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Ai Proof Jobs (NOW HIRING)

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113.50K - $136.30K/yr

The Artificial Intelligence (AI) engineer will develop AI/ML proof-of-concept demonstrations and build new AI/ML solutions that scale with the client pipelines and workflows. The role will be ...

Hibu

Applied AI Engineer

King Of Prussia, PA · On-site

Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects * Rapidly builds and iterates on GenAI and Agentic AI ...

Photon

Agentic AI FDE Architect - Dallas, TX

Dallas, TX

$62.25 - $82/hr

Delivering Agentic AI Proof-of-Concepts Deployments: Customer-Facing Platform & Deployment Expertise. Customer Interaction: Lead and execute technical POCs for agentic AI solutions, showcasing the ...

Hibu

Applied AI Engineer

King Of Prussia, PA · On-site

Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects * Rapidly builds and iterates on GenAI and Agentic AI ...

Hibu

Applied AI Engineer

King Of Prussia, PA

Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects * Rapidly builds and iterates on GenAI and Agentic AI ...

Hibu

Applied AI Engineer

King Of Prussia, PA

Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects * Rapidly builds and iterates on GenAI and Agentic AI ...

Hibu

Applied AI Engineer

King Of Prussia, PA · On-site

Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects * Rapidly builds and iterates on GenAI and Agentic AI ...

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Ai Proof information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai proof jobs pay per year?

As of May 28, 2026, the average yearly pay for ai proof in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Proof vs Data Analyst?

AspectAi ProofData Analyst
Required CredentialsCertifications in AI, machine learning, or data scienceBachelor's or master's in data science, statistics, or related fields
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and other industries
Industry UsageDeveloping AI models to prevent bias or manipulationAnalyzing data to inform business decisions

Ai Proof specialists focus on creating systems resistant to AI manipulation, requiring expertise in AI and machine learning. Data Analysts interpret data to support decision-making, often with a background in statistics. While both roles involve data, Ai Proof emphasizes AI robustness, whereas Data Analysts focus on data interpretation.

More about Ai Proof jobs
What cities are hiring for Ai Proof jobs? Cities with the most Ai Proof job openings:
What states have the most Ai Proof jobs? States with the most job openings for Ai Proof jobs include:
What job categories do people searching Ai Proof jobs look for? The top searched job categories for Ai Proof jobs are:
Ai Proof jobs near you
Infographic showing various Ai Proof job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Agentic AI Engineer Lead

Agentic AI Engineer Lead

IT America Inc

Dallas, TX • On-site

$101.40K - $133.50K/yr

Contractor

Posted 14 days ago

Job description

Position: Agentic AI Engineer Lead

Location: Dallas, TX & Basking ridge, NJ – Day one Onsite ( 5 days)

Duration: Long term contract

** Prior Telecom domain experience will be a plus***

We have 2 in Dallas, TX and 1 Lead and Developer in Basking NJ.

All are hybrid role and need urgent attention.

Primary - LangGraph, ReAct, LangChain, LlamaIndex, Python

Secondary - GCP, Google Spanner/Neo4j, CrewAI, AutoGen, OpenAI

Job Description:

The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities.

The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.

Key Responsibilities:

Architecting & Scaling Agentic AI Solutions

Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving.

Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains.

Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.

Hands-On Development & Optimization

Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability.

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning.

Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.

Driving AI Innovation & Research

Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents.

Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions.

Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.

AI Strategy & Business Impact

Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings.

Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production