Lead AI / ML Platform Engineer

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.

If you’re interested in learning more about this opportunity or would like to discuss your qualifications, please apply now.