Gen AI Engineer Lead

Job Overview

Job#: 3037828

Location: 100% remote

Duration: 6-month contract (Must be able to work on W2 without sponsorship)

Summary

We are seeking an accomplished and strategic GenAI Product Engineering Lead to drive the design, development, and delivery of an enterprise-grade AI platform on Microsoft Azure. This role is ideal for a technical leader with deep expertise in Generative AI, agent-based systems, Power Platform, and cloud-native engineering. You will lead a multidisciplinary team to build scalable, secure, and intelligent solutions that transform business operations.

Key Responsibilities

Technical Leadership & Team Management

• Lead, mentor, and grow a high-performing engineering team.
• Establish and enforce engineering best practices, focusing on code quality, reliability, and operational efficiency.
• Set technical direction and ensure alignment with enterprise goals.

Enterprise Platform Architecture

• Architect scalable, secure, and resilient AI systems on Azure, working with Large Language Models (LLMs).
• Define Power Platform apps from end-to-end, including backend data pipelines.
• Enforce architectural standards, including microservices, event-driven design, and API-first principles.

Multi-Tenancy & SaaS Architecture

• Architect multi-tenant B2B environments with tenant-aware data partitions using Cosmos DB and Azure AD B2C/Entra ID.
• Build per-tenant vector stores, knowledge bases, and connectors.
• Implement telemetry, metering, and consumption-based billing dashboards.

GenAI & Agent Integration

• Design and implement advanced GenAI solutions, including agent-based systems for automation and orchestration.
• Integrate LLMs, Retrieval-Augmented Generation (RAG), and custom agents.
• Lead design using frameworks such as Semantic Kernel, LangChain, AutoGen, or CrewAI.
• Manage domain-specific fine-tuning and adaptation of LLMs using Azure OpenAI Service.
• Implement automated retraining and evaluation loops.

Model Lifecycle and LLMOps

• Oversee model evaluation, tuning, and continuous improvement cycles (RLHF/synthetic data).
• Establish model-drift detection and retraining triggers.
• Govern token usage, compute allocation, and cost optimization.
• Manage versioning of models, prompts, and embeddings.

Full Stack Management

• Design, develop, and maintain robust full-stack web applications.
• Frontend: React, TypeScript.
• Backend: Python (FastAPI/Flask), Redis.
• Database: SQL and NoSQL (Cosmos DB).

Power Platform Enablement

• Collaborate with stakeholders to enable rapid app development using Power Apps, Power Automate, and Power BI.

Data Engineering & Processing

• Lead the design of data ingestion, transformation, and processing pipelines (Azure Data Factory, Databricks, Synapse).
• Ensure data quality, governance, and compliance.

Compute & Scalability

• Optimize compute resources using Azure Functions, AKS, and serverless architectures.

Security, Compliance & Reliability

• Champion security best practices (identity management, data protection, SOC2, GDPR).
• Establish monitoring, alerting, and incident response protocols.

Required Qualifications

• Proven experience leading engineering teams in building enterprise-grade platforms on Azure.
• Deep expertise in cloud architecture, distributed systems, and scalable frameworks.
• Advanced proficiency in GenAI, agent-based systems, and LLMs (LangChain, Semantic Kernel).
• Strong background in data engineering (ETL, data lakes).
• Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Keras).
• Experience with cloud-native development and microservices.
• Track record of delivering large-scale, multi-tenant platforms.
• Excellent leadership, communication, and stakeholder management skills.
• Experience in Agile, Scrum, or Kanban environments.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with fine-tuning LLMs (Tinker AI, Azure AI Studio, Hugging Face, MosaicML).
• Knowledge of LoRA, PEFT, QLoRA, and prompt-based adaptation.
• Experience with Azure Data Factory, Synapse, Databricks, and Power Platform.
• Experience building and supporting multi-tenant SaaS applications.
• Expertise with Azure AI Services, App Services, Functions, DevOps, and AKS.
• Experience with IaC (Bicep/Terraform) and containerization (Docker/Kubernetes).
• Modern frontend tooling (TypeScript, Redux, Zustand).

About Everforth Apex

Everforth Apex is a world-class IT services company serving clients globally. We value innovation, collaboration, and continuous learning, offering quality career resources, training, and a comprehensive benefits package.

Everforth Apex is an equal opportunity employer.