Lead Software Engineer - AI Application (Corporate Technology)

ARCHER; Jersey City (NJ); Presencial; USD 180.000 - 260.000; Tempo integral

Benefícios oferecidos por esta vaga

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Commission-Based Pay (Eligible Roles)

Discretionary Incentive Compensation

Resumo da vaga

ARCHER leads the architecture and delivery of scalable agentic AI platforms and cloud-native AWS services for enterprise Finance workflows. This role drives evaluation, observability, security, reliability, and cost management while mentoring engineers and guiding technical direction across teams.

Requires five+ years in applied software engineering, advanced Python, and a track record shipping production LLM applications with agentic workflows, tool integrations, and RAG.

Qualificações

• Requires at least five years of applied software engineering experience.
• Advanced Python skills and track record of architecting and shipping production LLM applications with agentic workflows.
• Experience with tool integrations, RAG, and enterprise AI tools.
• Proven technical leadership and safe, effective use of enterprise-approved AI development tools.
• Experience with AWS cloud-native services and responsible AI practices.

Responsabilidades

• Lead architecture and hands-on delivery of scalable agentic AI platforms.
• Establish standards for evaluation, observability, security, reliability, and cost management.
• Mentor engineers and influence technical direction across teams.

Conhecimentos

Python

Generative AI

Agentic AI

Large Language Models

AWS

Amazon Bedrock

Google Vertex AI

LangChain

LangGraph

Retrieval-Augmented Generation

Vector Databases

Semantic Search

Prompt Management

Cloud-Native Architecture

Kubernetes

Technical Leadership

Descrição da vaga

Lead the architecture and hands-on delivery of scalable, production-grade agentic AI platforms and cloud-native AWS services for enterprise Finance workflows. Establish standards for evaluation, observability, security, reliability, and cost management while mentoring engineers and influencing technical direction across teams.

Requirements

Requires at least five years of applied software engineering experience, advanced Python skills, and a track record of architecting and shipping production LLM applications with agentic workflows, tool integrations, and RAG. Candidates must demonstrate technical leadership and safe, effective use of enterprise-authorized AI development tools, with experience in AWS cloud-native services and responsible AI practices.

Key Skills

• Python
• Generative AI
• Agentic AI
• Large Language Models
• AWS
• Amazon Bedrock
• Google Vertex AI
• LangChain
• LangGraph
• Retrieval-Augmented Generation
• Vector Databases
• Semantic Search
• Prompt Management
• Cloud-Native Architecture
• Kubernetes
• Technical Leadership

Benefits

• Health Care Coverage
• On-Site Health And Wellness Centers
• Retirement Savings Plan
• Backup Childcare
• Tuition Reimbursement
• Mental Health Support
• Financial Coaching
• Commission-Based Pay (Eligible Roles)
• Discretionary Incentive Compensation