Job Title: Senior Manager – Generative AILocation: Dallas, TX
Department: AI & Data Science
Employment Type: Full-time
Job SummaryWe 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 ResponsibilitiesGenAI 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.