Overview
On Site
Depends on Experience
Full Time
Accepts corp to corp applications
100% Travel
Skills
Gen AI
LLM
Job Details
Job Title: Senior Manager Generative AI
Location: Dallas, TX/Seattle, WA
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, Google Cloud Platform), 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.