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Protocol Intelligence
Data-driven signals on your job's competitivenessHybrid work, mid-level experience and metro location offset by niche AI/LLM skill requirements.
Specialized AI/LLM architecture and MLOps focus makes skills less transferable outside ML-focused roles.
Explicit 5-10 years plus mandatory LLM, MLOps, and presales solution-design requirements.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and design complex enterprise-grade AI solutions focusing on Agentic AI, Generative AI, and Large Language Models (LLMs).
Lead and implement MLOps best practices to ensure scalable and efficient AI/ML workflows.
Provide technical leadership by mentoring AI engineers and collaborating with customers and presales teams to translate business requirements into AI-driven solutions.
Minimum Requirements
5 to 10 years of experience in developing ML-powered services and building enterprise-scale AI/ML solutions.
Bachelor’s or Master’s degree in Computer Science or a related field.
Proven hands-on experience with Generative AI/LLMs and tools such as LangChain, LangSmith, Semantic Kernel, Autogen, and Haystack.
Proficiency in Python, PyTorch, TensorFlow, R, and familiarity with Azure or AWS ML stacks.
Ideal Candidate Profile
Experienced in solution design and customer engagement including presales activities within AI/ML domains.
Capable of providing strategic technical leadership and driving AI/ML adoption and innovation in enterprise settings.
Comfortable working in a fast-paced, engineering-focused environment with cross-functional teams.