Senior Manager - Generative AI

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.