Gen AI Architect

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, 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 & 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 & 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 & Planning
Create and present technical deliverables such as architecture diagrams,
execution playbooks, and solution walk-throughs.
Help develop reusable collateral (presentations, documentation) to support presales, solutioning, and internal alignment.
Support program and project management workflows using tools like JIRA, Azure
DevOps, etc.

Required Skills & 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 & 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 fastpaced, agile environment.