

Platform EngineeringUpdated on Nov 14
Full-time

About the Job

Requirements

  • At least 5 years of experience in platform engineering, cloud infrastructure, DevOps, or site reliability engineering, including hands-on work building or operating AI/large language model applications.
  • Strong experience with AWS, including services supporting AI workloads such as Bedrock, SageMaker, containers, and serverless computing.
  • Practical experience with agent frameworks and large language model tooling such as LangChain or LangGraph, Model Context Protocol, vector databases, and retrieval-augmented generation architectures.
  • Strong coding ability in Python; Java or Node.js is a plus.
  • Experience enabling engineering teams through continuous integration and continuous delivery, 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, large language model gateways, model routing, prompt and context management, and tool integration.
  • Standardize agentic delivery patterns, including tool and function calling, Model Context Protocol-style tool servers, retrieval pipelines, memory and state management, and multi-agent orchestration.
  • Implement guardrails for agent safety, including input and output filtering, prompt injection defenses, human-in-the-loop approval paths, sandboxed execution, and least-privilege agent identities.
  • Improve developer productivity through continuous integration and delivery, environment templates, agent scaffolding, software development kits, and platform automation.
  • Build observability and evaluation for agentic systems, including tracing, token and cost telemetry, latency monitoring, quality and evaluation harnesses, and regression testing of prompts and agent behavior.
  • Manage cost-aware model consumption, rate limits, caching, and secure secrets and access patterns across environments.
  • Partner with architecture, security, risk, and engineering leaders to apply artificial intelligence controls, interoperability standards, and governance guardrails.
  • Document platform standards and help delivery teams adopt agentic patterns consistently.

Desired Qualifications

  • Experience with agent evaluation and large language model observability tools such as LangSmith, LangFuse, Arize, or similar tools.
  • Experience supporting production systems, data platforms, and artificial intelligence or machine learning workloads.
  • Exposure to regulated enterprise environments, identity and access controls, artificial intelligence risk frameworks, and audit logging.

About the Company

Lincoln Financial

Insurance, retirement, and financial services provider

Lincoln Financial Group offers life insurance, annuities, and retirement income products through its network of affiliated companies, and also provides securities and investment advisory services via affiliated broker-dealers. Its products combine insurance coverage or retirement-focused contracts with investment options, where customers fund premiums, choose subaccounts or riders, and receive benefits such as death benefits, living benefits, or guaranteed income in retirement. The company differentiates itself with a family of affiliated brands and distributors that coordinate life, annuity, and advisory products under one umbrella. Its goal is to help individuals and families protect loved ones, plan for retirement, and achieve financial security through integrated protection and investment solutions.

Company size
Not listed
Company stage
Not listed
Total funding
$128.8M
Headquarters
Radnor Township, Pennsylvania
Founded
1905

Recently Posted Jobs

Explore more opportunities at Lincoln Financial

See more jobs