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Manager Generative Ai Jobs in Texas (NOW HIRING)

Forhyre

Generative AI Strategist

Dallas, TX

$120K - $155K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI. Collaborative Engagement:

Forhyre

Generative AI Strategist

Plano, TX

$116K - $150K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI. Collaborative Engagement:

PB consulting

Generative AI Engineer

Euless, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Irving, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Lewisville, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Grapevine, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Carrollton, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Grapevine, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Bedford, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Hurst, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Duncanville, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Addison, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

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Manager Generative Ai information

What is the difference between Manager Generative Ai vs Data Scientist?

AspectManager Generative AiData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI project managementDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentLeads AI teams, collaborates with product and engineering teams, oversees AI projectsAnalyzes data, develops models, and provides insights; often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that a Manager Generative Ai oversees AI projects and teams focusing on generative models, while a Data Scientist primarily analyzes data and develops models. Managers focus on leadership and strategy, whereas Data Scientists focus on technical analysis and model development.

What are the most commonly searched types of Generative Ai jobs in Texas?

The most popular types of Generative Ai jobs in Texas are:

What cities in Texas are hiring for Manager Generative Ai jobs?

Cities in Texas with the most Manager Generative Ai job openings:

Manager Generative Ai jobs near you

Senior Manager - Generative AI

Info Way Solutions

Dallas, TX • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Info Way Solutions is seeking a Senior Manager – Generative AI to drive the implementation and delivery of GenAI-based solutions across various business domains. The role involves hands-on leadership in engineering execution, technical client interactions, and collaboration across teams, focusing on cloud-native technologies and AI/ML systems.
Responsibilities:
• Lead the implementation of GenAI use cases by orchestrating the development of multi-modal ingestion pipelines, LLM integrations, and retrieval-augmented generation (RAG) architectures.
• Build and manage containerized services, including REST APIs, using serverless platforms or Kubernetes as appropriate.
• Implement AI solutions on cloud platforms (Azure, AWS, GCP), leveraging services like vector stores, unstructured DBs, and in-memory datastores.
• Apply hands-on experience with agent orchestration libraries such as LangGraph, CrewAI, or AutoGen to deliver modular, reusable GenAI solutions.
• Work closely with technical leads, data scientists, and product managers to convert GenAI concepts into scalable and maintainable solutions.
• Own the technical delivery of projects – plan sprints, coordinate with engineering teams, and ensure timely delivery with high quality.
• Provide engineering leadership across multiple initiatives, balancing short-term priorities with long-term architectural goals.
• Support the translation of business problems into GenAI execution strategies.
• Collaborate with client-side technical teams to ground expectations, address risks, and ensure solution feasibility.
• Contribute to solution design discussions, architecture reviews, and deployment planning.
• Create and present technical deliverables such as architecture diagrams, execution playbooks, and solution walk-throughs.
• Help develop reusable collateral (presentations, documentation) to support pre-sales, solutioning, and internal alignment.
• Support program and project management workflows using tools like JIRA, Azure DevOps, etc.
Qualifications:
Required:
• 10–12 years of experience in building AI/ML or data systems with at least 2–3 years in cloud-native environments.
• Experience building, containerizing, and deploying APIs using tools like FastAPI, Flask, or Node.js.
• Familiarity with LLM integration strategies, RAG frameworks, and building pipelines using embeddings and vector DBs.
• Working knowledge of agentic GenAI using frameworks like LangGraph, CrewAI, or AutoGen.
• Solid grasp of cloud technologies: serverless compute, storage solutions, unstructured/NoSQL databases, and network architecture.
• Proven track record of managing end-to-end technical delivery of AI or software solutions.
• Ability to lead mid-sized technical teams and coordinate across cross-functional groups.
• Experience working with client stakeholders to align on requirements, timelines, and solution feasibility.
• Strong verbal and written communication; ability to articulate technical concepts to both technical and non-technical audiences.
• Good organizational skills and comfort working with project management tools (e.g., JIRA, Azure DevOps).
• Strong team player with a problem-solving mindset and the ability to work in a fast-paced, agile environment.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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