Gardner Resources Consulting
The Generative AI Tech Lead will be responsible for designing, building, and scaling enterprise-grade AI solutions.
This role requires a blend of deep technical expertise in AI/ML and cloud engineering with the leadership skills to influence solution design, mentor peers, and drive innovation.
The Tech Lead will play a key role in migrating existing ML models to Generative AI, orchestrating autonomous agents, and delivering production-ready systems in a fast-moving environment.
Technical Must-Haves
•
AI Expertise:
6+ years hands-on experience in Artificial Intelligence with a portfolio of innovative, technically complex projects. •
Software Engineering:
Minimum 2 years of experience building, deploying, and owning production systems. •
Cloud Proficiency:
Advanced skills in Microsoft Azure and/or Google Cloud Platform (GCP); strong ability to deploy, scale, and automate cloud-native solutions. •
Web Frameworks:
Expert in FastAPI and modern web frameworks, architecting high-performance asynchronous services. •
Generative AI:
Experience migrating traditional ML models to GenAI, including work with multimodal LLMs, SLMs, and BERT. •
Agentic AI:
Proficient in designing, building, and orchestrating agent-based automation systems. •
Vector Databases:
Production-grade experience with FAISS, Pinecone, or AzureAISearch; expertise in embeddings at scale. •
Programming:
Strong Python skills. •
APIs & Pipelines:
Deep experience designing and building REST, async, and streaming APIs and data pipelines. •
Algorithm Optimization:
Skilled in testing, validating, and tuning algorithms for reliability and performance. •
Data Preparation:
Advanced preprocessing and feature engineering with unstructured and complex data. Soft Skills
• Strong analytical and problem-solving abilities; comfortable tackling complex, ambiguous challenges. • Clear communicator who can translate technical detail into business context. • Collaborative team player with the ability to mentor and influence others across teams. • Research-driven and innovative mindset; comfortable prototyping, experimenting, and pushing boundaries. • Self-motivated, growth-oriented, and passionate about advancing AI adoption.
•
AI Expertise:
6+ years hands-on experience in Artificial Intelligence with a portfolio of innovative, technically complex projects. •
Software Engineering:
Minimum 2 years of experience building, deploying, and owning production systems. •
Cloud Proficiency:
Advanced skills in Microsoft Azure and/or Google Cloud Platform (GCP); strong ability to deploy, scale, and automate cloud-native solutions. •
Web Frameworks:
Expert in FastAPI and modern web frameworks, architecting high-performance asynchronous services. •
Generative AI:
Experience migrating traditional ML models to GenAI, including work with multimodal LLMs, SLMs, and BERT. •
Agentic AI:
Proficient in designing, building, and orchestrating agent-based automation systems. •
Vector Databases:
Production-grade experience with FAISS, Pinecone, or AzureAISearch; expertise in embeddings at scale. •
Programming:
Strong Python skills. •
APIs & Pipelines:
Deep experience designing and building REST, async, and streaming APIs and data pipelines. •
Algorithm Optimization:
Skilled in testing, validating, and tuning algorithms for reliability and performance. •
Data Preparation:
Advanced preprocessing and feature engineering with unstructured and complex data. Soft Skills
• Strong analytical and problem-solving abilities; comfortable tackling complex, ambiguous challenges. • Clear communicator who can translate technical detail into business context. • Collaborative team player with the ability to mentor and influence others across teams. • Research-driven and innovative mindset; comfortable prototyping, experimenting, and pushing boundaries. • Self-motivated, growth-oriented, and passionate about advancing AI adoption.