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Urgent! Senior Manager Generative AI Job Opening In Dallas Texas – Now Hiring Info Way Solutions LLC

Senior Manager Generative AI



Job description



Job Title: Senior Manager – Generative AI

Location: Dallas, TX

Department: AI & Data Science

Employment Type: Full-time



Job Summary

We are looking for a Senior Manager – Generative AI to drive implementation and delivery of GenAI-based solutions across business domains.

You will bring a strong foundation in

cloud-native technologies, AI/ML systems, and emerging GenAI methodologies including LLMs, RAG, and agentic architectures.

This role requires hands-on leadership in

engineering execution, technical client interactions, and cross-team collaboration.



Key Responsibilities

GenAI Technical Execution


  • 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.


Project Delivery s Collaboration


  • 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.


Stakeholder s Client Engagement


  • 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.


Communication s 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.






Required Skills s Experience Technical Expertise


  • 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.


Delivery s Leadership


  • 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.


Soft Skills


  • 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.



Required Skill Profession

Management



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