What are the responsibilities and job description for the Cloud Architect position at Frame Data & AI?
About the Company
We are looking for a Houston based Senior Engineer/Architect with a passion for Agentic AI to join our team. This role will be focused on building the data services, interfaces, and autonomous workflows and data products that make AI useful. You will design and deploy agentic frameworks that execute complex tasks across enterprise ecosystems.
About the Role
Architect Agentic Systems: Design and implement multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate complex, multi-step business processes.
Responsibilities
- Full Stack Execution: Build responsive, AI-integrated applications that leverage Databricks.
- Modernize Apps: Lead "AI-first" refactoring of legacy applications, moving from deterministic code to probabilistic, agent-driven workflows.
- Engineered Integration: Develop and secure RAG (Retrieval-Augmented Generation) pipelines, integrating vector databases and enterprise data sources via Databricks.
- API Ecosystems: Build and maintain high-performance APIs and database layers that serve as the "hands and eyes" for your AI agents.
- DevOps & AIOPs: Implement CI/CD for LLMs, including automated evaluation (LLM-as-a-judge), monitoring for drift, and managing deployment on Azure Kubernetes Service (AKS) or Container Apps.
Qualifications
- Experience: 5–8 years of full-stack software/data engineering experience. The ideal candidate will own the deliverable. They will need enough proficiency in all aspects of the delivery to contribute, explain, implement the solution, and are expected to have deep expertise in at least one portion of the SDLC delivery.
Required Skills
- The AI Stack: (Required) Hands-on experience building with AI. With deep understanding of Agentic coding tools, strengths and weaknesses & capabilities.
- (Required) Deep understanding of MCP/A2A, Agent frameworks.
- (Preferred) Hands-on experience with LLM orchestration frameworks (LangChain/LangGraph) and prompt engineering.
- The Tech Stack: The ideal candidate can take a greenfield solution from an empty repository to full CI/CD delivery of the entire solution to production scale. You don’t have to be an expert in every facet of this, but you must be proficient to the level of being able to review code, design review solutions, etc.
- (Required) Proficiency in Python and PySpark.
- (Required) Proficiency in AWS Data stack for Data Ingestion, Streaming, Processing, Storage, Transformation, ML, AI and Analytics.
- (Required) Proficiency in at least one Web-based front-end stack.
- (Required) Deep understanding of Security and Identity Management.
- (Required) Deep understanding of Infrastructure as Code (IAC). Proficient in at least one IAC tool such as Terraform.
- (Required) Deep understanding of Version Control Systems and CI/CD (Git/Github preferred), build processes, security scanning, licensing, etc.
- (Preferred) Demonstrated expertise in at least one high-level language (.net, java, C ).
- Demonstrated Mastery: Position will require certifications in AWS/Azure & Databricks. You will be expected to get and maintain at least one Associate Level Azure or Databricks within 30 days of hiring and expected to achieve others based on company needs & roles.
- (Preferred) At least one associate level certification in AWS/Azure and Databricks.
- (Preferred) At least one expert level certification in AWS/Azure or Databricks.
- Distributed Systems: Understanding of asynchronous patterns, message brokers (Service Bus/Kafka), and state management in agentic loops.
- Consulting Mindset: Ability to white-board complex architectures with clients and translate "business problems" into "agentic solutions."
Preferred Skills
- Experience with Vector Databases Knowledge of Semantic Kernel or building custom GPT Actions/Tools.
- Experience in Energy or Industrial sectors (OT data, IoT, or complex supply chain).
- Familiarity with MLflow for tracking experiments and model deployment.
Pay range and compensation package
[Pay range or salary or compensation]
Equal Opportunity Statement
[Include a statement on commitment to diversity and inclusivity.]