AI Lead
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
JD -
Key Requirements:
Experience
o 7-8years of experience in the ideation design and end-to-end implementation of AI solutions.
o Proven track record of leading teams of AI engineers and reporting to senior leadership.
o At least 5 years of hands-on experience working with Azure AI Azure OpenAI Azure AI Foundry Azure Cognitive Services and Azure Machine Learning.
o Strong hands-on coding skills in Python and popular ML/DL libraries.
o Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure preferred).
o Strong SQL required and data engineer skills would be a plus.
Technical Skills:
o Solution Design skills: Design robust AI solution architectures including expertise in designing robust Agentic GenAI systems robust ML & RAG pipelines Context Engineering pipelines agentic orchestration model context protocols(MCP) Agentic Communication Protocol (A2A) and semi-automated agent decision engines while ensuring that systems are scalable secure and efficient including selecting appropriate technologies frameworks and methodologies.
o Ensure seamless integration of AI systems and GenAI Agents with other upstream and downstream enterprise applications databases and processes.
o Strong expertise in data pre-processing various prompt engineering techniques retrieval techniques vector databases indexing strategies (like chunking hierarchical indexing) and hybrid search approaches response quality evaluation evaluation metrics.
o Strong proficiency in Natural Language Processing (NLP) and deep learning techniques for building AI models.
o Experience with large language models (LLMs) such as GPT BERT and OpenAIs fine-tuned models.
o Knowledge of retrieval-based techniques including semantic search vector databases and information retrieval systems.
o Familiarity with APIs and cloud-based data storage solutions (e.g. Azure Blob Storage Cosmos DB etc.).
o Experience with DevOps practices for machine learning including CI/CD for AI systems containerization (Docker) and orchestration (Kubernetes).
Soft Skills:
o Strong communication and collaboration skills with the ability to explain complex AI concepts to non-technical stakeholders.
o Leadership abilities to mentor teams and manage onsite-offshore communications.
o Ability to work independently and in team settings balancing multiple priorities.
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
