Gen AI Engineer Lead

GenAI Engineering Lead

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 and deliver exceptional value to clients and internal users.

Your leadership will be instrumental in shaping the technical direction, fostering innovation, and ensuring operational excellence across all aspects of platform engineering.

seeks an experienced and visionary GenAI Product Engineering Lead to architect, build, and scale our next-generation enterprise platform on Microsoft Azure. You will lead a multidisciplinary team of developers and engineers, driving innovation and operational excellence in building intelligent, secure, and scalable business solutions.

Technical Leadership & Team Management

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

Enterprise Platform Architecture

• Architect scalable, secure, and resilient AI systems on Azure (and other cloud environments as needed), working with Large Language Models (LLMs), and collaborating with cross-functional teams to integrate AI into products and processes. A strong technical foundation in areas like Python, AI/ML frameworks, and cloud platforms, combined with project management and leadership skills, are essential for this role.
• Define Power Platform apps from end-to-end, including backend data pipelines.
• Define and 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  ensure data, security, and cost isolation.
• Build per-tenant vector stores, knowledge bases, and connectors to support customer-specific document ingestion and retrieval.
• Implement telemetry, metering, and consumption-based billing dashboards to track tenant-level usage and optimize resource allocation.

GenAI & Agent Integration

• Design and implement advanced GenAI solutions, including agent-based systems for automation, orchestration, and intelligent workflows.
• Integrate large language models (LLMs), Retrieval-Augmented Generation (RAG), and custom agents with business processes and user-facing applications.
• Lead design using frameworks such as Semantic Kernel, Lang Chain, Auto Gen, or CrewAI to build orchestration among multiple specialized agents.
• Lead domain-specific fine-tuning and adaptation of large language models using Azure OpenAI Service or third-party frameworks (e.g., Tinker AI, LoRA, PEFT, or Delta Tuning).
• Design modular fine-tuning workflows to create tenant-aware or task-specific models that enhance personalization while maintaining shared governance and security.
• Implement automated retraining and evaluation loops to continuously improve response accuracy, tone, and compliance across tenants.
• Design agent toolkits that connect external APIs, databases, and Power Platform components for automated workflows.

Model Lifecycle and LLMOps

• Oversee model evaluation, tuning, and continuous improvement cycles using reinforcement learning from human feedback (RLHF) or synthetic data augmentation.

• Establish model-drift detection and retraining triggers to sustain model performance across customer domains.

• Track usage analytics to measure model performance, accuracy, and user engagement.

• Govern token usage, compute allocation, and cost optimization strategies using Azure Cost Management.

• Manage versioning of models, prompts, and embeddings to ensure reproducibility, auditability, and traceability as part of the…