Lead AI/ML Platform Engineer

NorthPoint Search Group; Atlanta (GA); Hybrid; USD 119,000 - 180,000; Full time

Job summary

NorthPoint Search Group is seeking a hands-on Lead AI/ML Platform Engineer to design and execute an enterprise GenAI platform. You will own the strategy and implementation of core AI infrastructure, including prompt workflows, agent context and memory, scalable microservices, and MLOps frameworks, supporting decentralized teams in delivering business value through AI.

Ideal candidates have extensive experience with Dataiku, AWS, OpenAI, Pinecone and vector databases, plus strong leadership and

Qualifications

• Graduation in CS or Engineering with strong academic record.
• 8+ years building ML/AI platforms and 3+ years in technical leadership.
• Hands-on with cloud and MLOps tooling; strong communication and mentoring skills.

Responsibilities

• Architect and lead GenAI platform development (Dataiku, AWS, OpenAI, Pinecone).
• Build and manage AI/ML infrastructure focusing on scalability, security, and cloud-native deployment.
• Develop the MCP server and scalable EKS-based backends.
• Implement CI/CD, MLOps, and IaC standards.
• Establish agent lifecycle governance, evaluation tooling, and feedback loops.
• Enable internal teams with self-service AI tools and provide mentorship.
• Collaborate with offshore developers and translate solutions for non-technical stakeholders.

Skills

Python

SQL

ML/AI Platform Leadership

Communication

Mentorship

OpenAI

LangChain

Vector Databases

Observability

CI/CD

Education

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Tools

AWS

Kubernetes

Terraform/CloudFormation

Dataiku

Snowflake

OpenAI

Pinecone

Job description

Lead AI/ML Platform Engineer

Who

A seasoned engineering leader with 8+ years of experience in building and operating production-grade AI/ML platforms.

What

You'll architect and evolve a GenAI platform, lead platform strategy, mentor teams, and implement scalable and secure AI infrastructure.

When

Immediate need for a full-time hire.

Where

Hybrid opportunity with flexibility based on candidate location.

Why

To accelerate the adoption of reusable GenAI solutions and production-ready agent deployments across a global enterprise.

Office Environment

Collaborative, fast-paced, and innovation-driven, working with onshore and offshore teams.

Salary

$119,000 - $180,000 base, with bonus potential and compensation based on experience and location.

Position Overview

We are seeking a hands-on Lead AI/ML Platform Engineer to drive the design and execution of an enterprise-wide GenAI platform. You'll own the strategy and implementation of core AI infrastructure, including prompt workflows, agent context and memory, scalable microservices, and MLOps frameworks, supporting decentralized teams in delivering business value through AI.

Key Responsibilities

• Architect and lead GenAI platform development (Dataiku, AWS, OpenAI, Pinecone).
• Build and manage AI/ML infrastructure, focusing on scalability, security, and cloud-native deployment.
• Develop the Model Context Protocol (MCP) server and scalable EKS-based backends.
• Implement standards for CI/CD, MLOps, and Infrastructure-as-Code (IaC).
• Establish agent lifecycle governance, evaluation tooling, and feedback loops.
• Enable internal teams with self-service AI tools and provide ongoing mentorship.
• Collaborate with offshore developers and translate technical solutions for non-technical stakeholders.

Qualifications

• Bachelor's degree in Computer Science or Engineering; Master's preferred.
• 8+ years in ML/AI platforms; 3+ years in a technical leadership role.
• Expertise in AWS (EC2, S3, Lambda, EKS), Kubernetes, and Terraform/CloudFormation.
• Strong Python and SQL skills, and experience with high-throughput APIs.
• Practical experience with LangChain, OpenAI, Pinecone, and vector databases.
• Proven success implementing observability, CI/CD, and cost-efficient systems.
• Excellent communication and mentorship capabilities.
• Preferred: Experience with Dataiku, Snowflake, multi-agent systems, and ROI tracking.