Senior GenAI Engineer Architect at Dallas, Atlanta, Chicago, SFO and Seattle

Senior GenAI Engineer Architect at Dallas, Atlanta, Chicago, SFO and Seattle

We are seeking a creative and innovative Senior GenAI Engineer Architect /Data Scientist to join our team podría. This role involves developing cutting‑edge custom GEN‑AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI‑driven insights.

• Design, develop, and implement generative and predictive AI models (including NLP, computer vision, etc.).
• Lead the development of intelligent autonomous agents for complex tasks and multimodal interactions.
• Integrate agentic workflows that automate tasks and improve operational efficiency પડી.
• Work closely with cross‑functional teams to align AI solutions with business objectives.

• Demonstrate proficiency in API architecture and design to build custom generative AI applications with external interfacing, traffic control, runtime execution of business logic, data access, authentication, and deployment components.
• Utilize cloud platforms (e.g., хотят Azure□□□□, AWS, Google Cloud Platform) and big data tools (e.g., Databricks, PySpark) for AI development.
• Optimize AI models for performance, scalability, and efficiency.
• Ensure security and compliance of AI solutions, following best practices and regulations.
• Implement monitoring and logging mechanisms to track performance, reliability, and usage.

• _pol installing and maintaining AI models in production environments with Dev Ops and IT teams.
• Monitor and troubleshoot deployed models and pipelines.
• Design and maintain data pipelines for efficient collection, processing, and storage (e.g., data lakes, warehouses).
• Create documentation and provide training for model management.

• Conduct research to keep abreast of emerging AI techniques, tools, and trends.
• Integrate new AI tools and methodologies into existing processes.
• _Frame the development of private GenAI tools, including LLMs and specialized use cases.

• Collaborate with cross‑functional teams to align projects with business goals.
• Lead and contribute to GenAI and AI business development efforts such as pitches, demos, proposals, and planning.
• Communicate complex AI concepts and results to non‑technical stakeholders.
• Lead and mentor a small team of junior engineers and scientists.

• Excellence in agentic AI architecture, including development, testing, and research of GenAI agents.
• Skills in constructing agentic systems using multi‑agent, reinforcement learning, dynamic workflows, caching/memory, and orchestration.
• Proficiency in AI frameworks such as Lang Chain/Lang Graph, Crew AI, Semantic Kernel, or Open AI Agentic SDK.
• Strong prompt‑engineering skills (zero‑shot, few‑shot, chain‑of‑thought).
• Programming proficiency in Python and SQL, and machine learning libraries Tensor Flow, PyTorch, scikitлөгin.
• Knowledge of URLs, API Endpoints, HTTP Requests, Authentication, JSON/REST, parameters, error handling, rate limits, and documentation.
• Experience with cloud platforms (e.g., AWS, Azure) and big data tools (Databricks, PySpark).
• Familiarity with deployment tools (Azure Dev Ops, Docker, AWS ECS/EKS/Fargate’O) and CI/CD pipelines (Cloud Formation, Code Deploy).
• Strong understanding of data engineering principles and experience with SQL and No
  
  SQL databases (MySQL, Mongo
  
  DB, Redis).