Senior GenAI Engineer Architect at Dallas, Atlanta, Chicago, SFO and Seattle
Hybrid in Dallas, TX, US • Posted 1 day ago • Updated 1 day ago

MethodHub
Dice Job Match Score™
🔢 Crunching numbers...
Job Details
Skills
- Having a consulting background is essential.
- Proficient in various AI and Agentic AI frameworks
- including LangChain/LangGraph
- Crew AI
- Semantic Kernel or Open AI Agentic SDK
- Proficiency in programming languages such as Python and SQL
- as well as machine learning libraries like TensorFlow
- PyTorch
- and scikit-learn.
Summary
Job Description
We are seeking a creative and innovative Senior GenAI Engineer Architect /Data Scientist to join our team. 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
Key Responsibilities
Gen AI & Machine Learning Models Development
- Design, develop, and implement both generative and predictive AI models (including NLP, computer vision, etc.).
- Lead the development of innovative solutions such as intelligent autonomous agents for complex tasks and multimodal interactions.
- Integrate agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.
Application Architecture Design, Development, & Integration
- Demonstrates proficiency in API architecture and design to develop custom generative AI applications built with external interfacing, traffic control, runtime execution of business logic, data access, authentication, and deployment components.
- Work with cloud platforms (e.g., Azure, AWS, Google Cloud Platform) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.
- Optimize AI models and algorithms for performance, scalability, and efficiency.
- Ensure the security and compliance of AI solutions, adhering to best practices and regulations.
- Implement monitoring and logging mechanisms to track performance, reliability, and usage of AI solutions
Model Deployment & Maintenance
- Work closely with DevOps and IT teams to deploy AI models into production environments, ensuring scalability, performance, and optimization.
- Monitor and troubleshoot deployed models and pipelines for optimal performance.
- Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).
- Create comprehensive documentation for deployment processes and provide training to relevant teams to ensure proper model management.
AI Research & Integration
- Conduct research to stay at the forefront of emerging AI techniques, tools, and trends.
- Integrate new AI tools and methodologies into existing business processes and applications.
- Lead the development of private GenAI tools, including LLMs and specialized AI use cases.
Collaboration & Communication:
- Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals.
- Lead and contribute to GenAI and AI business development efforts such as capability pitches, demos, proposals, and overall project planning.
- Communicate complex AI concepts and results to non-technical stakeholders.
- Lead and mentor a small team of junior engineers and data scientists.
Required Skills
- Demonstrated excellence in Agentic AI architecture, encompassing development, testing, and research of GenAI agents, utilizing current-generation deployments and pioneering next-generation patterns and research.
- Skilled in constructing agentic systems through techniques such as multi-agent systems, reinforcement learning, dynamic workflows, caching/memory management, and concurrent orchestration.
- Proficient in various AI and Agentic AI frameworks, including LangChain/LangGraph, Crew AI, Semantic Kernel or Open AI Agentic SDK.
- Strong skills in prompt engineering and its techniques including design, development, and refinement of prompts (zero-shot, few-shot, and chain-of-thought approaches) to maximize accuracy and leverage optimization tools.
- Proficiency in programming languages such as Python and SQL, as well as machine learning libraries like TensorFlow, PyTorch, and scikit-learn.
- Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
- Experience with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).
- Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).
- Strong understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis).
- Dice Id: 91094056
- Position Id: 893099
- Posted 1 day ago
Company Info
MethodHub is a global software solutions company that focuses on Cloud, Hyper Automation, ERP, and EAM Services. With close to 1000 employees and a presence in 7 countries, MethodHub services midsize to large companies on a range of business models- Consulting, Fixed Bid, BOT, and SLA-based.
Similar Jobs
It looks like there aren't any Similar Jobs for this job yet.
Search all similar jobs