AI Development Lifecycle Lead/Coach

Career Soft Solutions, Inc.
Minnesota City, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Continuous Integration Information Engineering DevOps Python (Programming Language) Machine Learning Tensorflow
+12 more
SQL Databases Enterprise Application Integration Google Cloud Large Language Models Multi-Agent Systems Prompt Engineering AI Platforms Kubernetes Information Technology Machine Learning Operations Artificial Intelligence Markup Language (AIML) Docker

Requirements

Bachelor s or Master s degree in Computer Science, Engineering, Data Science, AI, or related field 6-8+ years of working experience within AIML space and min 4+ years of experience of leading/managing/coaching AIML engineering team, especially on AIDLC work model. Strong experience in AI/ML engineering, AI platform delivery, and enterprise AI solution implementation Deep understanding of AI Development Lifecycle (AIDLC), AIDLC frameworks (Spec Kit, BMAD, Spectra etc.), and AI governance frameworks Expertise in Python, APIs, SQL, cloud platforms (Azure, AWS, Google Cloud Platform), and modern AI/ML frameworks Experience with CI/CD pipelines, Docker, Kubernetes, DevOps, and automation practices Strong knowledge of GenAI, LLMs, prompt engineering, and AI orchestration frameworks Experience in model deployment, monitoring, scalability, and operational support Understanding of data engineering, analytics, and enterprise integration patterns Proven leadership experience managing cross-functional technical teams and stakeholders Excellent communication, collaboration, and problem-solving skills

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