Principal Ai Engineer (Remote in CT)

Kelly Services; Hartford (CT); Teletrabalho; USD 180 000 - 245 000; Tempo integral

Resumo da oferta

Motion Recruitment Partners is seeking a Principal AI Engineer to lead architectural decisions for enterprise AI platforms. This fully remote role is open to candidates in Connecticut, offering substantial ownership of AI infrastructure, deployment, and governance.

The ideal candidate will have 10+ years in software or cloud, hands-on LLM deployment, and strong Python/TypeScript skills, with a track record of driving scalable AI systems in production.

Qualificações

• 10+ years of software engineering or cloud infrastructure experience.
• Experience leading architectural decisions and technical direction.
• Production experience with AI/ML platforms.
• Hands-on LLM deployment at scale.
• Strong AWS and containerized workloads knowledge.
• Proficient in Python and TypeScript.
• Experience with CI/CD and automation.
• Solid observability and monitoring understanding.
• Secure, multi-tenant platform experience.
• Excellent cross-team communication and collaboration.

Responsabilidades

• Lead architectural decisions for enterprise AI platforms.
• Design infrastructure for model deployment, governance, and scalability.
• Build real-time and batch processing workloads.
• Define model lifecycle standards (versioning, promotion, rollback).
• Create secure multi-tenant AI frameworks.
• Ensure AI outputs meet quality and reliability goals.
• Implement production monitoring and observability for AI systems.
• Improve system performance, resiliency, and scalability.
• Collaborate with engineers, data teams, and security stakeholders.
• Establish best practices for AI engineering and deployment.
• Lead technical design reviews and mentor engineers.
• Evaluate emerging AI technologies and adoption opportunities.
• Support infrastructure automation and cloud-native deployment.

Conhecimentos

Senior software engineer

Distributed systems

Technical lead/architect

AI/ML platforms

LLMs deployment

RAG & vector search

Python & TypeScript

APIs & backend

AWS & containers

IaC (CloudFormation/CDK)

CI/CD automation

Observability

Security multi-tenant

Communication

Ferramentas

CloudFormation

CDK

Docker

Kubernetes

CI/CD tooling

Descrição da oferta de emprego

$180000 - $245000

Job DescriptionA rapidly expanding organization at the forefront of artificial intelligence, cloud technologies, and large-scale data platforms is seeking a Principal AI Engineer to join its fully remote engineering team. This opportunity is open to candidates residing in Connecticut who are excited by the challenge of building enterprise-grade AI systems used in highly complex and data-intensive environments.

As a Principal AI Engineer, you will be responsible for defining and executing the technical strategy for machine learning operations, generative AI infrastructure, and intelligent application platforms. You'll work across cloud architecture, distributed systems, AI deployment, and platform engineering to ensure scalable, secure, and reliable AI services.

This role offers significant technical ownership for an engineer who enjoys solving difficult architecture problems, leading large initiatives, and bringing cutting edge AI capabilities into production environments. You will partner with engineering, data, security, and product teams to create platforms that support everything from model deployment and inference to observability, governance, and optimization.

Required Skills & Experience

• 10+ years of software engineering, cloud infrastructure, or platform engineering experience

• Strong track record designing and supporting large-scale distributed systems

• Experience serving as a technical lead, architect, principal engineer, or similar senior‑level contributor

• Extensive experience developing and operating AI/ML platforms in production environments

• Hands‑on experience deploying and supporting Large Language Models (LLMs) at scale

• Deep understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, prompt management, and AI orchestration

• Expert‑level Python and TypeScript development skills

• Experience building secure, scalable APIs and backend services

• Strong knowledge of AWS cloud services and containerized workloads

• Experience with Infrastructure as Code using CloudFormation, CDK, or comparable frameworks

• Understanding of CI/CD methodologies and automation practices

• Expertise implementing observability solutions including monitoring, alerting, logging, and distributed tracing

• Experience securing multi‑tenant platforms and managing sensitive data requirements

• Excellent communication skills with the ability to influence technical direction across teams

Desired Skills & Experience

• Experience with advanced LLM orchestration and agent frameworks

• Knowledge of AI evaluation pipelines, model testing strategies, and quality measurement systems

• Familiarity with AI cost optimization, GPU utilization, and inference efficiency techniques

• Experience designing agent‑based applications and tool‑calling workflows

• Exposure to multimodal AI solutions involving image, laboratory, or scientific datasets

• Understanding of model optimization techniques including fine‑tuning, quantization, and distillation

• Experience supporting regulated environments with strict compliance requirements

• Background in life sciences, healthcare, scientific research, or laboratory technology domains

What You Will Be Doing Daily Responsibilities

• Lead architectural decisions for enterprise AI and machine learning platforms

• Design and evolve infrastructure supporting model deployment, governance, and scalability

• Build solutions for both real‑time inference and large‑scale batch processing workloads

• Define standards for model lifecycle management, versioning, promotion, and rollback

• Create secure frameworks for AI systems operating across multi‑tenant environments

• Develop processes that ensure AI outputs meet quality, performance, and reliability objectives

• Implement monitoring and observability solutions for production AI systems

• Drive improvements in system performance, resiliency, scalability, and operational efficiency

• Collaborate with software engineers, data teams, and security stakeholders on platform initiatives

• Establish best practices for AI engineering, architecture, and deployment

• Lead technical design reviews and mentor engineers across multiple teams

• Evaluate emerging AI technologies and recommend strategic adoption opportunities

• Support infrastructure automation and cloud‑native deployment processes

The Offer

• Competitive compensation package

• Fully remote position for candidates located in Connecticut

• Opportunity to influence the direction of a rapidly growing AI platform

• High‑visibility leadership role with substantial architectural ownership

• Collaborative engineering culture focused on innovation and continuous improvement

You will receive the following benefits

• Medical Insurance

• Dental Benefits

• Vision Benefits

• Unlimited Paid Time Off (PTO)

• 401(k)

• Life Insurance

• Short‑Term Disability Coverage

• Long‑Term Disability Coverage

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Sponsorship is not available for this position.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.