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Infosys

Gen AI / Agentic AI Lead

Richardson, TX · On-site

$127K - $156K/yr

Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG ...

Spruce Infotech

Agentic Gen AI Engineer

Alpharetta, GA · On-site

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain • Design, build, and deploy agentic AI systems using generative AI models, agent ...

ClinDCast LLC

Gen AI Solution Architect

Charlotte, NC · Hybrid

$75 - $80/hr

Gen AI Solution Architect Location: Charlotte, NC or Jersey City, NJ (Hybrid) Duration: 10-12 months Responsibilities: Lead architecture initiatives from start to finish. Collaborate with business ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Gen AI/ML Solution Architect Location: Houston, TX - (5 days onsite per week) Notes: * Minimum 2-3 Project on GEN AI LLM Architect * Machine Learning with MLOps * Convert business problems to ...

AmeriSave Mortgage Corp.

$175K - $350K/yr

Role Overview: We're seeking a Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications. This role is ideal for a senior ...

SES

Gen AI/Python Developer

Reston, VA

$52.25 - $72/hr

Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent

Tror AI for everyone

Gen AI ML Engineer

Charlotte, NC · On-site

Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications • Bachelor's degree in a technical field • 5 + years in software development and deploying software products ...

WorkNovas LLC

Gen AI Engineer

Sunrise, FL · On-site

Gen AI Engineer Location: Sunrise, FL or Phoenix, AZ Hybrid role - In a week three days onsite. Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy ...

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How much do gen ai jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for gen ai in the United States is $16.84, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Gen AI roles, and how can they be addressed?

Professionals in Gen AI roles often encounter challenges such as managing rapidly evolving technologies, ensuring data privacy, and mitigating bias in generated outputs. Staying current with the latest advancements requires regular upskilling and engagement with research communities. Collaborating closely with cross-functional teams—such as data scientists, engineers, and product managers—helps ensure responsible AI development and deployment. Proactively addressing these challenges fosters innovative solutions and helps maintain the reliability and ethical standards of generative AI systems.

What jobs pay $3,000 a day?

High-paying jobs that can reach $3,000 a day often include specialized roles such as senior AI engineers, data scientists, or consultants in technology and finance sectors. These positions typically require advanced skills, extensive experience, and often involve freelance or contract work with high hourly rates. In the context of AI, roles like AI project managers or machine learning experts may command such compensation in certain industries.

What are Gen AI jobs?

Gen AI jobs refer to roles that focus on developing, implementing, or utilizing generative artificial intelligence technologies. These positions may involve working with large language models, generative image systems, or other AI tools that create content, code, or data. Professionals in Gen AI jobs might be researchers, engineers, data scientists, or product managers, and their work is shaping how AI can automate creative and analytical tasks. As businesses adopt generative AI, demand for these skills is rapidly increasing across industries.

What are the key skills and qualifications needed to thrive as a Generative AI Specialist, and why are they important?

To thrive as a Generative AI Specialist, you need strong expertise in machine learning, deep learning frameworks, programming (especially Python), and a background in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms, and experience with large language models are typically required, along with relevant certifications. Creativity, problem-solving, and effective communication help professionals stand out in this rapidly evolving field. These skills and qualities are crucial for developing innovative AI solutions, collaborating across teams, and ensuring responsible, impactful AI deployment.
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Infographic showing various Gen Ai job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $35,034 per year, or $16.8 per hour.
Gen AI / Agentic AI Lead

Gen AI / Agentic AI Lead

Infosys

Richardson, TX • On-site

$127K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

96th of 203 rated it services

Job description

Job Summary:
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.
Responsibilities:
• Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
• Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
• Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
• Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
• Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
• Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
• Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
• Mentor junior engineers and contribute to code reviews, design discussions, and best practices.
Qualifications:
Required:
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• 4 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
• Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
• Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
• Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
• Experience with REST API development (FastAPI, Flask) and containerization (Docker).
• Solid understanding of AI governance, model safety, and prompt engineering.
• This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Preferred:
• Exposure to agentic workflows and autonomous agents.
• Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
• Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
• Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
• Experience with multimodal models and perception systems (e.g., vision + language).
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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