InfoVision Inc.

Agentic AI Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Agentic AI Lead" with a contract length of "unknown" and a pay rate of "unknown." It requires 11+ years in AI/ML, expertise in multi-agent architectures, strong SQL and Python skills, and experience with enterprise deployments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#ML (Machine Learning) #Data Analysis #Python #Leadership #Deployment #Langchain #Data Science #Monitoring #AI (Artificial Intelligence) #SQL (Structured Query Language)
Role description
Role Summary We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep hands‑on experience with multi‑agent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities. This is a hands‑on technical leadership role, not an execution‑only developer position. What This Role Is N • otNot an entry‑level or learning‑on‑the‑job agentic AI ro • leNot an execution‑only LangChain / prompt‑engineering positi • onNot a role where architectural decisions are fully prescribed by othe rs Required Qualificati • ons11+ years of experience in AI/ML, data science, or backend engineering, with significant hands‑on work in agentic or GenAI syste • ms.Proven experience building production‑grade agentic AI systems, not just prototypes or dem • os.Strong understanding • of:Multi‑agent architectu • resPrompt engineering and agent orchestrat • ionEvaluation methodologies for LLM and agentic syst • emsDemonstrated ability to make independent architectural and model decisio • ns.Strong SQL skills for data analysis and debuggi • ng.Proficiency in Python and modern AI/ML tooli ng. Nice to • HaveExperience deploying agentic systems in enterprise or regulated environme • nts.Exposure to MLOps, monitoring, and post‑deployment optimizat • ion.Experience aligning AI system performance with business K PIs.